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USRE42952E1 - Teleradiology systems for rendering and visualizing remotely-located volume data sets - Google Patents

Teleradiology systems for rendering and visualizing remotely-located volume data sets Download PDF

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USRE42952E1
USRE42952E1 US11/229,452 US22945205A USRE42952E US RE42952 E1 USRE42952 E1 US RE42952E1 US 22945205 A US22945205 A US 22945205A US RE42952 E USRE42952 E US RE42952E
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rendering
data
volume data
user
parameters
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Hui Hu
Jun Zhang
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Canon Medical Informatics Inc
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Vital Images Inc
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/20ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/40ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing

Definitions

  • the present invention generally relates to teleradiology systems, specifically to teleradiology systems with remote volume data rendering and visualization capability.
  • Teleradiology is a means of electronically transmitting radiographic patient images and consultative text from one location to another. Teleradiology systems have been widely used by healthcare providers to expand the geographic and/or time coverage of their service, thereby achieving efficiency and utilization of healthcare professionals (e.g., radiologists) with specialty and subspecialty training and skills, resulting in improved healthcare service quality, delivery time, and reduced cost.
  • healthcare professionals e.g., radiologists
  • Data rendering refers to the process of converting data into visual forms so that the information in the data can be understood and interpreted. These visual forms are usually shown on a two-dimensional monitor, film or even paper.
  • Data visualization refers to the process of displaying and studying the rendering results. Two-dimensional data rendering and visualization is straightforward, as a 2D (M ⁇ N) data array can be readily presented as a 2D (M ⁇ N) image which can be displayed (e.g., on a monitor) or printed (e.g., on a film or paper). However, visualizing data of more than two-dimensions is a much more complex task. We refer to a data set with more than two dimensions as volume data.
  • volume data rendering methods reduces or converts an original volume data set into a synthesized data set of different forms, i.e., with reduced dimensions and with different data attributes.
  • a volume data rendering method reduces or converts an original volume data set into a synthesized data set of different forms, i.e., with reduced dimensions and with different data attributes.
  • 3D volume data rendering is called Multi-Planer Reformation (MPR), which is derived from the data within a slice of the 3D data “cube” by averaging the data along the direction perpendicular to the slice.
  • MPR Multi-Planer Reformation
  • the rendering parameters e.g., the locations, orientations, and thickness of the slice
  • different 2D images averaged data values
  • volume data rendering is called Maximum Intensity Projection (MIP), where the intensity of each pixel in the MIP image is the maximum intensity encountered in the 3D dataset along each of the parallel or divergent paths defined by viewpoint.
  • MIP Maximum Intensity Projection
  • volume data rendering methods of medical interest also include surface rendering and volume rendering, as well as many variations and/or combinations of these methods.
  • 3D displays for computed tomography by Sandy Napel, p. 603-626, in the book entitled “Medical CT and Ultrasound: current technology and applications” published by Advanced Medical Publishing, 1995.
  • Medical image acquisition techniques include X-ray, Computed Tomography (CT), Magnetic Resonance (MR), UltraSound (US), and Nuclear Medicine.
  • Nuclear Medicine further includes Single Photon Emission Computed Tomography (SPECT) and Position Emission Tomography (PET).
  • SPECT Single Photon Emission Computed Tomography
  • PET Position Emission Tomography
  • volume data rendering and visualization methods have become essential methods, in addition to the traditional slice-by-slice 2D image studies.
  • the de facto standard for CT angiography image display is MIP, which results in a 2D image highlighting the vascular structures.
  • the volume data rendering result is usually obtained by interactively adjusting the rendering parameters, such as the viewpoint (i.e., the orientation), the spatial region and/or the value range of interest of the volume data.
  • volume data rendering/visualization systems including software and hardware.
  • Prior art includes U.S. Pat. 4,737,921 by Goldwasser et al., U.S Pat. No. 5,649,173 by Lentz, and many related patents.
  • the current volume data rendering/visualization systems have been designed as local dedicated systems, rather than as network based systems.
  • volume data rendering and visualization can only be done when the data to be rendered as well as the required rendering/visualization software and hardware are resided in the computer which is used to perform this task.
  • a user wants to obtain the volume data rendering result for a remotely located data set, he/she has to 1) transmit the entire volume data set from the remote location to his local computer via a network; 2) generate the rendering result from the local copy of the data and display the result, using the rendering/visualization software and hardware installed on his local computer.
  • This approach referred to as the two-step (i.e., transmitting and rendering/visualizing) approach, is often impractical and undesirable for the following reasons:
  • Teleradiology applications require unique attentions to data security (including patient privacy) and data integrity as well as other medical and legal issues. 4) Teleradiology applications require a unique image distribution solution for medical image data and the electronic medical record that is suitable for large scale (e.g., healthcare enterprise-wide) deployment and that is fully integrated with medical image data source and data management.
  • This invention provides a method and apparatus that allow healthcare providers (e.g., radiologists, other physicians, and supporting staffs) to render and study remotely located volume patient data at the locations of their choices.
  • healthcare providers e.g., radiologists, other physicians, and supporting staffs
  • the capability of rendering/visualizing remotely located volume data only becomes available by fully integrating data transmission and volume data rendering functionalities currently supported by two types of products, i.e., teleradiology systems and volume data rendering/visualization systems.
  • An object of the invention is to develop methods and apparatus that allow healthcare providers (e.g., radiologists, other physicians, and supporting staffs) to render and study remotely located patient data at the locations of their choices.
  • healthcare providers e.g., radiologists, other physicians, and supporting staffs
  • Another object of the invention is to develop methods and apparatus of teleradiology that allows rendering and studying of remotely located patient volume data without transmitting the entire data to the user's local computer.
  • Another object of the invention is to develop a secure cost-effective healthcare enterprise-wide solution for data rendering and visualization, and for image data distribution.
  • Another object of the invention is to provide a solution to further integrate (combine) results from different rendering results, from different rendering methods, from different data sets (regardless of whether they are locally or remotely located), and/or, from different image data acquisition methods.
  • Another object of the invention is to develop methods and apparatus for data rendering and visualization that efficiently utilizes the high-power computer hardware and/or software at remote locations and alleviates the burden on the network as well as on the user's local computer (hardware and/or software).
  • Another object of the invention is to develop methods and apparatus that allows software to be centrally installed and managed and to be provided to the user's local computer on an as-needed basis. Furthermore, the software can automatically adjust its configuration based on the user input and/or the configuration of the user's local computer and network.
  • the teleradiology system of the invention provides a healthcare enterprise-wide solution for rendering and visualization of a remotely located data. It substantially overcomes problems of the prior art as described above. In particular, it is extremely cost-effective, ubiquitously accessible, secure and flexible.
  • the teleradiology system of the invention will improve the accessibility, utilization, and therefore applications, of data (in particular, volume data) rendering and visualization in medicine.
  • FIG. 1 is a schematic diagram illustrating principal elements of the teleradiology system with remote volume data rendering/visualization capability.
  • FIG. 2 is a schematic diagram illustrating principal elements of current (prior art) teleradiology systems.
  • the preferred embodiment of the teleradiology system of the invention is comprised of a data transmitting station 100 , a receiving station 300 , and a network (or a data transmission channel) 200 connecting transmitting station 100 and receiving station 300 .
  • a data security (system) 34 extends into transmitting station 100 , receiving station 300 and network 200 .
  • Receiving station 300 comprises a data receiver 26 , a send request 22 , a user interface 32 , a data decompressor 28 , a display system 30 , a central processing system 24 , and, data security 34 .
  • Transmitting station 100 comprises a data transmitter 16 , a receive request 20 , a data compressor 14 , a volume data rendering generator 12 , a central processing system 18 , and, data security 34 .
  • Receiving station 300 is controlled by a user 400 and is typically located at the healthcare professional's office or home.
  • Transmitting station 100 is usually located proximate to an image data source 10 (e.g., proximate to image database and/or archiving of a Radiology department).
  • image data source 10 may be included in transmitting station 100 .
  • user 400 via user interface 32 specifies, one at a time, 1) at least one image data set to be visualized; 2) at least one data rendering method to be used, 3) the rendering parameters used by each rendering method, and 4) the data transmission parameters for controlling data transmission over network 200 .
  • Central processing system 24 on receiving station 300 takes and validates the user request. Central processing system 24 then issues the request, which is sent via send request 22 to transmitting station 100 through network 200 .
  • Central processing system 18 on transmitting station 100 receive the request via receive request 20 .
  • volume data rendering generator 12 accesses from image data source 10 the image data set which the user has specified, and then generates the data rendering result based on the data rendering method and parameters which the user has specified.
  • the rendering result is usually a 2D image, much smaller in size than the original data set.
  • Data compressor 14 further compresses the result and other parameters based on data transmission parameters which the user has specified. Then, data transmitter 16 on transmitting station 100 transmits the compressed data to data receiver 26 on receiving station 300 via network 200 based on data transmission parameters which the user has specified.
  • data decompressor 28 decompresses (or restores) the rendering result. (The central processing system 24 may also perform further image processing and operations.)
  • Display system 30 displays the result (the image) and other parameters on user interface 32 . Via user interface 32 , user 400 can further modify 1) the image data set to be visualized, 2) the data rendering method to be used, 3) the rendering parameters used, and 4) the data transmission parameters used. This process goes on until a satisfactory rendering and visualization result is obtained.
  • the response time from a user request to the display of the required result is very short and can be ignored or tolerated.
  • the user can interactively control data rendering as well as transmission, and visualize the rendering result in “real-time”.
  • the user can have virtually the same access to the remotely located volume data that he would have if it were the user's computer.
  • FIG. 2 shows the principal elements of current (prior art) teleradiology systems.
  • the elements in FIG. 2 that correspond to those in FIG. 1 are annotated with the same numbers as in FIG. 1 , suffixed by A.
  • the suffix is ignored for network ( 200 ), user ( 400 ), and image data source ( 10 ).
  • the teleradiology system of the invention provides a truly integrated functionality of data transmission of current teleradiology systems and volume data rendering and visualization of current volume data rendering/visualization systems.
  • This integration represents a fundamental change for both teleradiology systems and volume data rendering/visualization systems.
  • this integration represents a change from the image (2D data) based design to the volume data based design and, consequently, requires special designs in volume data rendering generation ( 12 ), rendering display ( 30 ), and rendering control (i.e., user interface 32 ).
  • this integration represents a change from the local dedicated system design to network based system design and, consequently, requires special designs in data transmission ( 16 , 26 , 20 , 22 ), data compression ( 14 )/decompression ( 28 ), data security ( 34 ), and transmission control (i.e., user interface 32 ).
  • the fundamental change required may explain why this new teleradiology system has not been proposed until now even though both teleradiology systems and volume data rendering/visualization systems have existed for a decade.
  • Volume data rendering and visualization is a well-established field.
  • the data rendering methods of medical interest include multi-planer reformation, maximum intensity projection, surface rendering, volume rendering, as well as many variations and/or combinations of these methods.
  • the rendering parameters include the viewpoint (i.e., the orientation), the spatial region and the value range (e.g., controlled by thresholds) of the data to be rendered.
  • Volume data rendering in medical applications also relies on image processing tools and data editing tools to select spatial regions of the data set to be rendered (e.g., to exclude the bone structures) and to highlight the structure of interest (e.g., the vascular tree).
  • volume data rendering generator 12 ( FIG. 1 ).
  • Volume data rendering generator 12 may be implemented on a general-purpose computer, or on a high-performance dedicated computer or computing board (or card, unit) optimized for rendering generation.
  • display system 30 on receiving station 300 may be implemented on a general-purpose display system available on typical computers, or on a high-performance dedicated display system.
  • high-performance dedicated systems will improve the data rendering and display speed and therefore the response time and the level of interactivity of the teleradiology system.
  • general-purpose systems will widen the applicability of this system. (U.S. Pat. No. 5,649,173, for example, teaches recent developments regarding graphic computers.)
  • volume data rendering generator 12 is implemented on a high-performance dedicated rendering board, while display system 30 is implemented on a general purpose display system available on typical computers.
  • User interface 32 A of current teleradiology systems ( FIG. 2 ) only allows transmitting and displaying 2D images and other display parameters (e.g., display window parameters).
  • user interface 32 of the teleradiology system of the invention ( FIG. 1 ) can, in addition, control rendering and transmission of a volume data set, and display the rendering results and rendering parameters.
  • volume data rendering results are typically in different forms from the original volume image data which these results are generated from.
  • the design and functionality of user interface 32 of the teleradiology system of the invention is similar to that of the current volume data rendering/visualization systems. These design and functionality are well established.
  • user 400 can, via user interface 32 , adjust rendering parameters (e.g., viewpoint as well as spatial region and value range of the data to be rendered) and other settings.
  • rendering parameters e.g., viewpoint as well as spatial region and value range of the data to be rendered
  • the techniques for adjusting these parameters and settings include 1) using preset protocols for some typical settings; 2) inputting a specific setting with a keyboard, a mouse and/or other input devices; and/or 3) interactive navigation using a mouse, a trackball, a joystick, a keyboard and/or other navigating devices.
  • user 400 can, via user interface 32 , edit (including process) patient data (e.g., remove the bone structures) in a manner similar to the current volume data rendering/visualization systems.
  • user 400 can, via user interface 32 , define and adjust data rendering methods and parameters, control what is to be rendered, transmitted and visualized next, and eventually obtain the final rendering result.
  • the user interface 32 A of current teleradiology systems ( FIG. 2 ) lacks these functionalities of volume data rendering control and display as well as ‘on-demand’ transmission control.
  • volume data rendering generator rendering methods, volume data rendering generator, general/special rendering and display hardware, rendering and visualization software, as well as user interface design and functionality, implementing the volume data rendering and visualization aspects of the teleradiology system of the invention should be clear to one with ordinary skill in the volume data rendering/visualization field.
  • Data transmission is a well-established field. Transmission of medical image data over networks has been widely utilized in teleradiology. Many teleradiology systems are currently available. Teleradiology systems require careful consideration in data transmission media (concerning 200 ) and protocol (concerning 16 , 26 , 20 , 22 and 32 ), data compression (concerning 14 , 28 and 32 ), data security ( 34 and 32 ), integration with image data source and data management (concerning 10 and 32 ).
  • the preferred transmission media may be an intranet, the internet (including the internet2) or via a direct dial-up using a telephone line with a modem.
  • the preferred data transmission protocol (for components 16 , 26 , 20 , 22 ) is the standard TCP/IP.
  • user 400 can control certain aspects (e.g., the priority level, the speed) of data transmission by selecting transmission parameters via user interface 32 . These should be well known to one with ordinary skill in the network communication field.
  • Data compression is a technique for densely packaging the data to be transmitted to efficiently utilize a given bandwidth of network 200 during transmission. This operation is done by data compressor 14 on transmitting station 100 . After transmission of compressed data to receiving station 300 , data decompressor 28 restores the compressed data in a format ready to be used.
  • the data compressor 14 and decompressor 28 can be implemented either on dedicated processors for improved response speed or on general propose processors for wide applicability.
  • user 400 can select data compression and transmission parameters via user interface 32 .
  • these selections are done automatically by the teleradiology system based on the system configuration and the data to be transmitted.
  • the compression method selected can be lossless (i.e., the compressed data can be fully restored) or lossy (i.e., the compressed data can only be partially restored).
  • the attainable data compression ratio is about 3:1 for lossless compression and much higher for lossy compression.
  • the data compression ratio represents a tradeoff of preserving image fidelity (with less compression) versus increasing transmission speed (with more compression). Furthermore, transmitted images can also be refined progressively. Due to medical and legal considerations, the teleradiology system of the invention provides lossless and virtually lossless compressions to avoid misdiagnosis. It also provides progressive refinement for improved interactivity.
  • the image compression/decompression techniques used for the teleradiology system of the invention are similar to that for existing teleradiology systems (i.e., 14 A, 28 A and 32 A in FIG. 2 ).
  • the teleradiology system of the invention may be readily integrated with medical image data source 10 .
  • medical image data are stored in the Digital Imaging COmmunications in Medicine (DICOM) standards.
  • DICOM Digital Imaging COmmunications in Medicine
  • NEMA National Electrical Manufacturers Association
  • DICOM is a hierarchical approach to the storage and communication of medical image data. The patient is the top level of this hierarchy. A patient makes visits to a medical service provider, who performs studies concerning this patient. Studies concerning a given patient are composed of study components (e.g., physician's notes concerning the patient, patient identification information, administrative data) and series.
  • the teleradiology system of the invention is able to search image data source 10 on the basis of a patient, a study, a series, or some combination thereof. It is able to save the studies on receiving station 300 and/or transmitting station 100 for future viewing. Furthermore, it is able to capture the consultation messages.
  • the teleradiology system of the invention is similar to existing teleradiology systems.
  • Data security 34 includes the security measures for authentication (i.e., proof of identity), access control, confidentiality, and data integrity. (For detailed technical descriptions on data security, reference may be made to the International Organization for Standardization (ISO) security architecture defined in section 5 of ISO/IEC 7498-2, 1989.)
  • ISO International Organization for Standardization
  • name and password are required to identify the authorized user 400 via user interface 32 .
  • Access privileges to the teleradiology system in general and to transmitting station 100 in particular are user specific.
  • An audit trail of system resource usage, patient information access, etc. is provided. Encryption of demographics is employed. Firewalls are installed for Internet connections.
  • Data security measures for the teleradiology system of the invention are similar to that for current teleradiology systems (refer to 34 A and 32 A in FIG. 2 ).
  • the teleradiology system of the invention integrates the functionality of data transmission of current teleradiology systems and volume data rendering/visualization of current volume data rendering/visualization systems.
  • the current two-step approach discussed in the Background of the Invention simply installs an existing teleradiology system (i.e., receiving station 300 A in FIG. 2 ) and an existing volume data rendering/visualization system on one computer.
  • the teleradiology system of the invention by true integration, provides new functionalities for on-demand rendering and transmission control and new capabilities for rendering and studying remotely located volume data. In comparison, these functionality and capability do not exist in the current two-step approach, i.e., via a simple combination.
  • user 400 can navigate through a remotely located volume data set, interactively define and adjust the rendering method and parameters, control what is to be rendered, transmitted and visualized next, and eventually obtain the final rendering result.
  • user 400 can render and visualize a remotely located volume data set without transmitting the entire volume data set to the user's local computer.
  • the teleradiology system of the invention greatly alleviates network speed limitations. Furthermore, it eliminates the long initial delay associated with transmitting a large data set over a network, and therefore rendering and visualization can be started almost immediately. It also avoids the problem of generating multiple copies of the data at different locations, which is often desirable for patient data management. With the teleradiology system of the invention, the healthcare providers can further expand the geographic and/or time coverage of their service, resulting in improved healthcare service quality, delivery time, and patient data management, as well as reduced cost.
  • the teleradiology system generates the data rendering result exclusively on transmitting station 100 , and then transmits the rendering result to receiving station 300 .
  • the hardware e.g., memory, storage, and computation
  • the volume rendering operation can be performed exclusively on transmitting station 100 .
  • This embodiment allows a full utilization of the computer hardware capability at transmitting station 100 , and therefore minimizes the hardware requirements on receiving station 300 .
  • users can perform advanced volume data rendering and visualization even with the most basic local computers as receiving stations 300 .
  • transmitting station 100 only does a partial computation (e.g., generating a surface rendering model).
  • Central processing system 24 on receiving station 300 completes the remaining part of the computation based on the partial computation done by transmitting station 100 , and displays the final rendering result on user interface 32 via display system 30 .
  • This embodiment may sometimes further reduce the network load by performing some computations on the user's local computer.
  • the teleradiology system of the invention uses client-server design architecture.
  • software of this system can be installed, maintained, and upgraded on one station, referred to as the software server, while the other station is referred to as the software client.
  • transmitting station 100 acts as the software server and receiving station 300 as the software client.
  • the software for the software client can be supplied by the software server via network 200 at each time of use. Alternatively, it can be installed on the software client once and for future use. In the latter case, the software client is notified, via network 200 , when a software upgrade is available.
  • the client-server software implementation greatly reduces the cost of licensing as well as installing, maintaining, and upgrading software on each software client.
  • the system of the invention also can charge the use of the system on either per license basis, per use basis, or other basis.
  • the software to be run at receiving station 300 is developed based on standard Web browsers (e.g., Microsoft Explorer or Netscape Navigator).
  • the software for receiving station 300 can be a “plug-in” of the Web browser, which is installed once and is an integral part of the Web browser on receiving station 300 .
  • the software for receiving station 300 can be a Java applet, which is a program sent from transmitting station 100 each time the program is used. (For technical details on Java applet, refer to Horstmann C S, Cornell G. Core Java, Vol 1: Fundamentals. Sun Microsystems, 1998.)
  • Web browser based software makes volume data rendering/visualization software available to any authorized user with a networked computer.
  • Java based software makes it work on commonly used operation platforms (e.g., Unix and PC).
  • the client-server implementation and Web browser based implementation make the proposed system very accessible. Any authorized user can perform advanced volume data rendering and visualization tasks from the user's preferred location using a networked computer. As an example, a user can perform advanced volume data rendering and visualization tasks even with the most basic local computers (e.g., the user's desktop computer) and even without the current volume data rendering/visualization software installed on the user's computer.
  • multiple receiving stations 300 can be connected to a transmitting station 100 and multiple transmitting stations 100 may be connected to a receiving station 300 .
  • Multiple receiving stations 300 can operate individually, i.e., without interfering with each other.
  • some receiving stations may also operate in a collaborative (conference) mode so that the user input at, and the display on, one receiving station can be viewed by multiple receiving stations as a group.
  • multiple computers may be used to collectively serve the function of one transmitting station 100 .
  • the teleradiology system of the invention is well suited as a healthcare enterprise-wide image distribution solution. Furthermore, it can serve as an enterprise-wide PACS (Picture Archiving Communication System) and can be readily integrated with other PACS and image distribution systems.
  • PACS Picture Archiving Communication System
  • the teleradiology system of the invention is a preferred image distribution method for medical image data, for medical information/data repository, and for the electronic medical record (or computerized patient record).
  • the patient data contains not only image data but also other data (e.g ECG) and information (e.g., notes on patient medical history).
  • the teleradiology system of the invention can be used for rendering and visualizing multiple images resulted from different rendering methods and parameters, from different data sets (regardless of whether they are locally or remotely located), and/or different image data acquisition methods (e.g. CT, MR, US).
  • the rendering methods include volume data rendering as well as conventional 2D image rendering.
  • the multiple displays may be updated individually or simultaneously. For example, images of axial, sagittal and coronal multiplaner reformation containing cursor position may be displayed and updated simultaneously as the cursor moves. Furthermore, maximum intensity projection, volume rendering, and/or, surface rendering results may be individually or simultaneously displayed and/or updated with axial, sagittal and/or coronal images.
  • results from different studies can be individually or simultaneously displayed and/or updated for comparison.
  • the different rendering results from different rendering methods, different rendering parameters, different data sets, and/or different image data acquisition methods can be further combined to form one or multiple composite images.
  • the system may have many different operation modes. Examples of different operation modes that have been discussed in previous sections include the different divisions of the rendering generation task between receiving station 300 and transmitting station 100 , different data compression/decompression operations with different data compression ratios, different data transmission modes for network 200 . In general, the different operation modes also require different software configurations. As exemplified in previous discussions, the different operation modes may be selected either by user 400 via user interface 32 , or by one or more automated computer program. Using software configurations as an example, the selection of software configurations can be accomplished with user intervention. Alternatively, software can automatically adjust its configuration based on, for example, the configuration of the teleradiology system (network and transmitting/receiving stations) as well as the data rendering task. For example, if the software detects that receiving station 300 has very basic hardware resources (in terms of memory, storage, and/or computation power) for the data rendering task, it automatically uses the software that performs data rendering exclusively on transmitting station 100 .
  • very basic hardware resources in terms of memory, storage, and
  • image data source 10 is accessed via transmitting station 100 and transmitting station 100 also acts as the software server
  • this invention also includes other embodiments.
  • image data source 10 is accessed via transmitting station 100 , but receiving station 300 acts as the software server instead.
  • transmitting station 100 will use the volume data rendering software provided by receiving station 300 via network 200 to generate the rendering result, partially or completely, on transmitting station 100 .
  • transmitting station 100 acts as the software server, but image data source 10 is located proximate to, and accessed via, receiving station 300 instead.
  • receiving station 300 will use the volume data rendering/visualization software provided by transmitting station 100 via network 200 to generate, completely on receiving station 300 , the rendering result.

