DEPTH DETAIL LEVEL ADJUSTMENT OF MULTI-DIMENSIONAL IMAGE DATA WITH A CLIENT/SERVER-BASED IMAGE RENDERING SYSTEM

• US 20080069458A1
• Filed: 09/19/2007
• Published: 03/20/2008
• Est. Priority Date: 09/19/2006
• Status: Abandoned Application

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: Engel, Klaus, Vega-Higuera, Fernando
• Application Number:
  US11/857,491
• Publication Number:
  US 20080069458A1
• Time in Patent Office: Days
• US Class Current: 382/232
• CPC Class Codes: G06T 15/08 Volume rendering
• CPC Class Codes: G06T 2200/16 involving adaptation to the client's capabilities

Abstract

In a client/server-based image archiving, image retrieval and image rendering system and method for storage, retrieval and graphical visualization of multi-dimensional digital image data such as assessment of medical image data, the detail depth level of volume data received via a data transfer network, to be shown in graphical form, is adjustable by the compressed volume data of subjects to be presented being stored with a highest-possible resolution (predetermined by an imaging system) in a databank administered by a server and directly accessibly only by this server. Although the client/server-based image archiving, image retrieval and image rendering system is able to offer volume data with this highest possible resolution to any point of the system at the request of a screen client, volume data are transferred to a screen client in a compressed form only up to a specific, spatially-variable, region-specific, or subject-specific detail depth level and are presented at the requesting screen client in graphical form. Complicated image rendering and image post-processing algorithms are implemented by the server.

Claims

1. A method for retrieval and graphical visualization of multi-dimensional compressed image data on a screen client of an image archiving/retrieval and rendering system operating on a client/server basis, said method comprising the steps of:

requesting compressed volume data of a subject from a server by a screen client of the server for image rendering at the screen client, and transferring the requested compressed volume data from the server to the screen client and presenting the subject at the screen client in graphical form in a virtual subject space; and

said screen client having a screen plane, and at said screen client, automatically partitioning said virtual subject space into a plurality of volume units of respectively different sizes, dependent on a depth distance of volume regions, to be presented by said volume units, from an observation point situated in front of said screen plane, said screen client decreasing the respective sizes of said volume units in a predetermined manner toward a direction of said observation point and loading compressed image data of lower resolution of a volume data set of the volume regions partitioned most coarsely and farthest from said observation point and successively downloading compressed image data of higher resolution, being less compressed in said direction of decreasing depth distance, for volume units of volume regions partitioned more finely in the direction of said observation point, and presenting volume regions with increasing proximity to said observation point at a higher, spatially variable depth detail level than volume units of said more coarsely partitioned volume regions farther from said observer.

2. A method as claimed in claim 1 comprising, at said screen client, spatially varying said depth detail level of the volumetric image data presented at the screen client dependent on the subject or a region of the subject.

3. A method as claimed in claim 2 comprising, at said screen client, spatially varying said depth detail level dependent on a perspective depth distance of the subject or the region of the subject from said observation point.

4. A method as claimed in claim 2 comprising, at said screen client, spatially varying said depth detail level by increasing said depth detail level according to a user-defined degree in an image section enlargement procedure initiated by a user interacting with the screen client to select a larger presentation scale.

5. A method as claimed in claim 1 comprising storing said volume data to be presented at said screen client with a finest possible resolution predetermined by said system in a databank of said system, and administering said databank by said server and restricting access to said databank to allow said databank to be directly accessible only by said server.

6. A method as claimed in claim 1 comprising executing algorithms having a high computational requirement exclusively at said server, selected, from the group consisting of complex filtering, image segmentation, clustering, image rendering, feature extraction and pattern recognition, and executing algorithms on said compressed volume data exclusively at said screen client having a computational requirement that is lower than said high computational requirement.

7. A method as claimed in claim 1 wherein said client server partitions said virtual subject space into said volume units using a tree-like hierarchical data structure that allows only volume data to be retrieved that correspond to image regions that are currently in use by a user interacting with the screen client.

8. A method as claimed in claim 1 comprising, at said server, generating said compressed volume data using a compression algorithm that encodes at least one of shapes, surface textures and subject structures of the subject to the presented.

9. A method as claimed in claim 8 comprising, at said server, generating said compressed volume data requested by the screen client using wavelet compression.

10. A method as claimed in claim 1 comprising, from said screen client, requesting compressed volume data as time independent or time-dependent data associated with at least one of image rendering of two-dimensional raster graphics and image rendering of three-dimensional raster graphics.

11. A method as claimed in claim 1 comprising, at said screen client, generating a rendered image from the requested compressed volume data using a function value for said depth detail level that is at least one of a spatially variable function value, a region-specific function value, and a subject-specific function value, and, for each rendered image, storing all function values that were used to generate the rendered image.

12. A method as claimed in claim 1 comprising employing a PACS system for archiving and transferring medical volume data as said image archiving, retrieval and rendering system.

