Three-dimensional image display device creating three-dimensional image directly from projection data

• US 7,236,558 B2
• Filed: 07/07/2005
• Issued: 06/26/2007
• Est. Priority Date: 07/07/2005
• Status: Active Grant

• Current Assignee: TeraRecon Inc. (Fortive Corp.)
• Original Assignee: TeraRecon Inc. (Fortive Corp.)
• Inventors: Takahashi, Kazuo, Saito, Motoaki
• Primary Examiner(s): Thomas; Courtney
• Assistant Examiner(s): TANINGCO, ALEXANDER H
• Application Number:
  US11/177,218
• Publication Number:
  US 20070009078A1
• Time in Patent Office: 719 Days
• Field of Search: 378/4, 378/21, 378/901, 600/407
• US Class Current: 378/4
• CPC Class Codes: G06T 11/008 Specific post-processing after tomographic reconstruction, e.g. voxelisation, metal artifact correction
• CPC Class Codes: G06T 15/06 Ray-tracing
• CPC Class Codes: G06T 15/08 Volume rendering
• CPC Class Codes: Y10S 378/901 Computer tomography program or processor

Abstract

An imaging device accesses projection data collected by a medical imaging system during a scan of a body. The imaging device uses the projection data directly to render an image of a region of interest of the body.

Claims

1. A method comprising:

determining a region of interest of a body in relation to a CT scan;

selecting a set of sample points within the region of interest based on expected contributions of said sample points to a subsequent volume rendering process;

using the projection data to generate CT values for the sample points; and

applying said volume rendering process to the CT values to create a three-dimensional image.

2. A method as recited in claim 1, wherein selecting the set of sample points comprises:

selecting the sample points so that the density of the sample points in a particular subset of the region of interest corresponds to a degree to which the subset of the region will affect the quality of the three-dimensional image.

3. A method as recited in claim 2, wherein selecting the set of sample points comprises:

selecting sample points so that sample points are distributed more densely in a first subset of the region of interest than in a second subset of the region of interest when the first subset of the region of interest has a greater influence on the quality of the three-dimensional image than the second subset of the region of interest.

4. A method as recited in claim 3, wherein applying the volume rendering process comprises using a ray casting process, and wherein selecting a set of sample points within the region of interest comprises selecting a set of sample points within the region of interest, based on expected contributions of said sample points to said ray casting process.

5. A method as recited in claim 4, wherein said ray casting process comprises defining a plurality of rays through the region of interest;

and

the method further comprises;

limiting the set of sample points to a depth direction of the rays.

6. A method as recited in claim 4, wherein said ray casting process comprises defining a plurality of rays through the region of interest;

and wherein said method further comprises;

not performing reconstruction or rendering for any sample point located beyond another sample point that has an opacity of 1.0 in a direction of said rays.

7. A method as recited in claim 1, wherein:

applying the volume rendering process comprises using a ray casting process which includes defining a plurality of rays through the region of interest;

selecting a set of sample points within the region of interest comprises selecting a set of sample points within the region of interest, based on expected contributions of said sample points to said ray casting process; and

the method further comprises;

limiting the set of sample points to a depth direction of the rays.

8. A method as recited in claim 1, wherein the method comprises:

determining a direction for a plurality of rays through said region of interest;

determining a density of the rays; and

determining a distribution of said sample points along the rays.

9. A method as recited in claim 1, wherein the projection data is X-ray projection data.

10. A system to generate three-dimensional images of features of a body, the system comprising:

a machine-readable storage facility to store projection data collected by CT scanning of a body;

an image reconstruction processing device to identify a three-dimensional region of interest in the body, to select a plurality of samples points within the region of interest based on expected contributions of the sample points to a subsequent volume rendering process, and to use the projection data to generate a set of CT values for the sample points; and

a three-dimensional image processing device to generate a three-dimensional image of the region of interest, based on the CT values.

11. A system as recited in claim 10, wherein selecting the set of sample points comprises:

selecting the sample points so that the density of the sample points in a particular subset of the region of interest corresponds to a degree to which the subset of the region will affect the quality of the three-dimensional image.

12. A system as recited in claim 11, wherein selecting the set of sample points comprises:

selecting sample points so that sample points are distributed more densely in a first subset of the region of interest than in a second subset of the region of interest when the first subset of the region of interest has a greater influence on the quality of the three-dimensional image than the second subset of the region of interest.

13. A system as recited in claim 10, wherein applying the volume rendering process comprises using a ray casting process, and wherein selecting a set of sample points within the region of interest comprises selecting a set of sample points within the region of interest, based on expected contributions of said sample points to said ray casting process.

14. A system as recited in claim 13, wherein said ray casting process comprises defining a plurality of rays through the region of interest;

and

the image reconstruction processing device further is to limit the set of sample points to a depth direction of the rays.

15. A system as recited in claim 13, wherein said ray casting process comprises defining a plurality of rays through the region of interest;

and

wherein the volume rendering process comprises;

not performing reconstruction for any sample point located beyond another sample point that has an opacity of 1.0 in a direction of said rays.

16. A system as recited in claim 10, wherein:

applying the volume rendering process comprises using a ray casting process which includes defining a plurality of rays through the region of interest;

selecting a set of sample points within the region of interest comprises selecting a set of sample points within the region of interest, based on expected contributions of said sample points to said ray casting process; and

the method further comprises;

limiting the set of sample points to a depth direction of the rays.

17. A system as recited in claim 10, wherein the image reconstruction processing device further is to:

determine a direction for a plurality of rays through said region of interest;

determine a density of the rays; and

determine a distribution of said sample points along the rays.

18. An imaging device to create three-dimensional images, the device comprising:

means for connecting with an X-ray CT device equipped with a mechanism to collect projection data by X-ray scanning;

means for storing the projection data;

means for determining a region of interest;

means for selecting a set of sample points within the region of interest based on expected contributions of said sample points to a subsequent volume rendering process;

means for using the projection data to generate CT values for the sample points; and

means for applying said volume rendering process to the CT values to create a three-dimensional image.

19. An imaging device as recited in claim 18, wherein the means for selecting the set of sample points comprises:

means for selecting sample points so that sample points are distributed more densely in a first subset of the region of interest than in a second subset of the region of interest when the first subset of the region of interest has a greater influence on the quality of the three-dimensional image than the second subset of the region of interest.

20. An imaging device as recited in claim 19, wherein the means for applying the volume rendering process comprises means for using a ray casting process, and wherein the means for selecting a set of sample points within the region of interest comprises means for selecting a set of sample points within the region of interest, based on expected contributions of said sample points to said ray casting process.

21. An imaging device as recited in claim 20, wherein said ray casting process comprises defining a plurality of rays through the region of interest;

and

the imaging device further comprises;

means for limiting the set of sample points to a depth direction of the rays.

22. An imaging device as recited in claim 20, wherein said ray casting process comprises defining a plurality of rays through the region of interest;

and

wherein applying said volume rendering process to the CT values to create a three-dimensional image comprises;

not performing reconstruction for any sample point located beyond another sample point that has an opacity of 1.0 in a direction of said rays.

23. An imaging device as recited in claim 18, wherein:

the means for applying the volume rendering process comprises means for using a ray casting process which includes defining a plurality of rays through the region of interest;

the means for selecting a set of sample points within the region of interest comprises means for selecting a set of sample points within the region of interest, based on expected contributions of said sample points to said ray casting process; and

the imaging device further comprises;

means for limiting the set of sample points to a depth direction of the rays.