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Abstract

A teleradiology system provides the capability of rendering and studying of a remotely located volume data without requiring transmission of the entire data to the user's local computer. The system comprises: receiving station (300) under the control of a user (400); transmitting station (100); the connecting network (200); the user interface (32) with functionality of controlling volume data rendering, transmission, and display; and the interface with patient data source (10). The teleradiology system of the invention provides an integrated functionality of data transmission of current teleradiology systems and volume data rendering/visualization of current volume data rendering/visualization systems. The system may be readily used with an intranet, the internet (including the internet2) or via a direct dial-up using a telephone line with a modem, and can serve as an enterprise-wide PACS and may be readily integrated with other PACS and image distribution systems. Software of this system can be centrally installed and managed and can be provided to the user's local computer on an as-needed basis. Furthermore, the software for the user's computer is developed to use with standard web browser. This system provides a secure, cost-effective, widely-accessible solution for data rendering and visualization. It provides a suitable image distribution method for medical image data, for medical data repository, and for the electronic medical record (or the computerized patient record). It allows healthcare providers (e.g., radiologists, other physicians, and supporting staffs) to render and study remotely located patient data at the locations of their choices.

Description

BACKGROUND OF THE INVENTION
The present invention generally relates to teleradiology systems, specifically to teleradiology systems with remote volume data rendering and visualization capability.
Teleradiology is a means of electronically transmitting radiographic patient images and consultative text from one location to another. Teleradiology systems have been widely used by healthcare providers to expand the geographic and/or time coverage of their service, thereby achieving efficiency and utilization of healthcare professionals (e.g., radiologists) with specialty and subspecialty training and skills, resulting in improved healthcare service quality, delivery time, and reduced cost.
Existing teleradiology systems have been designed for, and are only capable of, transmitting two-dimensional (2D) images in a predetermined order, similar to a fax machine, faxing page by page in a predetermined order. Prior art includes U.S. Pat. No. 4,748,511 by Nichols et al, U.S. Pat. No. 5,291,401 by Robinson, and many related patents. None of them is optimized for volume data rendering and study.
Data rendering refers to the process of converting data into visual forms so that the information in the data can be understood and interpreted. These visual forms are usually shown on a two-dimensional monitor, film or even paper. Data visualization refers to the process of displaying and studying the rendering results. Two-dimensional data rendering and visualization is straightforward, as a 2D (M×N) data array can be readily presented as a 2D (M×N) image which can be displayed (e.g., on a monitor) or printed (e.g., on a film or paper). However, visualizing data of more than two-dimensions is a much more complex task. We refer to a data set with more than two dimensions as volume data.
Visualizing volume data requires volume data rendering methods. In general, a volume data rendering method reduces or converts an original volume data set into a synthesized data set of different forms, i.e., with reduced dimensions and with different data attributes. For example, one method of 3D volume data rendering is called Multi-Planer Reformation (MPR), which is derived from the data within a slice of the 3D data “cube” by averaging the data along the direction perpendicular to the slice. In this way, MPR reduces 3D data into a 2D image, presenting averaged data values in the slice. As the rendering parameters (e.g., the locations, orientations, and thickness of the slice) change, different 2D images (averaged data values) of the 3D dataset are obtained. With MPR, one can view images of any oblique slice in addition to conventional horizontal slices. Another method of volume data rendering is called Maximum Intensity Projection (MIP), where the intensity of each pixel in the MIP image is the maximum intensity encountered in the 3D dataset along each of the parallel or divergent paths defined by viewpoint. Besides MPR and MIP, volume data rendering methods of medical interest also include surface rendering and volume rendering, as well as many variations and/or combinations of these methods. For technical details of these data rendering methods, reference may be made to the review article, “3D displays for computed tomography”, by Sandy Napel, p. 603-626, in the book entitled “Medical CT and Ultrasound: current technology and applications” published by Advanced Medical Publishing, 1995.
Medical image acquisition techniques include X-ray, Computed Tomography (CT), Magnetic Resonance (MR), UltraSound (US), and Nuclear Medicine. Nuclear Medicine further includes Single Photon Emission Computed Tomography (SPECT) and Position Emission Tomography (PET).
In modem medical diagnosis and treatment planning, acquisition of volume data becomes a rule rather than an exception. Thus, volume data rendering and visualization methods have become essential methods, in addition to the traditional slice-by-slice 2D image studies. For example, the de facto standard for CT angiography image display is MIP, which results in a 2D image highlighting the vascular structures. The volume data rendering result is usually obtained by interactively adjusting the rendering parameters, such as the viewpoint (i.e., the orientation), the spatial region and/or the value range of interest of the volume data.
There are many volume data rendering/visualization systems (including software and hardware). Prior art includes U.S. Pat. 4,737,921 by Goldwasser et al., U.S Pat. No. 5,649,173 by Lentz, and many related patents. In order to improve the graphics performance, the current volume data rendering/visualization systems have been designed as local dedicated systems, rather than as network based systems.
Currently, volume data rendering and visualization can only be done when the data to be rendered as well as the required rendering/visualization software and hardware are resided in the computer which is used to perform this task. If a user wants to obtain the volume data rendering result for a remotely located data set, he/she has to 1) transmit the entire volume data set from the remote location to his local computer via a network; 2) generate the rendering result from the local copy of the data and display the result, using the rendering/visualization software and hardware installed on his local computer. This approach, referred to as the two-step (i.e., transmitting and rendering/visualizing) approach, is often impractical and undesirable for the following reasons:
  • 1) This approach requires transmitting a large volume data set (e.g., 150 MB in a CT angiography study) over a network, which frequently is not practical for even normal networks (such as, the Ethernet) available in a hospital setting. It is even less practical for a direct dial-up (from home) using a telephone line with a modem.
  • 2) This approach causes a long initial delay because it takes a long time to transmit a large data set over a network, and the rendering and study cannot be started until transmission of the entire data set is completed. This delays the delivery of healthcare service.
  • 3) This approach is costly because performing volume data rendering/visualization this way imposes stringent requirements on the network as well as the hardware (e.g., memory, storage, and processing power) and software (special for volume data rendering/visualization) of the user's local computer.
  • 4) This approach, because of the high cost, cannot be deployed in a large scale, and therefore cannot serve as a healthcare enterprise-wide image distribution solution.
  • 5) This approach cannot provide ubiquitous access and distribution of images to the points of the user's choice, as it can only provide image access via limited designated points of access.
  • 6) Medical images are not used in a vacuum. Clinicians integrate the information derived from imaging studies with other clinical data (such as ECG, the blood pressure, the patient medical history) in order to make patient management decisions. What the clinician requires is ubiquitous access of the so-called electronic medical record, which integrates both image data and other clinical data. The two-step approach, due to its high cost and limited fixed access points, is not a suitable image distribution method for the electronic medical record.
  • 7) This approach requires generating local copies of the patient data to be studied, which is often undesirable for patient data management.
Though solving above problems has substantial commercial benefits, no satisfactory solution exists that allows healthcare providers to render and study remotely located volume patient data.
Rendering and visualizing data generated by a remotely located scientific instrument or supercomputer has been studied for several years. Prior art includes U.S. Pat No. 5,432,871 by Novik and many related patents. Also reference may be made to “Data and Visualization Corridors: Report on the 1998 DVC Workshop Series” by P. H. Smith & J. van Rosendale, California Institute of Technology Technical Report CACR—164 September 1998. The applications taught hereby distinctly differ from teleradiology applications in the following aspects. 1) The objects to be studied are fundamentally different—patient data versus scientific measurements and computations, requiring different rendering/visualization methods as well as different user interactions/interfaces. 2) Teleradiology applications have unique requirements in regard to real-time interactivity and image fidelity. 3) Teleradiology applications require unique attentions to data security (including patient privacy) and data integrity as well as other medical and legal issues. 4) Teleradiology applications require a unique image distribution solution for medical image data and the electronic medical record that is suitable for large scale (e.g., healthcare enterprise-wide) deployment and that is fully integrated with medical image data source and data management.
SUMMARY OF THE INVENTION
This invention provides a method and apparatus that allow healthcare providers (e.g., radiologists, other physicians, and supporting staffs) to render and study remotely located volume patient data at the locations of their choices. The capability of rendering/visualizing remotely located volume data only becomes available by fully integrating data transmission and volume data rendering functionalities currently supported by two types of products, i.e., teleradiology systems and volume data rendering/visualization systems.
Objects and Advantages of the Invention
An object of the invention is to develop methods and apparatus that allow healthcare providers (e.g., radiologists, other physicians, and supporting staffs) to render and study remotely located patient data at the locations of their choices.
Another object of the invention is to develop methods and apparatus of teleradiology that allows rendering and studying of remotely located patient volume data without transmitting the entire data to the user's local computer.
Another object of the invention is to develop a secure cost-effective healthcare enterprise-wide solution for data rendering and visualization, and for image data distribution.
Another object of the invention is to provide a solution to further integrate (combine) results from different rendering results, from different rendering methods, from different data sets (regardless of whether they are locally or remotely located), and/or, from different image data acquisition methods.
Another object of the invention is to develop methods and apparatus for data rendering and visualization that efficiently utilizes the high-power computer hardware and/or software at remote locations and alleviates the burden on the network as well as on the user's local computer (hardware and/or software).
Another object of the invention is to develop methods and apparatus that allows software to be centrally installed and managed and to be provided to the user's local computer on an as-needed basis. Furthermore, the software can automatically adjust its configuration based on the user input and/or the configuration of the user's local computer and network.
The teleradiology system of the invention provides a healthcare enterprise-wide solution for rendering and visualization of a remotely located data. It substantially overcomes problems of the prior art as described above. In particular, it is extremely cost-effective, ubiquitously accessible, secure and flexible. The teleradiology system of the invention will improve the accessibility, utilization, and therefore applications, of data (in particular, volume data) rendering and visualization in medicine.
These and further objects and advantages of the invention will become apparent from the ensuing specification, taken together with the accompanying drawings.
DESCRIPTION OF THE DRAWINGS
FIG. 1 is a schematic diagram illustrating principal elements of the teleradiology system with remote volume data rendering/visualization capability.
FIG. 2 is a schematic diagram illustrating principal elements of current (prior art) teleradiology systems.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT
With reference to FIG. 1, the preferred embodiment of the teleradiology system of the invention is comprised of a data transmitting station 100, a receiving station 300, and a network (or a data transmission channel) 200 connecting transmitting station 100 and receiving station 300. A data security (system) 34 extends into transmitting station 100, receiving station 300 and network 200.
Receiving station 300 comprises a data receiver 26, a send request 22, a user interface 32, a data decompressor 28, a display system 30, a central processing system 24, and, data security 34. Transmitting station 100 comprises a data transmitter 16, a receive request 20, a data compressor 14, a volume data rendering generator 12, a central processing system 18, and, data security 34.
Receiving station 300 is controlled by a user 400 and is typically located at the healthcare professional's office or home. Transmitting station 100 is usually located proximate to an image data source 10 (e.g., proximate to image database and/or archiving of a Radiology department). In some cases, image data source 10 may be included in transmitting station 100.
In a preferred operation, user 400 via user interface 32 specifies, one at a time, 1) at least one image data set to be visualized; 2) at least one data rendering method to be used, 3) the rendering parameters used by each rendering method, and 4) the data transmission parameters for controlling data transmission over network 200. Central processing system 24 on receiving station 300 takes and validates the user request. Central processing system 24 then issues the request, which is sent via send request 22 to transmitting station 100 through network 200. Central processing system 18 on transmitting station 100 receive the request via receive request 20. Coordinated by central processing system 18, volume data rendering generator 12 accesses from image data source 10 the image data set which the user has specified, and then generates the data rendering result based on the data rendering method and parameters which the user has specified. The rendering result is usually a 2D image, much smaller in size than the original data set. Data compressor 14 further compresses the result and other parameters based on data transmission parameters which the user has specified. Then, data transmitter 16 on transmitting station 100 transmits the compressed data to data receiver 26 on receiving station 300 via network 200 based on data transmission parameters which the user has specified. On receiving station 300 and coordinated by central processing system 24, data decompressor 28 decompresses (or restores) the rendering result. (The central processing system 24 may also perform further image processing and operations.) Display system 30 displays the result (the image) and other parameters on user interface 32. Via user interface 32, user 400 can further modify 1) the image data set to be visualized, 2) the data rendering method to be used, 3) the rendering parameters used, and 4) the data transmission parameters used. This process goes on until a satisfactory rendering and visualization result is obtained.
With a well-designed teleradiology system, the response time from a user request to the display of the required result is very short and can be ignored or tolerated. Thus, the user can interactively control data rendering as well as transmission, and visualize the rendering result in “real-time”. Thus, the user can have virtually the same access to the remotely located volume data that he would have if it were the user's computer.
For comparison, FIG. 2 shows the principal elements of current (prior art) teleradiology systems. The elements in FIG. 2 that correspond to those in FIG. 1 are annotated with the same numbers as in FIG. 1, suffixed by A. The suffix is ignored for network (200), user (400), and image data source (10).
The teleradiology system of the invention (FIG. 1) provides a truly integrated functionality of data transmission of current teleradiology systems and volume data rendering and visualization of current volume data rendering/visualization systems. This integration represents a fundamental change for both teleradiology systems and volume data rendering/visualization systems. For current teleradiology systems, this integration represents a change from the image (2D data) based design to the volume data based design and, consequently, requires special designs in volume data rendering generation (12), rendering display (30), and rendering control (i.e., user interface 32). For current volume data rendering/visualization systems, this integration represents a change from the local dedicated system design to network based system design and, consequently, requires special designs in data transmission (16,26,20,22), data compression (14)/decompression (28), data security (34), and transmission control (i.e., user interface 32). The fundamental change required may explain why this new teleradiology system has not been proposed until now even though both teleradiology systems and volume data rendering/visualization systems have existed for a decade.
Volume Data Rendering and Visualization
Volume data rendering and visualization is a well-established field. There are many volume data rendering/visualization systems for medical applications. The data rendering methods of medical interest include multi-planer reformation, maximum intensity projection, surface rendering, volume rendering, as well as many variations and/or combinations of these methods. The rendering parameters include the viewpoint (i.e., the orientation), the spatial region and the value range (e.g., controlled by thresholds) of the data to be rendered. Volume data rendering in medical applications also relies on image processing tools and data editing tools to select spatial regions of the data set to be rendered (e.g., to exclude the bone structures) and to highlight the structure of interest (e.g., the vascular tree). (For more details on volume data rendering and visualization implementation including software implementation, reference may be made to “The Visualization Toolkit—An Object-Oriented Approach to 3D Graphics”, 2nd edition, by Will Schroeder, Ken Martin, Bill Lorensen, published by Prentice Hall PTR, 1998.)
Volume data rendering generator and display system
The data rendering methods cited above are usually computationally intensive. They are implemented on volume data rendering generator 12 (FIG. 1). Volume data rendering generator 12 may be implemented on a general-purpose computer, or on a high-performance dedicated computer or computing board (or card, unit) optimized for rendering generation. Similarly, display system 30 on receiving station 300 may be implemented on a general-purpose display system available on typical computers, or on a high-performance dedicated display system. Using high-performance dedicated systems will improve the data rendering and display speed and therefore the response time and the level of interactivity of the teleradiology system. On the other hand, using general-purpose systems will widen the applicability of this system. (U.S. Pat. No. 5,649,173, for example, teaches recent developments regarding graphic computers.) As a preferred tradeoff, volume data rendering generator 12 is implemented on a high-performance dedicated rendering board, while display system 30 is implemented on a general purpose display system available on typical computers.
