Registration of nuclear medicine images

• US 20030063787A1
• Filed: 11/14/2002
• Published: 04/03/2003
• Est. Priority Date: 05/31/1995
• Status: Active Grant

• Current Assignee: GE Medical Systems Israel, Ltd (GE Healthcare Technologies, Inc.)
• Original Assignee: Elscint Limited (Elbit Imaging Limited)
• Inventors: Wainer, Naor, Shwartz, Shoulamit Cohen, Berlad, Gideon, Natanzon, Alex
• Granted Patent: US 6,937,750 B2
• Time in Patent Office: Days
• US Class Current: 382/131
• CPC Class Codes: G01T 1/1615 using both transmission and emission sources simultaneously SPECT imaging G01T1/1642; PET imaging G01T1/2985; detecting prohibited goods, e.g. weapons, explosives, hazardous substances, contraband or smuggled objects G01V5/20
• CPC Class Codes: G01T 1/1648 Ancillary equipment for scintillation cameras, e.g. reference markers, devices for removing motion artifacts, calibration devices adapted for flow studies G01T1/1647
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 3/14 Transformations for image registration, e.g. adjusting or mapping for alignment of images
• CPC Class Codes: G06T 7/30 Determination of transform parameters for the alignment of images, i.e. image registration
• CPC Class Codes: G06V 10/24 Aligning, centring, orientation detection or correction of the image
• CPC Class Codes: G06V 2201/03 Recognition of patterns in medical or anatomical images

Abstract

A method of registering a plurality of functional images includes providing a plurality of functional images, providing a plurality of structural images, each one of which having a known positional relationship to at least one of said plurality of functional images, and finding a first mapping transformation between pairs of functional images based on the first mapping transformation and the positional transformation.

Claims

1. A method of registering a plurality of functional images comprising:

providing a plurality of functional images;

providing a plurality of structural images each of which has a known positional relationship to at least one of said plurality of functional images, said known positional relationship being derived from the apparatus and methods used to acquire the respective structural and functional images;

finding a first mapping transformation between pairs of structural images; and

determining a second mapping transformation between pairs of functional images based on said first mapping transformation and said positional relationship.

24. A method according to claim 1, wherein:

said providing a plurality of functional images comprises acquiring a plurality of functional images based on a first set of acquired data; and

said providing a plurality of structural images comprises acquiring a plurality of structural images based on a second set of acquired data different from said first set of acquired data.

26. A method according to claim 1 and including:

determining reference positions on one of said plurality of structural images; and

marking said functional image at points associated with the reference positions using the mapping transformation.

2. A method of registering a functional image to a structural diagnostic image comprising:

providing a functional image;

providing a first structural image;

providing a second structural image having a known positional relationship to said functional image, said known positional relationship being determined based on the apparatus and methods used to acquire the structural and functional image having the known positional relationship;

finding a first mapping transformation between the two structural images; and

determining a second mapping transformation between the functional image and the first structural image based on said first mapping transformation and said positional relationship.

3. A method according to claim 2, wherein the first functional image is a STET image.

4. A method according to claim 3, wherein the second structural image is a SPTCT image.

5. A method according to claim 3, wherein the second structural image is a SPECT image.

6. A method according to claim 4 wherein the first structural image is an X-Ray CT image.

7. A method according to claim 4 wherein the first structural image is an MRI image.

8. A method according to claim 5 wherein the first structural image is an Ultrasound image.

9. A method according to claim 4 wherein said transformation between structural images includes a warping transformation.

10. A method according to claim 4 wherein said functional and structural images are provided a sets of two dimensional slices and further comprising finding corresponding slices by finding matching slices between sets.

11. A method according to claim 10 wherein finding matching slices comprises manually matching slices.

12. A method according to claim 10 wherein finding corresponding slices comprises correlating slices.

13. A method according to claim 10, further comprising determining a new set of slices for said first functional image to improve correspondence between slices of said functional and structural images.

14. A method according to claim 10, wherein finding a first mapping transformation comprises correlating the two structural images.

15. A method according to claim 10 wherein finding a first mapping transformation comprises:

finding prominent structural details in the images; and

matching the details between the images.

16. A method according to claim 15 wherein the matching is done manually.

17. A method according to claim 16 wherein the matching is done by correlation.

18. A method according to claim 10 comprising displaying emphasized features from one registered image on a second registered image.

19. A method according to claim 10 comprising displaying the difference between two registered images.

20. A method according to claim 10 comprising displaying a series of images.

21. A method according to claim 11 comprising displaying overlaid images.

22. A method according to claim 10 comprising displaying at least one of the images as a three-dimensional image.

23. A method according to claim 9 wherein said known positional relationship includes a warping transformation.

25. A method according to claim 2, wherein:

said providing a plurality of functional images comprises acquiring a plurality of functional images based on a first set of acquired data; and

said providing a plurality of structural images comprises acquiring a plurality of structural images based on a second set of acquired data different from said first sot of acquired data.

27. A method according to claim 2 and including:

determining reference positions on one of said plurality of structural images; and

marking said functional image at points associated with the reference positions using the mapping transformation.