13. A method for visualization of multi-dimensional compressed image data, representing a subject in graphical form in a virtual subject space on a screen having a screen plane, comprising the steps of:

in a computer, automatically partitioning said virtual subject space into a plurality of volume units of respectively different sizes, dependent on a depth distance of volume regions, to be presented by said volume units, from an observation point situated in front of said screen plane, and decreasing the respective sizes of said volume units in a predetermined manner toward a direction of said observation point and loading compressed image data of lower resolution of a volume data set of the volume regions partitioned most coarsely and farthest from said observation point and successively downloading compressed image data of higher resolution to said computer, the downloaded data being less compressed in said direction of decreasing depth distance, for volume units of volume regions partitioned more finely in the direction of said observation point; and

presenting volume regions at said screen with increasing proximity to said observation point at a higher, spatially variable depth detail level than volume units of said more coarsely partitioned volume regions farther from said observer.

14. A method as claimed in claim 13 comprising partitioning said virtual subject space into said volume units using a tree-like hierarchical data structure.

15. A screen client for retrieval and graphical visualization of multi-dimensional compressed image data in an image archiving/retrieval and rendering system operating on a client/server basis, comprising:

an interface to a server, of which said screen client is a client, from which said screen client requests compressed volume data of a subject from the server for image rendering at the screen client, for presentation of a subject, represented by the compressed data, at the screen client in graphical form in a virtual subject space; and

said screen client having a screen plane, and said screen client automatically partitioning said virtual subject space into a plurality of volume units of respectively different sizes, dependent on a depth distance of volume regions, to be presented by said volume units, from an observation point situated in front of said screen plane, said screen client decreasing the respective sizes of said volume units in a predetermined manner toward a direction of said observation point and loading compressed image data of lower resolution of a volume data set of the volume regions partitioned most coarsely and farthest from said observation point and successively downloading compressed image data of higher resolution, being less compressed in said direction of decreasing depth distance, for volume units of volume regions partitioned more finely in the direction of said observation point, and presenting volume regions with increasing proximity to said observation point at a higher, spatially variable depth detail level than volume units of said more coarsely partitioned volume regions farther from said observer.

16. A screen client as claimed in claim 15 comprising, at said screen client, spatially varying said depth detail level of the volumetric image data presented at the screen client dependent on the subject or a region of the subject.

17. A client/server-based image archiving, retrieval and rendering system for retrieval and graphical visualization of multi-dimensional compressed image data on a screen client of an image archiving/retrieval and rendering system operating on a client/server basis, comprising:

a server at which compressed volume data representing a subject are available on request;

a screen client of said server that requests said compressed volume data from the server for image rendering at the screen client and presentation of the subject at the screen client in graphical form in a virtual subject space;

a network placing said server and said screen client in communication with each other, that supplies the request for said compressed volume data from the client screen to the server, and that transfers the requested compressed volume data from the server to the client screen; and

said screen client having a screen plane, and said screen client automatically partitioning said virtual subject space into a plurality of volume units of respectively different sizes, dependent on a depth distance of volume regions, to be presented by said volume units, from an observation point situated in front of said screen plane, said screen client decreasing the respective sizes of said volume units in a predetermined manner toward a direction of said observation point and loading compressed image data of lower resolution of a volume data set of the volume regions partitioned most coarsely and farthest from said observation point and successively downloading compressed image data of higher resolution, being less compressed in said direction of decreasing depth distance, for volume units of volume regions partitioned more finely in the direction of said observation point, and presenting volume regions with increasing proximity to said observation point at a higher, spatially variable depth detail level than volume units of said more coarsely partitioned volume regions farther from said observer.

18. A system as claimed in claim 17 wherein said screen client spatially varies said depth detail level of the volumetric image data presented at the screen client dependent on the subject or a region of the subject.

19. A system as claimed in claim 18 wherein said screen client, spatially varies said depth detail level dependent on a perspective depth distance of the subject or the region of the subject from said observation point.

20. A system as claimed in claim 17 comprising a memory wherein said volume data to be presented at said screen client are stored with a finest possible resolution predetermined by said system and said server administering said memory and restricting access to said memory to allow said memory to be directly accessible only by said server.

21. A system as claimed in claim 17 wherein said image archiving, retrieval and rendering are executed in a PACS architecture.

22. A computer-readable medium encoded with a data structure, said computer readable medium being loadable into a server and a screen client, that is a client of said server, in a client/server-based image archiving, retrieval and image rendering system, said screen client having a screen plane and said data structure causing said server and said client screen to:

from the screen client, request compressed volume data of a subject from the server for image rendering at the screen client, and from the server, transfer the requested compressed volume data to the screen client for presentation of the subject at the screen client in graphical form in a virtual subject space; and

at said screen client, automatically partition said virtual subject space into a plurality of volume units of respectively different sizes, dependent on a depth distance of volume regions, to be presented by said volume units, from an observation point situated in front of said screen plane, said screen client decreasing the respective sizes of said volume units in a predetermined manner toward a direction of said observation point and load compressed image data of lower resolution of a volume data set of the volume regions partitioned most coarsely and farthest from said observation point and successively download compressed image data of higher resolution, being less compressed in said direction of decreasing depth distance, for volume units of volume regions partitioned more finely in the direction of said observation point, and present volume regions with increasing proximity to said observation point at a higher, spatially variable depth detail level than volume units of said more coarsely partitioned volume regions farther from said observer.