User interface
User interface 32A of current teleradiology systems (FIG. 2) only allows transmitting and displaying 2D images and other display parameters (e.g., display window parameters). In contrast, user interface 32 of the teleradiology system of the invention (FIG. 1) can, in addition, control rendering and transmission of a volume data set, and display the rendering results and rendering parameters. Note that volume data rendering results are typically in different forms from the original volume image data which these results are generated from. In terms of volume data rendering and visualization, the design and functionality of user interface 32 of the teleradiology system of the invention is similar to that of the current volume data rendering/visualization systems. These design and functionality are well established. (Many vendors' products, e.g., the Advantage Windows product made by General Electric Company, can be used as references.) In particular, user 400 can, via user interface 32, adjust rendering parameters (e.g., viewpoint as well as spatial region and value range of the data to be rendered) and other settings. The techniques for adjusting these parameters and settings include 1) using preset protocols for some typical settings; 2) inputting a specific setting with a keyboard, a mouse and/or other input devices; and/or 3) interactive navigation using a mouse, a trackball, a joystick, a keyboard and/or other navigating devices. In particular, user 400 can, via user interface 32, edit (including process) patient data (e.g., remove the bone structures) in a manner similar to the current volume data rendering/visualization systems. With the teleradiology system of the invention, user 400 can, via user interface 32, define and adjust data rendering methods and parameters, control what is to be rendered, transmitted and visualized next, and eventually obtain the final rendering result. The user interface 32A of current teleradiology systems (FIG. 2) lacks these functionalities of volume data rendering control and display as well as ‘on-demand’ transmission control.
With the above descriptions on system components, rendering methods, volume data rendering generator, general/special rendering and display hardware, rendering and visualization software, as well as user interface design and functionality, implementing the volume data rendering and visualization aspects of the teleradiology system of the invention should be clear to one with ordinary skill in the volume data rendering/visualization field.
Data Transmission
Data transmission is a well-established field. Transmission of medical image data over networks has been widely utilized in teleradiology. Many teleradiology systems are currently available. Teleradiology systems require careful consideration in data transmission media (concerning 200) and protocol (concerning 16,26,20,22 and 32), data compression (concerning 14, 28 and 32), data security (34 and 32), integration with image data source and data management (concerning 10 and 32).
Transmission media and protocol
For the teleradiology system of the invention, the preferred transmission media (i.e., network 200) may be an intranet, the internet (including the internet2) or via a direct dial-up using a telephone line with a modem. The preferred data transmission protocol (for components 16, 26, 20, 22) is the standard TCP/IP. Furthermore, for some transmission media (e.g., the internet2), user 400 can control certain aspects (e.g., the priority level, the speed) of data transmission by selecting transmission parameters via user interface 32. These should be well known to one with ordinary skill in the network communication field.
Data compression/decompression
Data compression is a technique for densely packaging the data to be transmitted to efficiently utilize a given bandwidth of network 200 during transmission. This operation is done by data compressor 14 on transmitting station 100. After transmission of compressed data to receiving station 300, data decompressor 28 restores the compressed data in a format ready to be used. The data compressor 14 and decompressor 28 can be implemented either on dedicated processors for improved response speed or on general propose processors for wide applicability. The wavelet compression/decompression—the de facto standard for data compression—is used on the teleradiology system of the invention as a preferred method. (For technical details on data compression in general and wavelet compression in particular, reference may be made to the book “Wavelets and Subband Coding” by Martin Vetterli and Jelena Kovacevic, published by Prentice Hall, 1995.) Specifically, in one embodiment, user 400 can select data compression and transmission parameters via user interface 32. In another embodiment, these selections are done automatically by the teleradiology system based on the system configuration and the data to be transmitted. For example, the compression method selected can be lossless (i.e., the compressed data can be fully restored) or lossy (i.e., the compressed data can only be partially restored). The attainable data compression ratio is about 3:1 for lossless compression and much higher for lossy compression. The data compression ratio represents a tradeoff of preserving image fidelity (with less compression) versus increasing transmission speed (with more compression). Furthermore, transmitted images can also be refined progressively. Due to medical and legal considerations, the teleradiology system of the invention provides lossless and virtually lossless compressions to avoid misdiagnosis. It also provides progressive refinement for improved interactivity. The image compression/decompression techniques used for the teleradiology system of the invention are similar to that for existing teleradiology systems (i.e., 14A, 28A and 32A in FIG. 2).
Medical image data source and management
The teleradiology system of the invention may be readily integrated with medical image data source 10. In particular, medical image data are stored in the Digital Imaging COmmunications in Medicine (DICOM) standards. (For details on DICOM, refer to Digital Imaging Communication in Medicine, Version 3.1. Rosslyn, Va.: National Electrical Manufacturers Association (NEMA) Standards Publication No. 300-1997, 1997.) DICOM is a hierarchical approach to the storage and communication of medical image data. The patient is the top level of this hierarchy. A patient makes visits to a medical service provider, who performs studies concerning this patient. Studies concerning a given patient are composed of study components (e.g., physician's notes concerning the patient, patient identification information, administrative data) and series. Series are in turn composed of radiological images and other related diagnostic information concerning these images. With appropriate access privileges and via user interface 32, the teleradiology system of the invention is able to search image data source 10 on the basis of a patient, a study, a series, or some combination thereof. It is able to save the studies on receiving station 300 and/or transmitting station 100 for future viewing. Furthermore, it is able to capture the consultation messages. In terms of integration with image data source and patient data management, the teleradiology system of the invention is similar to existing teleradiology systems.
Data security and management
Another medical and legal concern of a teleradiology system is its ability to protect patient privacy and data security. Data security 34 includes the security measures for authentication (i.e., proof of identity), access control, confidentiality, and data integrity. (For detailed technical descriptions on data security, reference may be made to the International Organization for Standardization (ISO) security architecture defined in section 5 of ISO/IEC 7498-2, 1989.) As a minimum requirement for the teleradiology system of the invention, name and password are required to identify the authorized user 400 via user interface 32. Access privileges to the teleradiology system in general and to transmitting station 100 in particular are user specific. An audit trail of system resource usage, patient information access, etc. is provided. Encryption of demographics is employed. Firewalls are installed for Internet connections. Data security measures for the teleradiology system of the invention are similar to that for current teleradiology systems (refer to 34A and 32A in FIG. 2).
With the above descriptions on data compression/decompression, data security measures, integration with data source and data management, transmission media and protocols, implementing the data transmission aspects of the teleradiology system of the invention should be clear to one with ordinary skill in the field.
New functionalities and capabilities
On-demand rendering/transmission control and Rendering remotely located volume data
The teleradiology system of the invention (FIG. 1) integrates the functionality of data transmission of current teleradiology systems and volume data rendering/visualization of current volume data rendering/visualization systems. In comparison, the current two-step approach discussed in the Background of the Invention simply installs an existing teleradiology system (i.e., receiving station 300A in FIG. 2) and an existing volume data rendering/visualization system on one computer. The teleradiology system of the invention, by true integration, provides new functionalities for on-demand rendering and transmission control and new capabilities for rendering and studying remotely located volume data. In comparison, these functionality and capability do not exist in the current two-step approach, i.e., via a simple combination.
With these new functionalities and capabilities, user 400 can navigate through a remotely located volume data set, interactively define and adjust the rendering method and parameters, control what is to be rendered, transmitted and visualized next, and eventually obtain the final rendering result. Thus, user 400 can render and visualize a remotely located volume data set without transmitting the entire volume data set to the user's local computer.
It is to be noted that though medical volume data sets are typically large in size (e.g., 150 MB for a CT Angiography study), in many cases, the user may want to review intermediate and final rendering results only, which are usually much smaller (e.g., of a order of 1 MB) in size. Thus, compared to the current two-step approach, the teleradiology system of the invention greatly alleviates network speed limitations. Furthermore, it eliminates the long initial delay associated with transmitting a large data set over a network, and therefore rendering and visualization can be started almost immediately. It also avoids the problem of generating multiple copies of the data at different locations, which is often desirable for patient data management. With the teleradiology system of the invention, the healthcare providers can further expand the geographic and/or time coverage of their service, resulting in improved healthcare service quality, delivery time, and patient data management, as well as reduced cost.
Different divisions of the rendering generation task
As a preferred embodiment of the invention, the teleradiology system generates the data rendering result exclusively on transmitting station 100, and then transmits the rendering result to receiving station 300. Thus, the hardware (e.g., memory, storage, and computation) demanding operations (e.g., the volume rendering operation) can be performed exclusively on transmitting station 100. This embodiment allows a full utilization of the computer hardware capability at transmitting station 100, and therefore minimizes the hardware requirements on receiving station 300. As a result, users can perform advanced volume data rendering and visualization even with the most basic local computers as receiving stations 300.
In another embodiment of the invention, transmitting station 100 only does a partial computation (e.g., generating a surface rendering model). Central processing system 24 on receiving station 300 completes the remaining part of the computation based on the partial computation done by transmitting station 100, and displays the final rendering result on user interface 32 via display system 30. This embodiment may sometimes further reduce the network load by performing some computations on the user's local computer.
Client-server Software Structure
The teleradiology system of the invention uses client-server design architecture. (For technical details on client-server systems, refer to Dewire DT. Client/Server Computing. McGraw-Hill, 1993.) As a result, software of this system can be installed, maintained, and upgraded on one station, referred to as the software server, while the other station is referred to as the software client. In a preferred embodiment, transmitting station 100 acts as the software server and receiving station 300 as the software client. The software for the software client can be supplied by the software server via network 200 at each time of use. Alternatively, it can be installed on the software client once and for future use. In the latter case, the software client is notified, via network 200, when a software upgrade is available. The client-server software implementation greatly reduces the cost of licensing as well as installing, maintaining, and upgrading software on each software client. The system of the invention also can charge the use of the system on either per license basis, per use basis, or other basis.
Web browser based client software
As a preferred embodiment, the software to be run at receiving station 300 is developed based on standard Web browsers (e.g., Microsoft Explorer or Netscape Navigator). Specifically, the software for receiving station 300 can be a “plug-in” of the Web browser, which is installed once and is an integral part of the Web browser on receiving station 300. Alternatively, the software for receiving station 300 can be a Java applet, which is a program sent from transmitting station 100 each time the program is used. (For technical details on Java applet, refer to Horstmann C S, Cornell G. Core Java, Vol 1: Fundamentals. Sun Microsystems, 1998.) Using Web browser based software makes volume data rendering/visualization software available to any authorized user with a networked computer. Using Java based software makes it work on commonly used operation platforms (e.g., Unix and PC).
The client-server implementation and Web browser based implementation make the proposed system very accessible. Any authorized user can perform advanced volume data rendering and visualization tasks from the user's preferred location using a networked computer. As an example, a user can perform advanced volume data rendering and visualization tasks even with the most basic local computers (e.g., the user's desktop computer) and even without the current volume data rendering/visualization software installed on the user's computer.
Interconnection of multiple receiving/transmitting stations
Though only one receiving station 300 and one transmitting station 100 are shown in FIG. 1, multiple receiving stations 300 can be connected to a transmitting station 100 and multiple transmitting stations 100 may be connected to a receiving station 300. Multiple receiving stations 300 can operate individually, i.e., without interfering with each other. Alternatively and as a special mode, some receiving stations may also operate in a collaborative (conference) mode so that the user input at, and the display on, one receiving station can be viewed by multiple receiving stations as a group. Furthermore, multiple computers may be used to collectively serve the function of one transmitting station 100.
Healthcare enterprise-wide image distribution solution for images, information/data repository, and the electronic medical record
Because it is extremely cost-effective, ubiquitously accessible, provides acceptable data security protection and data management, and significantly relaxes requirements on network as well as the user's local computer (software and hardware), the teleradiology system of the invention is well suited as a healthcare enterprise-wide image distribution solution. Furthermore, it can serve as an enterprise-wide PACS (Picture Archiving Communication System) and can be readily integrated with other PACS and image distribution systems.
By greatly reducing the cost and drastically improving the accessibility of image distribution, the teleradiology system of the invention is a preferred image distribution method for medical image data, for medical information/data repository, and for the electronic medical record (or computerized patient record). Thus, it may be used in settings where the patient data contains not only image data but also other data (e.g ECG) and information (e.g., notes on patient medical history).
Integration and display of multiple rendering results
The teleradiology system of the invention can be used for rendering and visualizing multiple images resulted from different rendering methods and parameters, from different data sets (regardless of whether they are locally or remotely located), and/or different image data acquisition methods (e.g. CT, MR, US). The rendering methods include volume data rendering as well as conventional 2D image rendering. The multiple displays may be updated individually or simultaneously. For example, images of axial, sagittal and coronal multiplaner reformation containing cursor position may be displayed and updated simultaneously as the cursor moves. Furthermore, maximum intensity projection, volume rendering, and/or, surface rendering results may be individually or simultaneously displayed and/or updated with axial, sagittal and/or coronal images. In addition, results from different studies, be it from one or multiple image data acquisition method, can be individually or simultaneously displayed and/or updated for comparison. The different rendering results from different rendering methods, different rendering parameters, different data sets, and/or different image data acquisition methods can be further combined to form one or multiple composite images.
Operation modes and their selections
The system may have many different operation modes. Examples of different operation modes that have been discussed in previous sections include the different divisions of the rendering generation task between receiving station 300 and transmitting station 100, different data compression/decompression operations with different data compression ratios, different data transmission modes for network 200. In general, the different operation modes also require different software configurations. As exemplified in previous discussions, the different operation modes may be selected either by user 400 via user interface 32, or by one or more automated computer program. Using software configurations as an example, the selection of software configurations can be accomplished with user intervention. Alternatively, software can automatically adjust its configuration based on, for example, the configuration of the teleradiology system (network and transmitting/receiving stations) as well as the data rendering task. For example, if the software detects that receiving station 300 has very basic hardware resources (in terms of memory, storage, and/or computation power) for the data rendering task, it automatically uses the software that performs data rendering exclusively on transmitting station 100.
Other embodiments
Although in a preferred embodiment image data source 10 is accessed via transmitting station 100 and transmitting station 100 also acts as the software server, this invention also includes other embodiments. For example, in one embodiment image data source 10 is accessed via transmitting station 100, but receiving station 300 acts as the software server instead. In this case, transmitting station 100 will use the volume data rendering software provided by receiving station 300 via network 200 to generate the rendering result, partially or completely, on transmitting station 100. In another embodiment, transmitting station 100 acts as the software server, but image data source 10 is located proximate to, and accessed via, receiving station 300 instead. In this case, receiving station 300 will use the volume data rendering/visualization software provided by transmitting station 100 via network 200 to generate, completely on receiving station 300, the rendering result.
Obviously, many other modifications and variations of the present invention are possible in light of the above teachings. It is therefore to be understood that within the scope of the disclosed concept, the invention may be practiced otherwise than as specifically described.

