SYSTEM FOR RAPID AND ACCURATE QUANTITATIVE ASSESSMENT OF TRAUMATIC BRAIN INJURY

• US 20120327075A1
• Filed: 11/17/2010
• Published: 12/27/2012
• Est. Priority Date: 12/10/2009
• Status: Active Grant

• Current Assignee: The Trustees of Dartmounth College (Dartmouth College), Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: The Trustees of Dartmounth College (Dartmouth College), Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Kneser, Reinhard, Geller, Dieter, Peters, Jochen, Weese, Juergen, Qian, Yuechen, Zagorchev, Lyubomir Georgiev, Morre, Elizabeth Anne, Garlinghouse, Matthew A., Roth, Robert M., McAllister, Thomas W.
• Granted Patent: US 9,256,951 B2
• Time in Patent Office: Days
• US Class Current: 345/419
• CPC Class Codes: G06T 2200/24 involving graphical user interfaces [GUIs]
• CPC Class Codes: G06T 2207/10081 Computed x-ray tomography [CT]
• CPC Class Codes: G06T 2207/30016 Brain
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/149 involving deformable models, e.g. active contour models

Abstract

A system and method for automatic segmentation, performed by selecting a deformable model of an anatomical structure of interest imaged in a volumetric image, the deformable model formed of a plurality of polygons including vertices and edges, displaying the deformable model on a display, detecting a feature point of the anatomical structure of interest corresponding to each of the plurality of polygons and adapting the deformable model by moving each of the vertices toward the corresponding feature points until the deformable model morphs to a boundary of the anatomical structure of interest, forming a segmentation of the anatomical structure of interest.

Claims

1. A method for automatic segmentation, comprising:

selecting (210) a deformable model of an anatomical structure of interest imaged in a volumetric image, the deformable model formed of a plurality of polygons including vertices and edges;

displaying (220) the deformable model on a display (106);

detecting (240) a feature point of the anatomical structure of interest corresponding to each of the plurality of polygons; and

adapting (250) the deformable model by moving each of the vertices toward the corresponding feature points until the deformable model morphs to a boundary of the anatomical structure of interest, forming a segmentation of the anatomical structure of interest.

2. The method of claim 1, wherein the deformable model is selected from a database of structures stored in a memory (108).

3. The method of claim 1, wherein the feature point is a point substantially along a boundary of the anatomical structure of interest.

4. The method of claim 1, further comprising:

receiving (260) a user input via a graphical user interface (104), the user input electing an option in regard to segmentation.

5. The method of claim 4, further comprising:

generating (270) a response to the user input.

6. The method of claim 4, wherein the user input is electing to one of calculate a volume of the segmentation and determine a curvature at a selected point.

7. The method of claim 1, wherein the anatomical structure of interest is a brain region.

8. The method of claim 7, further comprising:

determining deviations from a mean vertex value of a normally symmetrical structure of interest to determine abnormality and displaying the deviations to show a deformation in the brain region.

9. The method of claim 8, wherein determining deviations from the mean vertex values includes identifying a mid-sagittal plane of the brain region.

10. The method of claim 7, wherein different deviations are displayed in different colors.

11. A system, comprising:

a processor (102) selecting a deformable model of an anatomical structure of interest imaged in a volumetric image, the deformable model formed of a plurality of polygons including vertices and edges; and

a display (106) displaying the deformable model,

wherein the processor (102) further detects a feature point of the anatomical structure of interest corresponding to each of the plurality of polygons to deform the deformable model by moving each of the vertices toward the corresponding feature points until the deformable model morphs to a boundary of the anatomical structure of interest, forming a segmentation of the anatomical structure of interest.

12. The system of claim 11, further comprising:

a memory (108) storing a database of structures from which the deformable model is selected.

13. The system of claim 11, wherein the feature point is a point substantially along a boundary of the anatomical structure of interest.

14. The system of claim 11, further comprising:

a graphical user interface (104) receiving a user input electing an option in regard to segmentation.

15. The system of claim 14, wherein the processor (102) generates a response to the user input.

16. The system of claim 14, wherein the user input is electing to one of calculate a volume of the segmentation and determine a curvature at a selected point.

17. The system of claim 11, wherein the anatomical structure of interest is a brain region.

18. The system of claim 17, wherein the processor (102) determines deviations from a mean vertex values of a normally symmetrical structure of interest to determine an abnormality and displaying the deviations to show a deformation in the brain region by identifying a mid-sagittal plane of the brain region.

19. The system of claim 18, wherein the display (106) displays different deviations in different colors.

20. A computer-readable storage medium (108) including a set of instructions executable by a processor (102), the set of instructions operable to:

select (210) a deformable model of an anatomical structure of interest imaged in a volumetric image, the deformable model formed of a plurality of polygons including vertices and edges;

display (220) the deformable member on a display (106);

detect (240) a feature point of the anatomical structure of interest corresponding to each of the plurality of polygons; and

adapt (250) the deformable model by moving each of the vertices toward the corresponding feature points until the deformable model morphs to a boundary the anatomical structure of interest, forming a segmentation of the anatomical structure of interest.