SEGMENTING AN ORGAN IN A MEDICAL DIGITAL IMAGE

• US 20120148123A1
• Filed: 12/10/2010
• Published: 06/14/2012
• Est. Priority Date: 12/10/2010
• Status: Active Grant

• Current Assignee: Philips Healthcare Informatics Incorporated (Koninklijke Philips N.V.)
• Original Assignee: CareStream Health Incorporated
• Inventors: Gindele, Edward B.
• Granted Patent: US 8,311,301 B2
• Time in Patent Office: Days
• US Class Current: 382/128
• CPC Class Codes: G06T 2207/10072 Tomographic images
• CPC Class Codes: G06T 2207/20016 Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
• CPC Class Codes: G06T 2207/20101 Interactive definition of point of interest, landmark or seed
• CPC Class Codes: G06T 2207/20161 Level set
• CPC Class Codes: G06T 2207/30056 Liver; Hepatic
• CPC Class Codes: G06T 7/11 Region-based segmentation
• CPC Class Codes: G06T 7/136 involving thresholding
• CPC Class Codes: G06T 7/187 involving region growing; involving region merging; involving connected component labelling

Abstract

A method for obtaining a segmented region corresponding to an anatomical organ in a volume image generates a smoothed image from the volume image and forms a core segmentation of the volume image according to the smoothed image. The size of the core segmentation of the volume image is increased to form the segmented region for the anatomical organ according to data obtained from the core segmentation. Data corresponding to the segmented region is stored in a memory.

Claims

1. A method for obtaining a segmented region corresponding to an anatomical organ in a volume image, comprising:

generating a smoothed image from the volume image;

forming a core segmentation of the volume image according to the smoothed image;

increasing the size of the core segmentation of the volume image to form the segmented region for the anatomical organ according to data obtained from the core segmentation; and

storing data corresponding to the segmented region in a memory.

2. The method of claim 1 further comprising receiving a starting point within the volume image wherein the starting point corresponds to a location within the anatomical organ.

3. The method of claim 1 wherein generating the smoothed image comprises spatially filtering the volume image.

4. The method of claim 1 wherein increasing the size of the core segmentation comprises obtaining a low characteristic value and a high characteristic value from the core segmentation.

5. The method of claim 4 wherein increasing the size of the core segmentation further comprises constraining the increase to within a predetermined propagation distance from the boundary of the core region.

6. The method of claim 1 further comprising estimating noise magnitude in the volume image data and using the estimate of noise magnitude to generate the smoothed image.

7. The method of claim 1 wherein the memory is a display buffer.

8. A method of segmenting a region corresponding to an anatomical organ of interest in a volume image, the method comprising:

receiving a starting point within the volume image and corresponding to a location within the anatomical organ;

generating a smoothed image by spatially filtering the volume image;

segmenting a core region within the smoothed image based on a predetermined smoothness threshold criterion, wherein the core region includes the starting point;

obtaining a low characteristic value and a high characteristic value according to the range of values within the core region;

generating an expanded segmented region corresponding to the anatomical organ of interest by expanding the core region according to voxel values within the range defined by the obtained low and high characteristic values; and

presenting the expanded segmented region of the anatomical organ of interest on a display.

9. The method of claim 8 further comprising estimating noise magnitude in the volume image data and using the estimate of noise magnitude to generate the smoothed image.

10. The method of claim 8 wherein expanding the core region is constrained to within a predetermined propagation distance from the boundary of the core region.

11. The method of claim 8 wherein receiving the starting point comprises accepting an on-screen operator entry.

12. The method of claim 8 wherein receiving the starting point comprises receiving data from a computer system.

13. The method of claim 8 further comprising computing a volume of the organ of interest according to dimensions of the expanded segmented region and displaying the computed volume.

14. The method of claim 8 wherein spatially filtering the volume image is performed by filtering 2-D image slices that are used to generate the volume image.

15. The method of claim 8 wherein spatial filtering is an iterative operation, with processing steps repeated two or more times.

16. The method of claim 8 further comprising forming one or more versions of the volume image at different resolutions.

17. The method of claim 16 wherein generating an expanded segmented region comprises combining the one or more versions of the volume image at different resolutions.

18. The method of claim 10 wherein the propagation distance is a geodesic distance.

19. The method of claim 8 wherein the organ of interest is taken from the group consisting of a liver, a kidney, a gall bladder, a stomach, and a heart.

20. The method of claim 8 wherein segmenting the core region further comprises relocating the starting point.