Claims (20)

1. A post-processing system for remotely accessing patient information and data previously acquired and electronically stored, and for remotely generating a volume data rendering result, comprising:
at least one receiving station controllable by at least one user of said system;
at least one transmitting station physically separated from said receiving station for communicatively coupling to said receiving station through at least one network;
user interface means provided at said receiving station for enabling a user to specify at least one patient volume data set previously acquired and stored in said transmitting station, and to specify at least one request for volume data rendering comprising specifying a volume data rendering method and rendering parameters to be applied on said volume data set;
an image processor at said transmitting station interactively controllable at said receiving station to generate a partial or complete volume data rendering result in real time by processing said volume data set using said volume data rendering method and rendering parameters specified by said user;
a data transmitter provided at said transmitting station for transmitting said processed result to said receiving station; and
display means for displaying the requested rendering result and rendering parameters at said receiving station,
wherein said user interface means comprises means for enabling said user to specify different data rendering requests resulting from different rendering parameters, different rendering methods, and/or different data sets from one or multiple data acquisition methods, and to specify a method to integrate said different data rendering requests into at least one composite rendering result; and
wherein said display means for displaying comprises means for displaying said composite rendering result and a plurality of parameters used for generating said composite rendering result.
2. The system of claim 1 further including:
security and data management means for preventing an unauthorized user from gaining access to said data set from said system.
3. The system of claim 2 wherein:
said security and data management means further include means for employing firewalls during the data transmission and/or for encrypting demographic of said data set.
4. The system of claim 1 further including:
Means included in said transmitting station for compressing data to be transmitted;
means for transmitting said compressed data from said transmitting station to said receiving station through said network; and
means included in said receiving station for decompressing said transmitted data.
5. The system of claim 4 wherein:
said compressing means and decompressing means are operable in accordance with each of a plurality of compression/decompression methods, the particular method used being alternatively selected by said user through said user interface, or by an automated computer program.
6. The system of claim 1 wherein:
said receiving station includes means for computing the remaining part of said rendering result.
7. The system of claim 1 wherein:
said system's software is installed, managed and upgraded at one of said stations, the software for the other station being alternatively supplied at each time of use over said network or on a permanent basis.
8. The system of claim 1 further including:
management and software distribution means included in said system for charging the use of said system alternatively on per license basis or on per use basis.
9. The system of claim 1 wherein:
said system has a plurality of operation modes, the particular operation mode used being alternatively selected by said user through said user interface, or by an automated computer program.
10. The system of claim 1 wherein:
said receiving station is provided with software which is usable with a web browser.
11. The system of claim 1 wherein:
said receiving stations comprises one of multiple receiving stations interconnected by said network so that the input and the display at one of said receiving stations can be viewed by other of said receiving stations.
12. The system of claim 1 further including:
data transmission means for transmitting images with progressive refinement.
13. The system of claim 1 wherein:
said user interface means includes image processing tools and data editing tools for editing said data set.
14. The system of claim 1 wherein:
the data transmission is controlled by the transmission parameters, said transmission parameters being alternatively selected by said user through said user interface, or by an automated program.
15. The system of claim 1 wherein:
said user interface means comprises means for enabling said user to specify different data rendering requests resulting from different rendering parameters, different rendering methods, and/or different data sets from one or multiple data acquisition methods, and
to specify a method to integrate said different data rendering results into at least one composite rendering result; and
said display means for presenting at said receiving station said composite rendering result and a plurality of parameters used for generating said composite rendering result.
16. The system of claim 1, wherein said display means, user interface means and image processor are configured for enabling said user to interactively view said displayed requested rendering result and parameters and specify adjusted volume data rendering methods and parameters to generate updated rendering results.
17. The system of claim 1, wherein said transmitting station and said image processor are couplable to a plurality of receiving stations for serving multiple receiving stations concurrently.
18. The system of claim 1, wherein said transmitting station is implemented with a plurality of computers.
19. A method for locally generating a volume data rendering result in accordance with a remote request for processing of previously acquired and locally stored patient information and data, comprising:
locally storing at least one patient volume data set;
locally receiving an identification of at least one specified patient volume data set and at least one request for volume data rendering from a remote user, the request for volume data rendering comprising a volume data rendering method and rendering parameters to be applied on said specified patient volume data set;
locally generating, using a processor-based system, a partial or complete volume data rendering result in real time by processing said specified patient volume data set using said volume data rendering method and rendering parameters received from said remote user; and
locally transmitting said processed result for remotely displaying said requested rendering result and said rendering parameters;
locally receiving new requests for volume data rendering interactively issued by said remote user based on feedback from said displayed requested rendering result and said rendering parameters, said new requests comprising an adjusted volume data rendering method and adjusted rendering parameters;
locally generating, using the processor-based system, an updated partial or complete volume data rendering result in real time by processing said specified patient volume data set using said adjusted volume data rendering method and adjusted rendering parameters; and
repeating said new requests for volume data rendering and said generation of said updated partial or complete volume data rendering result until a desired rendering result is achieved.
20. The method of claim 19, further comprising:
locally receiving new requests for volume data rendering interactively issued by said remote user based on feedback from said displayed requested rendering result and said rendering parameters, said new requests comprising an adjusted volume data rendering method and adjusted rendering parameters;
locally generating an updated partial or complete volume data rendering result in real time by processing said specified patient volume data set using said adjusted volume data rendering method and adjusted rendering parameters; and
repeating said new requests for volume data rendering and said generation of said updated partial or complete volume data rendering result until a desired rendering result is achieved.
US11/229,452 1999-11-05 2005-09-16 Teleradiology systems for rendering and visualizing remotely-located volume data sets Expired - Lifetime USRE42952E1 (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
USRE44336E1 (en) 1999-11-05 2013-07-02 Vital Images, Inc. Teleradiology systems for rendering and visualizing remotely-located volume data sets
US9561019B2 (en) 2012-03-07 2017-02-07 Ziteo, Inc. Methods and systems for tracking and guiding sensors and instruments
US9904767B2 (en) 2013-09-25 2018-02-27 Samsung Electronics Co., Ltd. Method and apparatus for setting imaging environment by using signals transmitted by plurality of clients
US10617401B2 (en) 2014-11-14 2020-04-14 Ziteo, Inc. Systems for localization of targets inside a body
US11439358B2 (en) 2019-04-09 2022-09-13 Ziteo, Inc. Methods and systems for high performance and versatile molecular imaging

Families Citing this family (73)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19835215C2 (en) * 1998-08-05 2000-07-27 Mannesmann Vdo Ag Combination instrument
US7505614B1 (en) * 2000-04-03 2009-03-17 Carl Zeiss Microimaging Ais, Inc. Remote interpretation of medical images
US20020064302A1 (en) * 2000-04-10 2002-05-30 Massengill R. Kemp Virtual cosmetic autosurgery via telemedicine
AUPQ772300A0 (en) * 2000-05-24 2000-06-15 Canon Kabushiki Kaisha Highly pipelined printing system architecture
US7331925B2 (en) * 2000-07-21 2008-02-19 Verathon, Inc. System for remote evaluation of ultrasound information obtained by a programmed application-specific data collection device
JP2002058017A (en) * 2000-08-10 2002-02-22 Nidek Co Ltd Image-distributing device
US7039723B2 (en) * 2001-08-31 2006-05-02 Hinnovation, Inc. On-line image processing and communication system
US20030105650A1 (en) * 2001-10-24 2003-06-05 Lombardo Joseph S. Cooperative planning system and method
JP4056918B2 (en) * 2003-04-03 2008-03-05 ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー Image generation program generation method, image generation program provision device, and image generation program provision system
US20040240752A1 (en) * 2003-05-13 2004-12-02 Dobbs Andrew Bruno Method and system for remote and adaptive visualization of graphical image data
US20050021377A1 (en) * 2003-05-13 2005-01-27 Dobbs Andrew Bruno Method and system for direct and persistent access to digital medical data
US20050251006A1 (en) * 2004-04-15 2005-11-10 Dellis Charles J Method and system for remote post-processing of medical image information
US7492970B2 (en) * 2004-05-12 2009-02-17 Terarecon, Inc. Reporting system in a networked environment
WO2006017198A2 (en) * 2004-07-08 2006-02-16 Actuality Systems, Inc. Architecture for rendering graphics on output devices
US20060026040A1 (en) * 2004-07-28 2006-02-02 Reeves Anthony P System and method for providing remote analysis of medical data
US7693729B2 (en) * 2004-07-28 2010-04-06 Cornell Research Foundation, Inc. System and method for conducting a clinical trial study
US20060059145A1 (en) * 2004-09-02 2006-03-16 Claudia Henschke System and method for analyzing medical data to determine diagnosis and treatment
US20090083075A1 (en) * 2004-09-02 2009-03-26 Cornell University System and method for analyzing medical data to determine diagnosis and treatment
FI20045386A0 (en) * 2004-10-13 2004-10-13 Onesys Oy The method produces medical content, a medical communication system, a terminal, and a computer software product
US7885440B2 (en) 2004-11-04 2011-02-08 Dr Systems, Inc. Systems and methods for interleaving series of medical images
US7970625B2 (en) 2004-11-04 2011-06-28 Dr Systems, Inc. Systems and methods for retrieval of medical data
US7787672B2 (en) 2004-11-04 2010-08-31 Dr Systems, Inc. Systems and methods for matching, naming, and displaying medical images
US7660488B2 (en) 2004-11-04 2010-02-09 Dr Systems, Inc. Systems and methods for viewing medical images
US7920152B2 (en) 2004-11-04 2011-04-05 Dr Systems, Inc. Systems and methods for viewing medical 3D imaging volumes
US20060168338A1 (en) * 2004-11-23 2006-07-27 Bruegl Aaron R Methods and systems for providing data across a network
US8140350B2 (en) * 2005-02-22 2012-03-20 Medimaging Tools, Llc System and method for integrating ancillary data in DICOM image files
US8489410B2 (en) 2005-02-22 2013-07-16 Medimaging Tools, Llc System and method for modifying and routing DICOM examination files
US7729928B2 (en) 2005-02-25 2010-06-01 Virtual Radiologic Corporation Multiple resource planning system
US8195481B2 (en) 2005-02-25 2012-06-05 Virtual Radiologic Corporaton Teleradiology image processing system
US8145503B2 (en) 2005-02-25 2012-03-27 Virtual Radiologic Corporation Medical image metadata processing
US8229761B2 (en) 2005-02-25 2012-07-24 Virtual Radiologic Corporation Enhanced multiple resource planning and forecasting
US7961935B2 (en) * 2005-05-10 2011-06-14 Howerton Jr William Bruce Method for forming and distributing a composite file including a dental image and associated diagnosis
US7333107B2 (en) * 2005-08-18 2008-02-19 Voxar Limited Volume rendering apparatus and process
US7483939B2 (en) * 2005-08-25 2009-01-27 General Electric Company Medical processing system allocating resources for processing 3D to form 2D image data based on report of monitor data
US7518619B2 (en) * 2005-11-07 2009-04-14 General Electric Company Method and apparatus for integrating three-dimensional and two-dimensional monitors with medical diagnostic imaging workstations
US7890573B2 (en) * 2005-11-18 2011-02-15 Toshiba Medical Visualization Systems Europe, Limited Server-client architecture in medical imaging
US7870284B2 (en) * 2005-12-29 2011-01-11 Cytyc Corporation Scalable architecture for maximizing slide throughput
US20070192138A1 (en) * 2006-02-16 2007-08-16 Motoaki Saito Medical record system in a wide-area network environment
US10468125B1 (en) 2006-03-02 2019-11-05 Emerge Clinical Solutions, LLC System and method for diagnosis and treatment of cardiac episodes
US7756326B2 (en) 2006-05-04 2010-07-13 Howerton Jr William Bruce Method for forming and distributing a composite file including a dental image and associated diagnosis
US20080021877A1 (en) * 2006-07-20 2008-01-24 Terarecon, Inc. Medical image processing system in a wide-area network environment
US8179396B2 (en) * 2006-08-02 2012-05-15 General Electric Company System and methods for rule-based volume rendition and navigation
US8238678B2 (en) * 2006-08-30 2012-08-07 Siemens Medical Solutions Usa, Inc. Providing representative image information
US7953614B1 (en) 2006-11-22 2011-05-31 Dr Systems, Inc. Smart placement rules
US8244021B2 (en) * 2006-12-20 2012-08-14 Ventana Medical Systems, Inc. Quantitative, multispectral image analysis of tissue specimens stained with quantum dots
CN101626722B (en) * 2007-03-07 2012-06-06 皇家飞利浦电子股份有限公司 Customizing diagnostic codes and descriptions for an ecg management system
DE102007044599A1 (en) * 2007-09-19 2009-04-02 Siemens Ag A method of providing image objects in a medical image information system and medical image information system
US8286090B2 (en) * 2007-10-22 2012-10-09 General Electric Company Systems and methods for displaying and visualizing information
US8636670B2 (en) 2008-05-13 2014-01-28 The Invention Science Fund I, Llc Circulatory monitoring systems and methods
US20090287120A1 (en) 2007-12-18 2009-11-19 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Circulatory monitoring systems and methods
US9717896B2 (en) 2007-12-18 2017-08-01 Gearbox, Llc Treatment indications informed by a priori implant information
US20090290773A1 (en) * 2008-05-21 2009-11-26 Varian Medical Systems, Inc. Apparatus and Method to Facilitate User-Modified Rendering of an Object Image
US8125331B2 (en) * 2008-08-27 2012-02-28 The Invention Science Fund I, Llc Health-related signaling via wearable items
US8094009B2 (en) * 2008-08-27 2012-01-10 The Invention Science Fund I, Llc Health-related signaling via wearable items
US8130095B2 (en) * 2008-08-27 2012-03-06 The Invention Science Fund I, Llc Health-related signaling via wearable items
US8284046B2 (en) 2008-08-27 2012-10-09 The Invention Science Fund I, Llc Health-related signaling via wearable items
US20100055657A1 (en) * 2008-08-27 2010-03-04 Warren Goble Radiographic and ultrasound simulators
US8380533B2 (en) 2008-11-19 2013-02-19 DR Systems Inc. System and method of providing dynamic and customizable medical examination forms
US10726955B2 (en) 2009-05-28 2020-07-28 Ai Visualize, Inc. Method and system for fast access to advanced visualization of medical scans using a dedicated web portal
US8701167B2 (en) 2009-05-28 2014-04-15 Kjaya, Llc Method and system for fast access to advanced visualization of medical scans using a dedicated web portal
US8712120B1 (en) 2009-09-28 2014-04-29 Dr Systems, Inc. Rules-based approach to transferring and/or viewing medical images
US20110189638A1 (en) * 2010-02-03 2011-08-04 ImplementHIT System and method for learning assessment
US8571280B2 (en) * 2010-02-22 2013-10-29 Canon Kabushiki Kaisha Transmission of medical image data
US9401047B2 (en) * 2010-04-15 2016-07-26 Siemens Medical Solutions, Usa, Inc. Enhanced visualization of medical image data
US9092727B1 (en) 2011-08-11 2015-07-28 D.R. Systems, Inc. Exam type mapping
US10446266B1 (en) * 2011-10-03 2019-10-15 Emerge Clinical Solutions, LLC System and method for optimizing nuclear imaging appropriateness decisions
US9471747B2 (en) 2012-01-06 2016-10-18 Upmc Apparatus and method for viewing medical information
US9495604B1 (en) 2013-01-09 2016-11-15 D.R. Systems, Inc. Intelligent management of computerized advanced processing
CN103062031A (en) * 2013-01-23 2013-04-24 阜新金昊空压机有限公司 IOT (internet of things) compressor controlling system
WO2014125315A1 (en) * 2013-02-15 2014-08-21 B-K Medical Aps Ultrasound display
CN104728093A (en) * 2015-04-08 2015-06-24 肖清雄 Air-compressor set intelligent control system based on internet of things
CN104754309A (en) * 2015-04-08 2015-07-01 安徽省星灵信息科技有限公司 Mobile medical image system
US20170039321A1 (en) 2015-04-30 2017-02-09 D.R. Systems, Inc. Database systems and interactive user interfaces for dynamic interaction with, and sorting of, digital medical image data

Citations (145)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4222076A (en) 1978-09-15 1980-09-09 Bell Telephone Laboratories, Incorporated Progressive image transmission
US4475104A (en) 1983-01-17 1984-10-02 Lexidata Corporation Three-dimensional display system
US4625289A (en) 1985-01-09 1986-11-25 Evans & Sutherland Computer Corp. Computer graphics system of general surface rendering by exhaustive sampling
US4737921A (en) 1985-06-03 1988-04-12 Dynamic Digital Displays, Inc. Three dimensional medical image display system
US4748511A (en) 1984-06-07 1988-05-31 Raytel Systems Corporation Teleradiology system
US4910609A (en) 1984-06-07 1990-03-20 Raytel Systems Corporation Teleradiology system
US4961425A (en) 1987-08-14 1990-10-09 Massachusetts Institute Of Technology Morphometric analysis of anatomical tomographic data
US4985856A (en) 1988-11-10 1991-01-15 The Research Foundation Of State University Of New York Method and apparatus for storing, accessing, and processing voxel-based data
US4987554A (en) 1988-08-24 1991-01-22 The Research Foundation Of State University Of New York Method of converting continuous three-dimensional geometrical representations of polygonal objects into discrete three-dimensional voxel-based representations thereof within a three-dimensional voxel-based system
US5005126A (en) 1987-04-09 1991-04-02 Prevail, Inc. System and method for remote presentation of diagnostic image information
US5027110A (en) 1988-12-05 1991-06-25 At&T Bell Laboratories Arrangement for simultaneously displaying on one or more display terminals a series of images
US5038302A (en) 1988-07-26 1991-08-06 The Research Foundation Of State University Of New York Method of converting continuous three-dimensional geometrical representations into discrete three-dimensional voxel-based representations within a three-dimensional voxel-based system
US5101475A (en) 1989-04-17 1992-03-31 The Research Foundation Of State University Of New York Method and apparatus for generating arbitrary projections of three-dimensional voxel-based data
US5235510A (en) 1990-11-22 1993-08-10 Kabushiki Kaisha Toshiba Computer-aided diagnosis system for medical use
US5291401A (en) 1991-11-15 1994-03-01 Telescan, Limited Teleradiology system
US5297034A (en) 1987-04-30 1994-03-22 Corabi International Telemetrics, Inc. Telepathology diagnostic network
US5321520A (en) 1992-07-20 1994-06-14 Automated Medical Access Corporation Automated high definition/resolution image storage, retrieval and transmission system
US5339812A (en) 1988-12-23 1994-08-23 Medical Instrumentation And Diagnostic Corporation Three-dimensional computer graphics simulation and computerized numerical optimization for dose delivery and treatment planning
US5360971A (en) 1992-03-31 1994-11-01 The Research Foundation State University Of New York Apparatus and method for eye tracking interface
US5408249A (en) 1993-11-24 1995-04-18 Radiation Measurements, Inc. Bit extension adapter for computer graphics
US5432871A (en) 1993-08-04 1995-07-11 Universal Systems & Technology, Inc. Systems and methods for interactive image data acquisition and compression
US5442733A (en) 1992-03-20 1995-08-15 The Research Foundation Of State University Of New York Method and apparatus for generating realistic images using a discrete representation
US5441047A (en) 1992-03-25 1995-08-15 David; Daniel Ambulatory patient health monitoring techniques utilizing interactive visual communication
US5448686A (en) 1992-01-02 1995-09-05 International Business Machines Corporation Multi-resolution graphic representation employing at least one simplified model for interactive visualization applications
US5469353A (en) 1993-11-26 1995-11-21 Access Radiology Corp. Radiological image interpretation apparatus and method
US5482043A (en) 1994-05-11 1996-01-09 Zulauf; David R. P. Method and apparatus for telefluoroscopy
US5490221A (en) 1990-10-02 1996-02-06 The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration Digital data registration and differencing compression system
US5497435A (en) 1993-02-07 1996-03-05 Image Compression Technology Ltd. Apparatus and method for encoding and decoding digital signals
US5517021A (en) 1993-01-19 1996-05-14 The Research Foundation State University Of New York Apparatus and method for eye tracking interface
US5544283A (en) 1993-07-26 1996-08-06 The Research Foundation Of State University Of New York Method and apparatus for real-time volume rendering from an arbitrary viewing direction
US5590271A (en) * 1993-05-21 1996-12-31 Digital Equipment Corporation Interactive visualization environment with improved visual programming interface
US5594935A (en) 1995-02-23 1997-01-14 Motorola, Inc. Interactive image display system of wide angle images comprising an accounting system
US5594842A (en) 1994-09-06 1997-01-14 The Research Foundation Of State University Of New York Apparatus and method for real-time volume visualization
US5596994A (en) 1993-08-30 1997-01-28 Bro; William L. Automated and interactive behavioral and medical guidance system
US5600574A (en) 1994-05-13 1997-02-04 Minnesota Mining And Manufacturing Company Automated image quality control
US5603323A (en) 1996-02-27 1997-02-18 Advanced Technology Laboratories, Inc. Medical ultrasonic diagnostic system with upgradeable transducer probes and other features
US5644645A (en) 1993-08-20 1997-07-01 Nec Corporation Fingerprint image transmission system utilizing reversible and non-reversible data compression coding techniques
US5649173A (en) 1995-03-06 1997-07-15 Seiko Epson Corporation Hardware architecture for image generation and manipulation
US5660176A (en) 1993-12-29 1997-08-26 First Opinion Corporation Computerized medical diagnostic and treatment advice system
US5682328A (en) 1996-09-11 1997-10-28 Bbn Corporation Centralized computer event data logging system
US5715823A (en) 1996-02-27 1998-02-10 Atlantis Diagnostics International, L.L.C. Ultrasonic diagnostic imaging system with universal access to diagnostic information and images
US5730146A (en) 1991-08-01 1998-03-24 Itil; Turan M. Transmitting, analyzing and reporting EEG data
US5740267A (en) 1992-05-29 1998-04-14 Echerer; Scott J. Radiographic image enhancement comparison and storage requirement reduction system
US5755577A (en) 1995-03-29 1998-05-26 Gillio; Robert G. Apparatus and method for recording data of a surgical procedure
US5760781A (en) 1994-09-06 1998-06-02 The Research Foundation Of State University Of New York Apparatus and method for real-time volume visualization
US5805118A (en) 1995-12-22 1998-09-08 Research Foundation Of The State Of New York Display protocol specification with session configuration and multiple monitors
US5838906A (en) * 1994-10-17 1998-11-17 The Regents Of The University Of California Distributed hypermedia method for automatically invoking external application providing interaction and display of embedded objects within a hypermedia document
US5836877A (en) 1997-02-24 1998-11-17 Lucid Inc System for facilitating pathological examination of a lesion in tissue
US5883976A (en) 1994-12-28 1999-03-16 Canon Kabushiki Kaisha Selectively utilizing multiple encoding methods
EP0903694A1 (en) 1997-08-01 1999-03-24 Mitsubishi Denki Kabushiki Kaisha Real-time PC based volume rendering system
US5903775A (en) 1996-06-06 1999-05-11 International Business Machines Corporation Method for the sequential transmission of compressed video information at varying data rates
US5917929A (en) 1996-07-23 1999-06-29 R2 Technology, Inc. User interface for computer aided diagnosis system
US5941945A (en) 1997-06-18 1999-08-24 International Business Machines Corporation Interest-based collaborative framework
US5971767A (en) 1996-09-16 1999-10-26 The Research Foundation Of State University Of New York System and method for performing a three-dimensional virtual examination
US5974446A (en) 1996-10-24 1999-10-26 Academy Of Applied Science Internet based distance learning system for communicating between server and clients wherein clients communicate with each other or with teacher using different communication techniques via common user interface
US5986662A (en) 1996-10-16 1999-11-16 Vital Images, Inc. Advanced diagnostic viewer employing automated protocol selection for volume-rendered imaging
US5987345A (en) 1996-11-29 1999-11-16 Arch Development Corporation Method and system for displaying medical images
US6028608A (en) 1997-05-09 2000-02-22 Jenkins; Barry System and method of perception-based image generation and encoding
EP1001377A2 (en) 1998-11-12 2000-05-17 Mitsubishi Denki Kabushiki Kaisha Two-level mini-block storage system for volume data sets
EP1001375A2 (en) 1998-11-12 2000-05-17 Mitsubishi Denki Kabushiki Kaisha Pipelined cropping for manipulating volume data sets in real-time
EP1001369A2 (en) 1998-11-12 2000-05-17 Mitsubishi Denki Kabushiki Kaisha Real-time volume rendering system
EP1001379A2 (en) 1998-11-12 2000-05-17 Mitsubishi Denki Kabushiki Kaisha Incrementally calculated cut-plane region for viewing a portion of a volume data set in real-time
EP1001380A2 (en) 1998-11-12 2000-05-17 Mitsubishi Denki Kabushiki Kaisha Super-sampling and gradient estimation in a ray-casting volume rendering system
US6070195A (en) 1997-01-31 2000-05-30 Canon Kabushiki Kaisha Image display device and method, and image communication apparatus and method
US6088702A (en) 1998-02-25 2000-07-11 Plantz; Scott H. Group publishing system
US6105055A (en) 1998-03-13 2000-08-15 Siemens Corporate Research, Inc. Method and apparatus for asynchronous multimedia collaboration
EP1054385A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha State machine for controlling a voxel memory
EP1054384A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for translating and interfacing voxel memory addresses
EP1054347A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for applying modulated lighting to volume data in a rendering pipeline
EP1054348A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Volume rendering integrated circuit
EP1054359A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for modulating lighting in a rendering pipeline
EP1054355A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for illuminating volume data in a rendering pipeline
EP1054353A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Rendering a shear-warped partitioned volume data set
EP1054358A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for approximating a function
EP1054351A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for classifying intensity values of volume data using a reconfigurable look-up table
EP1054357A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method for modulating volume samples with gradient magnitude vectors and step functions
EP1054356A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for mapping reflectance while illuminating volume data in a rendering pipeline
EP1054349A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method for modulating volume samples in a rendering pipeline
EP1054383A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Memory storing voxel data interfaced to rendering pipelines
US6166732A (en) 1998-02-24 2000-12-26 Microsoft Corporation Distributed object oriented multi-user domain with multimedia presentations
EP1069530A2 (en) 1999-07-15 2001-01-17 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for classifying samples
EP1069532A2 (en) 1999-07-15 2001-01-17 Mitsubishi Denki Kabushiki Kaisha Multi-pass volume rendering pipeline
EP1069528A2 (en) 1999-07-15 2001-01-17 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for mapping samples in a rendering pipeline
EP1071041A2 (en) 1999-07-15 2001-01-24 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for generating a histogram of a volume data set
US6195340B1 (en) 1997-01-06 2001-02-27 Kabushiki Kaisha Toshiba Wireless network system and wireless communication apparatus of the same
EP1089235A2 (en) 1999-10-01 2001-04-04 Mitsubishi Denki Kabushiki Kaisha Space leaping in a parallel pipelined volume rendering system
EP1089225A2 (en) 1999-10-01 2001-04-04 Mitsubishi Denki Kabushiki Kaisha Parallel pipelined volume rendering system
EP1089234A2 (en) 1999-10-01 2001-04-04 Mitsubishi Denki Kabushiki Kaisha Parallel pipelined volume rendering system
EP1093085A2 (en) 1999-10-01 2001-04-18 Mitsubishi Denki Kabushiki Kaisha Controller for a parallel pipelined volume rendering system
US6222551B1 (en) 1999-01-13 2001-04-24 International Business Machines Corporation Methods and apparatus for providing 3D viewpoint selection in a server/client arrangement
US6230162B1 (en) 1998-06-20 2001-05-08 International Business Machines Corporation Progressive interleaved delivery of interactive descriptions and renderers for electronic publishing of merchandise
US6253228B1 (en) 1997-03-31 2001-06-26 Apple Computer, Inc. Method and apparatus for updating and synchronizing information between a client and a server
US6260021B1 (en) 1998-06-12 2001-07-10 Philips Electronics North America Corporation Computer-based medical image distribution system and method
US6272470B1 (en) 1996-09-03 2001-08-07 Kabushiki Kaisha Toshiba Electronic clinical recording system
US20010013128A1 (en) 1999-12-20 2001-08-09 Makoto Hagai Data reception/playback method, data reception/playback apparatus, data transmission method, and data transmission apparatus
US6283322B1 (en) 1995-10-18 2001-09-04 Telepharmacy Solutions, Inc. Method for controlling a drug dispensing system
US6283761B1 (en) 1992-09-08 2001-09-04 Raymond Anthony Joao Apparatus and method for processing and/or for providing healthcare information and/or healthcare-related information
US6289115B1 (en) 1998-02-20 2001-09-11 Fuji Photo Film Co., Ltd. Medical network system
US6293842B1 (en) 1999-03-09 2001-09-25 Bombardier Motor Corporation Of America Cantilever jet drive package having mounting adapter with exhaust passage
US6297799B1 (en) 1998-11-12 2001-10-02 James Knittel Three-dimensional cursor for a real-time volume rendering system
US6310620B1 (en) 1998-12-22 2001-10-30 Terarecon, Inc. Method and apparatus for volume rendering with multiple depth buffers
US20010037402A1 (en) 1998-06-25 2001-11-01 Bengt-Olaf Schneider Method and system for providing three-dimensional graphics over computer networks
US6313841B1 (en) 1998-04-13 2001-11-06 Terarecon, Inc. Parallel volume rendering system with a resampling module for parallel and perspective projections
US6331116B1 (en) 1996-09-16 2001-12-18 The Research Foundation Of State University Of New York System and method for performing a three-dimensional virtual segmentation and examination
US6344861B1 (en) 1993-05-24 2002-02-05 Sun Microsystems, Inc. Graphical user interface for displaying and manipulating objects
US6343936B1 (en) 1996-09-16 2002-02-05 The Research Foundation Of State University Of New York System and method for performing a three-dimensional virtual examination, navigation and visualization
US6362620B1 (en) 1998-11-25 2002-03-26 Ge Medical Systems Global Technology Company, Llc MR imaging system with interactive image contrast control over a network
US6369812B1 (en) 1997-11-26 2002-04-09 Philips Medical Systems, (Cleveland), Inc. Inter-active viewing system for generating virtual endoscopy studies of medical diagnostic data with a continuous sequence of spherical panoramic views and viewing the studies over networks
EP1195720A2 (en) 2000-10-04 2002-04-10 TeraRecon, Inc. Method and apparatus for Volume rendering
EP1195718A2 (en) 2000-10-04 2002-04-10 TeraRecon, Inc. Parallel pipelined image rendering system
EP1195717A2 (en) 2000-10-04 2002-04-10 TeraRecon, Inc. Controller for rendering pipelines
EP1195719A2 (en) 2000-10-04 2002-04-10 TeraRecon, Inc. Rendering memory in a volume rendering system
US6381029B1 (en) 1998-12-23 2002-04-30 Etrauma, Llc Systems and methods for remote viewing of patient images
EP1209618A1 (en) 2000-11-28 2002-05-29 TeraRecon, Inc., A Delaware Corporation Volume rendering pipeline
EP1209629A1 (en) 2000-11-28 2002-05-29 TeraRecon, Inc., A Delaware Corporation Early ray termination in a parallel pipelined volume rendering system
US20020065939A1 (en) 2000-11-30 2002-05-30 Chung Liu Method and apparatus for updating applications on a mobile device via device synchronization
US20020069400A1 (en) 1999-08-16 2002-06-06 Z-Force Corporation System for reusable software parts for supporting dynamic structures of parts and methods of use
US6407743B1 (en) 1998-10-20 2002-06-18 Microsoft Corporation System and method for morphing based on multiple weighted parameters
JP2002183746A (en) 2000-11-30 2002-06-28 Terarecon Inc Rendering method for volume data set
JP2002183747A (en) 2000-11-30 2002-06-28 Terarecon Inc Volume rendering pipeline
US6421057B1 (en) 1999-07-15 2002-07-16 Terarecon, Inc. Configurable volume rendering pipeline
US6430625B1 (en) 1996-06-28 2002-08-06 Metadigm Llc System and corresponding method for providing redundant storage of a data file over a computer network
US6434572B2 (en) * 1998-11-25 2002-08-13 Ge Medical Technology Services, Inc. Medical diagnostic system management method and apparatus
US6532017B1 (en) 1998-11-12 2003-03-11 Terarecon, Inc. Volume rendering pipeline
US20030055896A1 (en) 2001-08-31 2003-03-20 Hui Hu On-line image processing and communication system
US20030086595A1 (en) 2001-11-07 2003-05-08 Hui Hu Display parameter-dependent pre-transmission processing of image data
US20030156745A1 (en) 2001-09-11 2003-08-21 Terarecon, Inc. Image based medical report system on a network
US6615264B1 (en) 1999-04-09 2003-09-02 Sun Microsystems, Inc. Method and apparatus for remotely administered authentication and access control
US6614447B1 (en) 2000-10-04 2003-09-02 Terarecon, Inc. Method and apparatus for correcting opacity values in a rendering pipeline
US6618751B1 (en) 1999-08-20 2003-09-09 International Business Machines Corporation Systems and methods for publishing data with expiration times
US6621918B1 (en) 1999-11-05 2003-09-16 H Innovation, Inc. Teleradiology systems for rendering and visualizing remotely-located volume data sets
US6654012B1 (en) 1999-10-01 2003-11-25 Terarecon, Inc. Early ray termination in a parallel pipelined volume rendering system
US6654785B1 (en) 1998-03-02 2003-11-25 Hewlett-Packard Development Company, L.P. System for providing a synchronized display of information slides on a plurality of computer workstations over a computer network
US6674430B1 (en) 1998-07-16 2004-01-06 The Research Foundation Of State University Of New York Apparatus and method for real-time volume processing and universal 3D rendering
US6683933B2 (en) 2001-05-02 2004-01-27 Terarecon, Inc. Three-dimensional image display device in network
US6704024B2 (en) 2000-08-07 2004-03-09 Zframe, Inc. Visual content browsing using rasterized representations
US6760755B1 (en) 2000-09-22 2004-07-06 Ge Medical Systems Global Technology Company, Llc Imaging system with user-selectable prestored files for configuring communication with remote devices
US6807558B1 (en) 1995-06-12 2004-10-19 Pointcast, Inc. Utilization of information “push” technology
US6826297B2 (en) 2001-05-18 2004-11-30 Terarecon, Inc. Displaying three-dimensional medical images
US6826669B1 (en) 2001-05-08 2004-11-30 Lewiz Communications Multi-protocol memory lookup system and method
US6847365B1 (en) 2000-01-03 2005-01-25 Genesis Microchip Inc. Systems and methods for efficient processing of multimedia data
US6847462B1 (en) 1996-04-24 2005-01-25 Leica Geosystems Hds, Inc. Integrated system for quickly and accurately imaging and modeling three-dimensional objects
US6879996B1 (en) 2000-09-13 2005-04-12 Edward W. Laves Method and apparatus for displaying personal digital assistant synchronization data using primary and subordinate data fields
US6952741B1 (en) 1999-06-30 2005-10-04 Computer Sciences Corporation System and method for synchronizing copies of data in a computer system
US7062714B1 (en) 2000-07-28 2006-06-13 Ge Medical Systems Global Technology Company, Llc Imaging system having preset processing parameters adapted to user preferences

Patent Citations (174)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4222076A (en) 1978-09-15 1980-09-09 Bell Telephone Laboratories, Incorporated Progressive image transmission
US4475104A (en) 1983-01-17 1984-10-02 Lexidata Corporation Three-dimensional display system
US4748511A (en) 1984-06-07 1988-05-31 Raytel Systems Corporation Teleradiology system
US4910609A (en) 1984-06-07 1990-03-20 Raytel Systems Corporation Teleradiology system
US4625289A (en) 1985-01-09 1986-11-25 Evans & Sutherland Computer Corp. Computer graphics system of general surface rendering by exhaustive sampling
US4737921A (en) 1985-06-03 1988-04-12 Dynamic Digital Displays, Inc. Three dimensional medical image display system
US5005126A (en) 1987-04-09 1991-04-02 Prevail, Inc. System and method for remote presentation of diagnostic image information
US5297034A (en) 1987-04-30 1994-03-22 Corabi International Telemetrics, Inc. Telepathology diagnostic network
US4961425A (en) 1987-08-14 1990-10-09 Massachusetts Institute Of Technology Morphometric analysis of anatomical tomographic data
US5038302A (en) 1988-07-26 1991-08-06 The Research Foundation Of State University Of New York Method of converting continuous three-dimensional geometrical representations into discrete three-dimensional voxel-based representations within a three-dimensional voxel-based system
US4987554A (en) 1988-08-24 1991-01-22 The Research Foundation Of State University Of New York Method of converting continuous three-dimensional geometrical representations of polygonal objects into discrete three-dimensional voxel-based representations thereof within a three-dimensional voxel-based system
US4985856A (en) 1988-11-10 1991-01-15 The Research Foundation Of State University Of New York Method and apparatus for storing, accessing, and processing voxel-based data
US5027110A (en) 1988-12-05 1991-06-25 At&T Bell Laboratories Arrangement for simultaneously displaying on one or more display terminals a series of images
US5339812A (en) 1988-12-23 1994-08-23 Medical Instrumentation And Diagnostic Corporation Three-dimensional computer graphics simulation and computerized numerical optimization for dose delivery and treatment planning
US5101475A (en) 1989-04-17 1992-03-31 The Research Foundation Of State University Of New York Method and apparatus for generating arbitrary projections of three-dimensional voxel-based data
US5490221A (en) 1990-10-02 1996-02-06 The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration Digital data registration and differencing compression system
US5235510A (en) 1990-11-22 1993-08-10 Kabushiki Kaisha Toshiba Computer-aided diagnosis system for medical use
US5730146A (en) 1991-08-01 1998-03-24 Itil; Turan M. Transmitting, analyzing and reporting EEG data
US5291401A (en) 1991-11-15 1994-03-01 Telescan, Limited Teleradiology system
US5448686A (en) 1992-01-02 1995-09-05 International Business Machines Corporation Multi-resolution graphic representation employing at least one simplified model for interactive visualization applications
US5442733A (en) 1992-03-20 1995-08-15 The Research Foundation Of State University Of New York Method and apparatus for generating realistic images using a discrete representation
US5441047A (en) 1992-03-25 1995-08-15 David; Daniel Ambulatory patient health monitoring techniques utilizing interactive visual communication
US5360971A (en) 1992-03-31 1994-11-01 The Research Foundation State University Of New York Apparatus and method for eye tracking interface
US5740267A (en) 1992-05-29 1998-04-14 Echerer; Scott J. Radiographic image enhancement comparison and storage requirement reduction system
US5321520A (en) 1992-07-20 1994-06-14 Automated Medical Access Corporation Automated high definition/resolution image storage, retrieval and transmission system
US6283761B1 (en) 1992-09-08 2001-09-04 Raymond Anthony Joao Apparatus and method for processing and/or for providing healthcare information and/or healthcare-related information
US5517021A (en) 1993-01-19 1996-05-14 The Research Foundation State University Of New York Apparatus and method for eye tracking interface
US5497435A (en) 1993-02-07 1996-03-05 Image Compression Technology Ltd. Apparatus and method for encoding and decoding digital signals
US5590271A (en) * 1993-05-21 1996-12-31 Digital Equipment Corporation Interactive visualization environment with improved visual programming interface
US6344861B1 (en) 1993-05-24 2002-02-05 Sun Microsystems, Inc. Graphical user interface for displaying and manipulating objects
US5544283A (en) 1993-07-26 1996-08-06 The Research Foundation Of State University Of New York Method and apparatus for real-time volume rendering from an arbitrary viewing direction
US5432871A (en) 1993-08-04 1995-07-11 Universal Systems & Technology, Inc. Systems and methods for interactive image data acquisition and compression
US5644645A (en) 1993-08-20 1997-07-01 Nec Corporation Fingerprint image transmission system utilizing reversible and non-reversible data compression coding techniques
US5596994A (en) 1993-08-30 1997-01-28 Bro; William L. Automated and interactive behavioral and medical guidance system
US5408249A (en) 1993-11-24 1995-04-18 Radiation Measurements, Inc. Bit extension adapter for computer graphics
US5469353A (en) 1993-11-26 1995-11-21 Access Radiology Corp. Radiological image interpretation apparatus and method
US5655084A (en) 1993-11-26 1997-08-05 Access Radiology Corporation Radiological image interpretation apparatus and method
US5513101A (en) 1993-11-26 1996-04-30 Access Radiology Corporation Radiological image interpretation apparatus and method
US5660176A (en) 1993-12-29 1997-08-26 First Opinion Corporation Computerized medical diagnostic and treatment advice system
US5482043A (en) 1994-05-11 1996-01-09 Zulauf; David R. P. Method and apparatus for telefluoroscopy
US5600574A (en) 1994-05-13 1997-02-04 Minnesota Mining And Manufacturing Company Automated image quality control
US5594842A (en) 1994-09-06 1997-01-14 The Research Foundation Of State University Of New York Apparatus and method for real-time volume visualization
US5760781A (en) 1994-09-06 1998-06-02 The Research Foundation Of State University Of New York Apparatus and method for real-time volume visualization
US5847711A (en) 1994-09-06 1998-12-08 The Research Foundation Of State University Of New York Apparatus and method for parallel and perspective real-time volume visualization
US5838906A (en) * 1994-10-17 1998-11-17 The Regents Of The University Of California Distributed hypermedia method for automatically invoking external application providing interaction and display of embedded objects within a hypermedia document
US5883976A (en) 1994-12-28 1999-03-16 Canon Kabushiki Kaisha Selectively utilizing multiple encoding methods
US5594935A (en) 1995-02-23 1997-01-14 Motorola, Inc. Interactive image display system of wide angle images comprising an accounting system
US5649173A (en) 1995-03-06 1997-07-15 Seiko Epson Corporation Hardware architecture for image generation and manipulation
US5755577A (en) 1995-03-29 1998-05-26 Gillio; Robert G. Apparatus and method for recording data of a surgical procedure
US5791908A (en) 1995-03-29 1998-08-11 Gillio; Robert G. Apparatus and method for telesurgery
US5882206A (en) 1995-03-29 1999-03-16 Gillio; Robert G. Virtual surgery system
US6807558B1 (en) 1995-06-12 2004-10-19 Pointcast, Inc. Utilization of information “push” technology
US6283322B1 (en) 1995-10-18 2001-09-04 Telepharmacy Solutions, Inc. Method for controlling a drug dispensing system
US5805118A (en) 1995-12-22 1998-09-08 Research Foundation Of The State Of New York Display protocol specification with session configuration and multiple monitors
US5603323A (en) 1996-02-27 1997-02-18 Advanced Technology Laboratories, Inc. Medical ultrasonic diagnostic system with upgradeable transducer probes and other features
US5715823A (en) 1996-02-27 1998-02-10 Atlantis Diagnostics International, L.L.C. Ultrasonic diagnostic imaging system with universal access to diagnostic information and images
US6847462B1 (en) 1996-04-24 2005-01-25 Leica Geosystems Hds, Inc. Integrated system for quickly and accurately imaging and modeling three-dimensional objects
US5903775A (en) 1996-06-06 1999-05-11 International Business Machines Corporation Method for the sequential transmission of compressed video information at varying data rates
US6430625B1 (en) 1996-06-28 2002-08-06 Metadigm Llc System and corresponding method for providing redundant storage of a data file over a computer network
US5917929A (en) 1996-07-23 1999-06-29 R2 Technology, Inc. User interface for computer aided diagnosis system
US6272470B1 (en) 1996-09-03 2001-08-07 Kabushiki Kaisha Toshiba Electronic clinical recording system
US5682328A (en) 1996-09-11 1997-10-28 Bbn Corporation Centralized computer event data logging system
US6331116B1 (en) 1996-09-16 2001-12-18 The Research Foundation Of State University Of New York System and method for performing a three-dimensional virtual segmentation and examination
US5971767A (en) 1996-09-16 1999-10-26 The Research Foundation Of State University Of New York System and method for performing a three-dimensional virtual examination
US6514082B2 (en) 1996-09-16 2003-02-04 The Research Foundation Of State University Of New York System and method for performing a three-dimensional examination with collapse correction
US6343936B1 (en) 1996-09-16 2002-02-05 The Research Foundation Of State University Of New York System and method for performing a three-dimensional virtual examination, navigation and visualization
US5986662A (en) 1996-10-16 1999-11-16 Vital Images, Inc. Advanced diagnostic viewer employing automated protocol selection for volume-rendered imaging
US5974446A (en) 1996-10-24 1999-10-26 Academy Of Applied Science Internet based distance learning system for communicating between server and clients wherein clients communicate with each other or with teacher using different communication techniques via common user interface
US5987345A (en) 1996-11-29 1999-11-16 Arch Development Corporation Method and system for displaying medical images
US6195340B1 (en) 1997-01-06 2001-02-27 Kabushiki Kaisha Toshiba Wireless network system and wireless communication apparatus of the same
US6070195A (en) 1997-01-31 2000-05-30 Canon Kabushiki Kaisha Image display device and method, and image communication apparatus and method
US5836877A (en) 1997-02-24 1998-11-17 Lucid Inc System for facilitating pathological examination of a lesion in tissue
US6253228B1 (en) 1997-03-31 2001-06-26 Apple Computer, Inc. Method and apparatus for updating and synchronizing information between a client and a server
US6028608A (en) 1997-05-09 2000-02-22 Jenkins; Barry System and method of perception-based image generation and encoding
US5941945A (en) 1997-06-18 1999-08-24 International Business Machines Corporation Interest-based collaborative framework
US6243098B1 (en) 1997-08-01 2001-06-05 Terarecon, Inc. Volume rendering pipelines
EP1081652A2 (en) 1997-08-01 2001-03-07 Mitsubishi Denki Kabushiki Kaisha Volume rendering pipeline
EP1081651A2 (en) 1997-08-01 2001-03-07 Mitsubishi Denki Kabushiki Kaisha Method for rendering section of a volume data set
EP0903694A1 (en) 1997-08-01 1999-03-24 Mitsubishi Denki Kabushiki Kaisha Real-time PC based volume rendering system
US6262740B1 (en) 1997-08-01 2001-07-17 Terarecon, Inc. Method for rendering sections of a volume data set
EP1081653A2 (en) 1997-08-01 2001-03-07 Mitsubishi Denki Kabushiki Kaisha Method for rendering miniblocks of a volume data set
US6219061B1 (en) 1997-08-01 2001-04-17 Terarecon, Inc. Method for rendering mini blocks of a volume data set
US6008813A (en) 1997-08-01 1999-12-28 Mitsubishi Electric Information Technology Center America, Inc. (Ita) Real-time PC based volume rendering system
US6369812B1 (en) 1997-11-26 2002-04-09 Philips Medical Systems, (Cleveland), Inc. Inter-active viewing system for generating virtual endoscopy studies of medical diagnostic data with a continuous sequence of spherical panoramic views and viewing the studies over networks
US6289115B1 (en) 1998-02-20 2001-09-11 Fuji Photo Film Co., Ltd. Medical network system
US6166732A (en) 1998-02-24 2000-12-26 Microsoft Corporation Distributed object oriented multi-user domain with multimedia presentations
US6088702A (en) 1998-02-25 2000-07-11 Plantz; Scott H. Group publishing system
US6654785B1 (en) 1998-03-02 2003-11-25 Hewlett-Packard Development Company, L.P. System for providing a synchronized display of information slides on a plurality of computer workstations over a computer network
US6105055A (en) 1998-03-13 2000-08-15 Siemens Corporate Research, Inc. Method and apparatus for asynchronous multimedia collaboration
US6313841B1 (en) 1998-04-13 2001-11-06 Terarecon, Inc. Parallel volume rendering system with a resampling module for parallel and perspective projections
US6260021B1 (en) 1998-06-12 2001-07-10 Philips Electronics North America Corporation Computer-based medical image distribution system and method
US6230162B1 (en) 1998-06-20 2001-05-08 International Business Machines Corporation Progressive interleaved delivery of interactive descriptions and renderers for electronic publishing of merchandise
US20010037402A1 (en) 1998-06-25 2001-11-01 Bengt-Olaf Schneider Method and system for providing three-dimensional graphics over computer networks
US6674430B1 (en) 1998-07-16 2004-01-06 The Research Foundation Of State University Of New York Apparatus and method for real-time volume processing and universal 3D rendering
US6407743B1 (en) 1998-10-20 2002-06-18 Microsoft Corporation System and method for morphing based on multiple weighted parameters
EP1001369A2 (en) 1998-11-12 2000-05-17 Mitsubishi Denki Kabushiki Kaisha Real-time volume rendering system
US6512517B1 (en) 1998-11-12 2003-01-28 Terarecon, Inc. Volume rendering integrated circuit
EP1001377A2 (en) 1998-11-12 2000-05-17 Mitsubishi Denki Kabushiki Kaisha Two-level mini-block storage system for volume data sets
US6411296B1 (en) 1998-11-12 2002-06-25 Trrarecon, Inc. Method and apparatus for applying modulated lighting to volume data in a rendering pipeline
US6532017B1 (en) 1998-11-12 2003-03-11 Terarecon, Inc. Volume rendering pipeline
US6426749B1 (en) 1998-11-12 2002-07-30 Terarecon, Inc. Method and apparatus for mapping reflectance while illuminating volume data in a rendering pipeline
EP1001375A2 (en) 1998-11-12 2000-05-17 Mitsubishi Denki Kabushiki Kaisha Pipelined cropping for manipulating volume data sets in real-time
US6211884B1 (en) 1998-11-12 2001-04-03 Mitsubishi Electric Research Laboratories, Inc Incrementally calculated cut-plane region for viewing a portion of a volume data set in real-time
US6483507B2 (en) 1998-11-12 2002-11-19 Terarecon, Inc. Super-sampling and gradient estimation in a ray-casting volume rendering system
US20020005850A1 (en) 1998-11-12 2002-01-17 Terarecon, Inc. Super-sampling and gradient estimation in a ray-casting volume rendering system
US6369816B1 (en) 1998-11-12 2002-04-09 Terarecon, Inc. Method for modulating volume samples using gradient magnitudes and complex functions over a range of values
US6266733B1 (en) 1998-11-12 2001-07-24 Terarecon, Inc Two-level mini-block storage system for volume data sets
US6404429B1 (en) 1998-11-12 2002-06-11 Terarecon, Inc. Method for modulating volume samples with gradient magnitude vectors and step functions
US6297799B1 (en) 1998-11-12 2001-10-02 James Knittel Three-dimensional cursor for a real-time volume rendering system
US6356265B1 (en) 1998-11-12 2002-03-12 Terarecon, Inc. Method and apparatus for modulating lighting with gradient magnitudes of volume data in a rendering pipeline
EP1001379A2 (en) 1998-11-12 2000-05-17 Mitsubishi Denki Kabushiki Kaisha Incrementally calculated cut-plane region for viewing a portion of a volume data set in real-time
EP1001380A2 (en) 1998-11-12 2000-05-17 Mitsubishi Denki Kabushiki Kaisha Super-sampling and gradient estimation in a ray-casting volume rendering system
US6342885B1 (en) 1998-11-12 2002-01-29 Tera Recon Inc. Method and apparatus for illuminating volume data in a rendering pipeline
US6362620B1 (en) 1998-11-25 2002-03-26 Ge Medical Systems Global Technology Company, Llc MR imaging system with interactive image contrast control over a network
US6434572B2 (en) * 1998-11-25 2002-08-13 Ge Medical Technology Services, Inc. Medical diagnostic system management method and apparatus
US6310620B1 (en) 1998-12-22 2001-10-30 Terarecon, Inc. Method and apparatus for volume rendering with multiple depth buffers
US6381029B1 (en) 1998-12-23 2002-04-30 Etrauma, Llc Systems and methods for remote viewing of patient images
US6222551B1 (en) 1999-01-13 2001-04-24 International Business Machines Corporation Methods and apparatus for providing 3D viewpoint selection in a server/client arrangement
US6293842B1 (en) 1999-03-09 2001-09-25 Bombardier Motor Corporation Of America Cantilever jet drive package having mounting adapter with exhaust passage
US6615264B1 (en) 1999-04-09 2003-09-02 Sun Microsystems, Inc. Method and apparatus for remotely administered authentication and access control
EP1054358A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for approximating a function
EP1054356A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for mapping reflectance while illuminating volume data in a rendering pipeline
EP1054355A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for illuminating volume data in a rendering pipeline
EP1054353A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Rendering a shear-warped partitioned volume data set
EP1054384A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for translating and interfacing voxel memory addresses
EP1054351A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for classifying intensity values of volume data using a reconfigurable look-up table
EP1054357A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method for modulating volume samples with gradient magnitude vectors and step functions
EP1054359A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for modulating lighting in a rendering pipeline
EP1054349A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method for modulating volume samples in a rendering pipeline
EP1054383A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Memory storing voxel data interfaced to rendering pipelines
EP1054348A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Volume rendering integrated circuit
EP1054347A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for applying modulated lighting to volume data in a rendering pipeline
EP1054385A2 (en) 1999-05-20 2000-11-22 Mitsubishi Denki Kabushiki Kaisha State machine for controlling a voxel memory
US6407737B1 (en) 1999-05-20 2002-06-18 Terarecon, Inc. Rendering a shear-warped partitioned volume data set
US6952741B1 (en) 1999-06-30 2005-10-04 Computer Sciences Corporation System and method for synchronizing copies of data in a computer system
EP1069530A2 (en) 1999-07-15 2001-01-17 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for classifying samples
EP1069532A2 (en) 1999-07-15 2001-01-17 Mitsubishi Denki Kabushiki Kaisha Multi-pass volume rendering pipeline
EP1069528A2 (en) 1999-07-15 2001-01-17 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for mapping samples in a rendering pipeline
US6476810B1 (en) 1999-07-15 2002-11-05 Terarecon, Inc. Method and apparatus for generating a histogram of a volume data set
US6421057B1 (en) 1999-07-15 2002-07-16 Terarecon, Inc. Configurable volume rendering pipeline
US6424346B1 (en) 1999-07-15 2002-07-23 Tera Recon, Inc. Method and apparatus for mapping samples in a rendering pipeline
EP1071041A2 (en) 1999-07-15 2001-01-24 Mitsubishi Denki Kabushiki Kaisha Method and apparatus for generating a histogram of a volume data set
US20020069400A1 (en) 1999-08-16 2002-06-06 Z-Force Corporation System for reusable software parts for supporting dynamic structures of parts and methods of use
US6618751B1 (en) 1999-08-20 2003-09-09 International Business Machines Corporation Systems and methods for publishing data with expiration times
US6654012B1 (en) 1999-10-01 2003-11-25 Terarecon, Inc. Early ray termination in a parallel pipelined volume rendering system
EP1089235A2 (en) 1999-10-01 2001-04-04 Mitsubishi Denki Kabushiki Kaisha Space leaping in a parallel pipelined volume rendering system
EP1089225A2 (en) 1999-10-01 2001-04-04 Mitsubishi Denki Kabushiki Kaisha Parallel pipelined volume rendering system
EP1089234A2 (en) 1999-10-01 2001-04-04 Mitsubishi Denki Kabushiki Kaisha Parallel pipelined volume rendering system
EP1093085A2 (en) 1999-10-01 2001-04-18 Mitsubishi Denki Kabushiki Kaisha Controller for a parallel pipelined volume rendering system
US6621918B1 (en) 1999-11-05 2003-09-16 H Innovation, Inc. Teleradiology systems for rendering and visualizing remotely-located volume data sets
US20010013128A1 (en) 1999-12-20 2001-08-09 Makoto Hagai Data reception/playback method, data reception/playback apparatus, data transmission method, and data transmission apparatus
US6847365B1 (en) 2000-01-03 2005-01-25 Genesis Microchip Inc. Systems and methods for efficient processing of multimedia data
US7062714B1 (en) 2000-07-28 2006-06-13 Ge Medical Systems Global Technology Company, Llc Imaging system having preset processing parameters adapted to user preferences
US6704024B2 (en) 2000-08-07 2004-03-09 Zframe, Inc. Visual content browsing using rasterized representations
US6879996B1 (en) 2000-09-13 2005-04-12 Edward W. Laves Method and apparatus for displaying personal digital assistant synchronization data using primary and subordinate data fields
US6760755B1 (en) 2000-09-22 2004-07-06 Ge Medical Systems Global Technology Company, Llc Imaging system with user-selectable prestored files for configuring communication with remote devices
EP1195718A2 (en) 2000-10-04 2002-04-10 TeraRecon, Inc. Parallel pipelined image rendering system
EP1195719A2 (en) 2000-10-04 2002-04-10 TeraRecon, Inc. Rendering memory in a volume rendering system
EP1195720A2 (en) 2000-10-04 2002-04-10 TeraRecon, Inc. Method and apparatus for Volume rendering
US6614447B1 (en) 2000-10-04 2003-09-02 Terarecon, Inc. Method and apparatus for correcting opacity values in a rendering pipeline
EP1195717A2 (en) 2000-10-04 2002-04-10 TeraRecon, Inc. Controller for rendering pipelines
US6680735B1 (en) 2000-10-04 2004-01-20 Terarecon, Inc. Method for correcting gradients of irregular spaced graphic data
EP1209618A1 (en) 2000-11-28 2002-05-29 TeraRecon, Inc., A Delaware Corporation Volume rendering pipeline
EP1209629A1 (en) 2000-11-28 2002-05-29 TeraRecon, Inc., A Delaware Corporation Early ray termination in a parallel pipelined volume rendering system
JP2002183747A (en) 2000-11-30 2002-06-28 Terarecon Inc Volume rendering pipeline
JP2002183746A (en) 2000-11-30 2002-06-28 Terarecon Inc Rendering method for volume data set
US20020065939A1 (en) 2000-11-30 2002-05-30 Chung Liu Method and apparatus for updating applications on a mobile device via device synchronization
US6683933B2 (en) 2001-05-02 2004-01-27 Terarecon, Inc. Three-dimensional image display device in network
US6826669B1 (en) 2001-05-08 2004-11-30 Lewiz Communications Multi-protocol memory lookup system and method
US6826297B2 (en) 2001-05-18 2004-11-30 Terarecon, Inc. Displaying three-dimensional medical images
US20030055896A1 (en) 2001-08-31 2003-03-20 Hui Hu On-line image processing and communication system
US7039723B2 (en) 2001-08-31 2006-05-02 Hinnovation, Inc. On-line image processing and communication system
US20030156745A1 (en) 2001-09-11 2003-08-21 Terarecon, Inc. Image based medical report system on a network
US20030086595A1 (en) 2001-11-07 2003-05-08 Hui Hu Display parameter-dependent pre-transmission processing of image data

Non-Patent Citations (146)

* Cited by examiner, † Cited by third party
Title
"2D and 3D Progressive Transmission Using Wavelets", www.cs.wpi.edu/~matt/courses/cs563/talks/Wavelet-Presentation/, (Mar. 25, 1997), 6 pgs.
"2D and 3D Progressive Transmission Using Wavelets", www.cs.wpi.edu/˜matt/courses/cs563/talks/Wavelet—Presentation/, (Mar. 25, 1997), 6 pgs.
"3D displays for computed tomography", by Sandy Napel p. 603-626, in the book entitled "Medical CT and Ultrasound: current technology and applications" published by Advanced Medical Publishing, 1995.
"A Brief Description of the Gibabit Testbed Initiative", http://web.archive.org/web/19980703071107/http://www0.cnri.reston.va.us/overview/html, (archived Jul. 3, 1998), 9 pgs.
"A Prototype Distributed Visualization System", http://www.hpcc.arc.nasa.gov/reports/annrep97/ess/ww42.htm, (observed Oct. 5, 1999), 11 pgs.
"Adding Data Visualization to Instrumentation", (Advanced Visual Systems, Inc.) http://web.archive.org/web/1999042906060638/http://www.avs.com/solution/success/papers/testmea.htm,(archived Apr. 29, 1999), 7 pgs.
"An Interactive Remote Visualization Environment for an Electromagnetic Scattering Simulation on a High Performance Computing System", http://www.npac.syr.edu/users/gcheng/CEM/ems.html, (observed Jul. 14, 1999), 2 pgs.
"Argonne-USC Researchers Win GII Next Generation Award for Advanced Computing Infrastructure", http://web.archive.org/web/19990204032736/http://www.npaci.edu/News/98/042298-gusto.html, (Apr. 22, 1998), 2 pgs.
"Corridor One: An Integrated Distance Visualization Environment for SSI and ASCI Applications", (Proposal to DOE 99-09) http://www-fp.mcs.anl.gov/fl/research/Proposals/co.htm, (observed Oct. 5, 1999), 29 pgs.
"Data and Visualization Corridors: Report on the 1998 DVC Workshop Series" by P.H. Smith & J. van Rosendale, California Institute of Technology Technical Report CACR—164 Sep. 1998.
"Demand for General Availability of Visualization Techniques", http://www.ts.go.dlr.de/sm-sk-info/library/documents/EGSciVis97/VaWX5Fproto-3.html,(observed Jul. 15, 1999),1 pg.
"Demand for General Availability of Visualization Techniques", http://www.ts.go.dlr.de/sm-sk—info/library/documents/EGSciVis97/VaWX5Fproto-3.html,(observed Jul. 15, 1999),1 pg.
"Department of Defense High-Performance Computing Modernization Office", http://www.ncsa.uiuc.edu/Vis/Pet/, (observed Jul. 15, 1999),1 pg.
"Distributed Visualization Task-1995 HPCC Annual Review Reports", http://web.archive.org/web/19970607124635/http://olympic.jpl.nasa.gov/Reports/Highlights95/ML-DVT.html, (archived Jun. 7, 1997),2 pgs.
"Distributed Visualization Task—1995 HPCC Annual Review Reports", http://web.archive.org/web/19970607124635/http://olympic.jpl.nasa.gov/Reports/Highlights95/ML—DVT.html, (archived Jun. 7, 1997),2 pgs.
"DOD PET Strategic Plan for Visualization", http://www.ncsa.uiuc.edu/Vis/PET/strategy.html, (observed Jul. 15, 1999),1 pg.
"DOD PET Visualization Plan, PET Initiatives", http://www.ncsa.uiuc.edu/Vis/PET/timelineEfforts.html, (observed Jul. 15, 1999), 1 pg.
"DOD PET Visualization Plan, Technology Trends", http://www.ncsa.uiuc.edu/Vis/PET/timelineTrends.html, (observed Jul. 15, 1999), 1 pg.
"DOD PET Visualization Plan, User Needs", http://www.ncsa.uiuc.edu/Vis/PET/timelineNeeds.html,(observed Jul. 15, 1999), 1 pg.
"DOD PET-Trends in Graphics and Visualization", http://www.ncsa.uiuc.edu/Vis/Publications/trends.html,(Jan. 1998),3 pgs.
"DOD PET—Trends in Graphics and Visualization", http://www.ncsa.uiuc.edu/Vis/Publications/trends.html,(Jan. 1998),3 pgs.
"EMERGE-Application Projects/Toolkits that will be deployed over EMERGE", http://www.evl.uic.edu/cavern/EMERGE/applications.html, (observed Oct. 7, 1999), 2 pgs.
"EMERGE—Application Projects/Toolkits that will be deployed over EMERGE", http://www.evl.uic.edu/cavern/EMERGE/applications.html, (observed Oct. 7, 1999), 2 pgs.
"ERSUG Meeting Minutes", http://home.nersc.gov/about/ERSUG/meeting-info/Apr98-minutes.html, (observed Jul. 15, 1999), 6 pgs.
"ERSUG Meeting Minutes", http://home.nersc.gov/about/ERSUG/meeting—info/Apr98—minutes.html, (observed Jul. 15, 1999), 6 pgs.
"Experiments in Remote Visualization", http://woodall.ncsa.uiuc.edu/dbock/projects/RemoteViewIndex.html, (observed Jul. 14, 1999), 2 pgs.
"Gibabit Testbeds Final Report", http://web.archive.org/web/19980213052026/http://www.cnri.reston.va.us/gigafr/noframes/section-4-25.htm, (archived Feb. 13, 1998), 5 pgs.
"H Innovation Trade Show Brochure", (2001), 2 pgs.
"High Performance Internet Access for Research and Education in Science and Engineering", (The State University of New Jersey-Rutgers-Grant Proposal) http://ephesus.rutgers.edu/hypernet/origprop.net, (observed Jul. 15, 1999), 10 pgs.
"High Performance Internet Access for Research and Education in Science and Engineering", (The State University of New Jersey—Rutgers—Grant Proposal) http://ephesus.rutgers.edu/hypernet/origprop.net, (observed Jul. 15, 1999), 10 pgs.
"HP Internet Philanthropic Initiative-1998 Update", http://web.archive.org/web/19990922074930/http://www.infomed.dia.fi.upm.es/english/HP/proposal1998.html, (archived Sep. 22, 1999), 10 pgs.
"HP Internet Philanthropic Initiative—1998 Update", http://web.archive.org/web/19990922074930/http://www.infomed.dia.fi.upm.es/english/HP/proposal1998.html, (archived Sep. 22, 1999), 10 pgs.
"Internet 2 Research Applications", (University of Alabama at Birmingham) http://web.archive.org/web/19990302023111/http://www.uab.edu/internet2/meritapps1.html, (archived Mar. 2, 1999), 6 pgs.
"Introduction-Data Visualization", http://www.npac.syr.edu/users/gcheng/homepage/thesis/node27.html, (observed Jul. 15, 1999), 2 pgs.
"Introduction—Data Visualization", http://www.npac.syr.edu/users/gcheng/homepage/thesis/node27.html, (observed Jul. 15, 1999), 2 pgs.
"NCSA Report, SIGGRAPH 98: Visualization Software", http://www.ncsa.uiuc.edu/Vis/Publications/SIGGRAPH98/s10.html, (observed Jul. 15, 1999),1 pg.
"NCSA Vis&VE Trip Report: IEEE VR 99 (nee VRAIS99)", http://www.ncsa.uiuc.edu/Vis/Trips/VR99.html, (observed Jul. 15, 1999), 12 pgs.
"NCSA Visualization and Virtual Environments", http://www.ncsa.uiuc.edu/Vis/,(observed Jul. 15, 1999), 2 pgs.
"Next Generation Internet-1999 Program", http://www.er.doe.gov/production/octr/mies/press99-09.html, (observed Oct. 12, 1999),2 pgs.
"Next Generation Internet—1999 Program", http://www.er.doe.gov/production/octr/mies/press99-09.html, (observed Oct. 12, 1999),2 pgs.
"Non-Final Office Action mailed Aug. 13, 2007 in U.S. Appl. No. 10/008,162", OARN, 25.
"Northeast Parallel Architectures Center-Mission", http://www.npac.syr.edu/Mission/index.html,(observed Oct. 12, 1999), 1 pg.
"Northeast Parallel Architectures Center—Mission", http://www.npac.syr.edu/Mission/index.html,(observed Oct. 12, 1999), 1 pg.
"Northeast Parallel Architectures Center-Projects", http://www.npac.sry.edu/Projects/index.html,(observed Jul. 15, 1999),4 pgs.
"Northeast Parallel Architectures Center—Projects", http://www.npac.sry.edu/Projects/index.html,(observed Jul. 15, 1999),4 pgs.
"Notice Inviting Research Grant Applications", Federal Register, vol. 64, No. 5, (Jan. 8, 1999),3 pgs.
"PACS-Picture Archiving and Communications Systems", http://www.medfusion.com/Arena/PACS/pacs.html, (observed Oct. 12, 1999), 1 pg.
"PACS—Picture Archiving and Communications Systems", http://www.medfusion.com/Arena/PACS/pacs.html, (observed Oct. 12, 1999), 1 pg.
"Progressive Image Transmission", www.vision.ee.ethz.ch/~rsia/talks/RSL-talk/pit-3.html, (observed Sep. 28, 2001), 1 pg.
"Progressive Image Transmission", www.vision.ee.ethz.ch/˜rsia/talks/RSL—talk/pit—3.html, (observed Sep. 28, 2001), 1 pg.
"Rationale for a WWW-Based Visualization Service", http://www.ts.go.dlr.de/sm-sk-info/library/documents/EGSciVis97/VaWX5Fproto-2.html, (observed Jul. 15, 1999), 1 pg.
"Rationale for a WWW-Based Visualization Service", http://www.ts.go.dlr.de/sm-sk—info/library/documents/EGSciVis97/VaWX5Fproto-2.html, (observed Jul. 15, 1999), 1 pg.
"Scientific Visualization Sites (Mirror)", http://puh.cb.uu.se/~rogerh/visWeblets.html, (observed Oct. 5, 1999),5 pgs.
"Scientific Visualization Sites (Mirror)", http://puh.cb.uu.se/˜rogerh/visWeblets.html, (observed Oct. 5, 1999),5 pgs.
"TeraRecon's AguariusNET(TM) Server", (2002), 7 pgs.
"TeraRecon's AguariusNET™ Server", (2002), 7 pgs.
"The Clinical Practice Guidelines Project", http://www.infomed.dia.fi.upm.es/english/guidelines.html, (observed Oct. 7, 1999), 2 pgs.
"The Realization Report: Issue No. 3", http://www.itd.nrl.navy.mil/ONR/realization-report/rosenblum.003.html, (observed Jul. 15, 1999), 4 pgs.
"The Realization Report: Issue No. 3", http://www.itd.nrl.navy.mil/ONR/realization—report/rosenblum.003.html, (observed Jul. 15, 1999), 4 pgs.
"U.S. Appl. No. 09/945,479 Non Final Office Action mailed Nov. 17, 2004", 16 pgs.
"U.S. Appl. No. 09/945,479 Notice of Allowance mailed Jun. 16, 2005", 7 pgs.
"U.S. Appl. No. 09/945,479 Notice of Allowance mailed Nov. 4, 2005", 6 pgs.
"U.S. Appl. No. 09/945,479 Response filed Mar. 17, 2005 to Non Final Office Action mailed Nov. 17, 2004", 10 pgs.
"U.S. Appl. No. 10/008,162 Final Office Action mailed Apr. 1, 2008", FOAR, 28 Pgs.
"U.S. Appl. No. 10/008,162 response filed Dec. 13, 2007 to Office Action mailed Aug. 13, 2007", 21 pgs.
"U.S. Appl. No. 10/008,162 Response to Final Office Action filed Jul. 2, 2007", 17 pgs.
"U.S. Appl. No. 10/008,162, Final Office Action mailed Jan. 30, 2007", 28 pgs.
"U.S. Appl. No. 10/008,162, Final Office Action mailed Sep. 23, 2005", 20 pgs.
"U.S. Appl. No. 10/008,162, Non-Final Office Action mailed Aug. 13, 2007", 23 pgs.
"U.S. Appl. No. 10/008,162, Non-Final Office Action mailed Feb. 24, 2005", 15 pgs.
"U.S. Appl. No. 10/008,162, Non-Final Office Action mailed May 3, 2006", 22 pgs.
"U.S. Appl. No. 10/008,162, Response filed Feb. 6, 2006 Final Office Action mailed Sep. 23, 2005", 18 pgs.
"U.S. Appl. No. 10/008,162, Response filed Jul. 2, 2007 Final Office Action mailed Jan. 30, 2007", 17 pgs.
"U.S. Appl. No. 10/008,162, Response filed Jun. 24, 2005 Non-Final Office Action mailed Feb. 24, 2005", 12 pgs.
"U.S. Appl. No. 10/008,162, Response filed Nov. 2, 2006 Non-Final Office Action mailed May 3, 2006", 22 pgs.
"Use of Remote Visualization Methods", http://www.ts.go.dlr.de/sm-sk-info/library/documents/EGSciVis97/VaWX5Fproto-4.html, (observed Jul. 15, 1999), 1 pg.
"Use of Remote Visualization Methods", http://www.ts.go.dlr.de/sm-sk—info/library/documents/EGSciVis97/VaWX5Fproto-4.html, (observed Jul. 15, 1999), 1 pg.
"Vol. III-Technical Proposal for Collaborative Interaction and Visualization", (BAA 93-01-PKRD) http://www.npac.syr.edu/users/gcf/romelabciv/prop.html, (observed Oct. 12, 1999), 28 pgs.
"Vol. III—Technical Proposal for Collaborative Interaction and Visualization", (BAA 93-01-PKRD) http://www.npac.syr.edu/users/gcf/romelabciv/prop.html, (observed Oct. 12, 1999), 28 pgs.
"Web-Based Visualization Server for 3D Reconstruction", http://felix.uttgm.ro/~dradoiu/ip/Laborator/application.html, (observed Oct. 12, 1999), 4 pgs.
"Web-Based Visualization Server for 3D Reconstruction", http://felix.uttgm.ro/˜dradoiu/ip/Laborator/application.html, (observed Oct. 12, 1999), 4 pgs.
Ang, C. S., et al., "Integrated Control of Distributed-Volume Visualization Through the World-Wide-Web", Proceedings of the IEEE Conference Visualization '94, (1994), 13-20.
Bajaj, C. L., et al., "The VAIDAK Medical Image Model Reconstruction Toolkit", Proceedings of the 8th SIGAPP Symposium on Applied Computing, (Abstract Only),(1993), 1 pg.
Baker, M. P., et al., "Battleview: Touring a Virtual Battlefield", http://www.ncsa.uiuc.edu/Vis/Publications/bv98.html,(observed Jul. 15, 19999), 5 pgs.
Baker, M. P., et al., "Visualization of Damaged Structures", http://www.ncsa.uiuc.edu/Vis/Publications/damage.html, (observed Jul. 15, 1999), 6 pgs.
Bock, D. , et al., "Collaborative Visualization", http://www.ncsa.uiuc.edu/Vis/Publications/collabFramework.html, (observed Jul. 15, 1999), 6 pgs.
Bock, D., "Remote Visualization Using the World Wide Web", http://www.ncsa.uiuc.edu/Vis/Publications/remoteVisHTTP.html,(observed Jul. 15, 1999),5 pgs.
Bossart, P.-L., "Hypertools in Image and Volume Visualization", Proceedings of the Fourth Annual Tcl.Tk Workshop, (Abstract Only),(1996), 1 pg.
Casey, B., "HInnovation Adds Internet Wrinkle to 3-D Imaging", http://www.auntminnie.com/index.asp?sec=rca&sub=def&pag=dis&ItemID=50700, (May, 3, 2001; observed Dec. 11, 2002), 1 pg.
Cavanagh, P. M., et al., "Commentary-Delivering Imaging to Primary Care in the Next Millennium", The British Journal of Radiology, 71, (1998), 805-807.
Cavanagh, P. M., et al., "Commentary—Delivering Imaging to Primary Care in the Next Millennium", The British Journal of Radiology, 71, (1998), 805-807.
Chen, L. S., et al., "A Distributed and Interactive Three-Dimensional Medical Image System", Computerized Medical Imaging and Graphics, 18(5), (1994),325-337.
Cimino, C., et al., "Clinical Applications of an ATM/Ethernet Network in Departments of Neuroradiology and Radiotherapy", Stud Health Technol Inform., 43(Part B), (1997),606-610.
Coleman, J., et al., "TeleInViVo: A Collaborative Volume Visualization Application", Stud Health Technol Inform. 39,(1997),115-124.
Cosic, D., "An Open Medical Imaging Workstation Architecture for Platform-Independent 3-D Medical Image Processing and Visualization", IEEE Transactions on Information Technoloy in Biomedicine, 1(4), (1997), 279-283.
Ćosić, D., "An Open Medical Imaging Workstation Architecture for Platform-Independent 3-D Medical Image Processing and Visualization", IEEE Transactions on Information Technoloy in Biomedicine, 1(4), (1997), 279-283.
Dobbins, H., et al., "Multisite Three-Dimensional Brain Visualization", http://www.uab.edu/internet2/ala-tele-collaboration.html, (observed Oct. 12, 1999), 1 pg.
Dobbins, H., et al., "Multisite Three-Dimensional Brain Visualization", http://www.uab.edu/internet2/ala—tele-collaboration.html, (observed Oct. 12, 1999), 1 pg.
Eichelberg, M., et al., "RETAIN: Multimedia Teleradiology on the Pan-European Information Superhighway", CAR' 96 Computer Assisted Radiology. Proceedings of the International Symposium on Computer and Communication Systems for Image Guided Diagnosis and Therapy, (Abstract Only),(1996), 1 pg.
Fernandez, I. , et al., "ARMEDA: Accessing Remote Medical Databases Over the World Wide Web", http://www.infomed.dia.fi.upm.es/Armeda/armeda-MIE97.html, (observed Oct. 7, 1999), 4 pgs.
Fernandez, I. , et al., "ARMEDA: Accessing Remote Medical Databases Over the World Wide Web", http://www.infomed.dia.fi.upm.es/Armeda/armeda—MIE97.html, (observed Oct. 7, 1999), 4 pgs.
Furuie, S., et al., "Telemedicine: Remote Analysis and Quantification of Nuclear Medicine Images Using Java", http://incor.usp.br/spdweb/projects/p22/p22.html, (observed Oct. 12, 1999), 2 pgs.
Hendin, O., et al., "Medical Volume Rendering Over the WWW Using VRMP and JAVA", Stud Health Technol Inform. 50, (1998),34-40.
Henri, C. J., et al., "Design and implementation of World Wide Web-based tools for image management in computed tomography, magnetic resonance imaging, and ultrasonography", Journal of Digital Imaging, 10(3 Suppl 1), (1997),77-79.
Hightower, D., et al., "Computer Radiology: Ship to Shore", CAR '96 Computer Assisted Radilogy. Proceedings of the International Symposium on Computer and Communication Systems for Image Guided Diagnosis and Therapy, (Abstract Only), (1996), 1 pg.
Kim, N., et al., "Web Based 3-D Medical Image Visualization on the PC", Proceedings of the 9th World Congress on Medical Informatics MEDINFO '98, 9 (Part 2), (1998), 1105-1110.
Kindratenko, V., et al., "Sharing Virtual Environments Over a Transatlantic ATM Network in Support of Distant Collaboration in Vehicle Design", http://www.ncsa.uiuc.edu/VEG/DVR/VE98/article.html, (observed Jul. 15, 1999), 8 pgs.
Lee, J. S., et al., "Volumetric Visualization of Head and Neck CT Data for Treatment Planning", International Journal of Radiology, Oncology, Biology, Physics, 44(3), (Abstract Only),(1999), 2 pgs.
Leigh, J., et al., "LIMBO/VTK: A Tool for Rapid Tele-Immersive Visualization", Proceedings of IEEE Visualization '98 (1998),4 pgs.
Liu, P-W , et al., "Distributed Computing: New Power for Scientific Visualization", IEEE Computer Graphics and applications, 16(30, (1996), 42-51.
Lu, T., et al., "Compression Techniques in Teleradiology", Proceedings of the SPIE (vol. 3808), Applications of Digital Image Processing XXII, (Abstract Only),(1999), 1 pg.
Macedonia, M. R., et al., "A Transatlantic Research and Development Environment", IEEE Computer Graphics and Applications, 17(2), (1997),76-82.
Makris, L., et al., "Teleworks: A CSCW Application for Remote Medical Diagnosis Support and Teleconsultation", IEEE Transactions on Information Technology in Biomedicine, 2(2), (Jun. 1998), 62-73.
Malassiotis, S. "Coding and Visualization oof 3D Medical Data for Low Bitrate Communication", CAR '96 Computer Assisted Radiology. Proceedings of the International Symposium on Computer and Communication Systems for Image Guided Diagnosis and Therapy, (Abstract Only),(1996), 1 pg.
Markle, S. , et al., "Distributed Visualization- How to improve the quality of 3D medical volume rendering at almost no costs", Europacs, (Oct. 1998), 4 pgs.
Markle, S. , et al., "Distributed Visualization— How to improve the quality of 3D medical volume rendering at almost no costs", Europacs, (Oct. 1998), 4 pgs.
Marovic, "Visualization of #D fields and medical data using VRML", Future Generation Computer Systems, vol. 14, Nos. 1-2, pp. 33-49 (Jun. 1998). *
Martin, D. C., et al., "Libraries in the Information Age", http://web.archive.org/web/19990223220334/www.ckm.ucsf.edu/papers/LibraryInformationAge/, (archived Feb. 23, 1999), 5 pgs.
Mercurio, P. J., et al., "The Distributed Laboratory: An Interactive Visualization Environment for Electron Microscope and 3D Imaging", Communications of the ACM, 35(6), http://www.acm.org/pubs/toc/Abstracts/cacm/129891.html, (Jun. 1992; observed Jul. 15, 1999), 2 pgs.
Mun, S. K., et al., "Health Care Using High-Bandwidth Communication to Overcome Distance and Time Barriers for the Department of Defense", Proceedings of the SPIE (vol. 1785)-Enabling Technologies for High-Bandwidth Applications, (Abstract Only),(1993), 1 pg.
Mun, S. K., et al., "Health Care Using High-Bandwidth Communication to Overcome Distance and Time Barriers for the Department of Defense", Proceedings of the SPIE (vol. 1785)—Enabling Technologies for High-Bandwidth Applications, (Abstract Only),(1993), 1 pg.
Napel, S., "3D Displays for Computed Tomography", In: Medical CT and Ultrasound: Current Technology and Applications, Published by Advanced Medical Publishing, (1995), 603-626.
Norris, P. R., et al., "Reliable Remote Visualization of Real-Time Biomedical Data", (Abstract Only), (1998), 1 pg.
Orphanoudakis, S. C., et al., "Technological Advances in Teleradiology", European Journal of Radiology 22(3), (Jun. 1996),205-217.
Pandya, A. S., et al., "3D Reconstruction, Visualization, and Measurement of MRI Images", Proceedings of the SPIE (vol. 3640)-Three-Dimensional Image Capture and Applications II, (Abstract Only),(1999), 1 pg.
Pandya, A. S., et al., "3D Reconstruction, Visualization, and Measurement of MRI Images", Proceedings of the SPIE (vol. 3640)—Three-Dimensional Image Capture and Applications II, (Abstract Only),(1999), 1 pg.
Pelizzari, S. A., et al., "Volumetric Visualization of Anatomy for Treatment Planning", International Journal of Radiation, Oncology, Biology, Physics, 34(1), (Abstract Only),(1996), 2 pgs.
Phalke, V., "Remote Visualization for Computational Simulations", http://www.science.doe.gov/sbir/awards-abstracts/sbir/cycle16/phase1/024.htm, (observed Oct. 12, 1999),1 pg.
Phalke, V., "Remote Visualization for Computational Simulations", http://www.science.doe.gov/sbir/awards—abstracts/sbir/cycle16/phase1/024.htm, (observed Oct. 12, 1999),1 pg.
Prior, F., et al., "Communication Technology for Telemedicine", Proceedings of the National Forum: Military Telemedicine On-line Today Research Practice and Opportunities, (1995), 1 pg.
Rhee, T. H., et al., "An Effective Visualization Technique for Huge Volume Data", Journal of KISS(A) (Computer Systems and Theory), (Abstract Only),(1997), 1 pg.
Robb, R. A., et al., "Patient-Specific Anatomic Models from Three Dimensional Medical Image Data for Clinical Applications in Surgery and Endoscopy", Journal of Digital Imaging, 10(3,1), (Abstract Only),(1997), 1 pg.
Roush, W. , "To Johnson, the Grid Means Access", NAS News, (1999), 2 pgs.
Ruggiero, C. , "Teleradiology: A Review", Journal of Telemedicine and Telecard, 4, (1998),25-35.
Sakamoto, Y. , et al. "Three-Dimensional Segmentation of Magnetic Resonance Images Using Neural Network", Proceedings of ACCV '95. Second Asian Conference on Computer Vision, vol. 1, (Abstract Only),(1995),1 pg.
Salomie, A. , et al., "A Teleworking Tool With Progressive Transmission Capabilities for Medical Images", CARS '99 Computer Assisted Radiology and Surgery. Proceedings of the 13th International Congress and Exhibition, (Abstract Only),(1999),1 pg.
Samothrakis, S. , et al., "WWW Creates New Interactive 3D Graphics and Collaborative Environments for Medical Research and Education", International Journal of Medical Informatics, 47(1-2), (1997),69-73.
Santarelli, M. F., et al., "A Parallel System for Dynamic 3D Medical Imaging", Proceedings of High-Performance Computing and Networking. International Conference and Exihibition, (Abstract Only),(1997), 1 pg.
Silverstein, et al., "Web-Based Segmentation and Display of Three-Dimensional Radiologic Image Data", Stud Health Technol Inform., 50, (1998),53-59.
Smith, P. H., et al., "Data and Visualization Corridors: Report on the 1998 DVC Workshop Series", Rosedale, California Institute of Technology Report CACR-164, (Sep. 1998), 54 Pages.
U.S. Appl. No. 09/945,479, filed Aug. 31, 2001, On-Line Image Processing and Communication System.
U.S. Appl. No. 10/008,162, filed Nov. 7, 2001, Display Parameter-Dependent Pre-Transmission Processing of Image Data.
Wilkinson, E. P., et al., "Remote-Rendered 3D CT Angiography (3DCTA) as an Intraoperative Aid in Cerebrovascular Neurosurgery", Computer Aided Surgery, 4, (1999),256-263.
Wong, S. T., et al., "Interactive Query and Visualization of Medical Images on the World Wide Web", http://web.archive.org/20000412115341/http://www.lri.ucsf.edu/polymap/paper/spie96.html (Archived Apr. 12, 2000), 11 pages.
Yun, D. Y., et al., "Sharing Computational Resources and Medical Images Via ACTS-Linked Networks", http://web.archive.org/web/20020620160931/http://web.ptc.org/ library/ptr/june96/2.html, (Jun. 1996; archived Jun. 20, 2002), 12 pgs.
Zuiderveld, K. J., et al., "Clinical Evaluation of Interactive Volume Visualization", Proceedings of the 7th Conference on Visualization '96, (1996), 367-370.

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