System for rapid and accurate quantitative assessment of traumatic brain injury

Patent metadata

Field	Value
Publication number	US-9256951-B2
Application number	US-201013514713-A
Country	US
Kind code	B2
Filing date	Nov 17, 2010
Priority date	Dec 10, 2009
Publication date	Feb 9, 2016
Grant date	Feb 9, 2016

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.

First claim

What is claimed is:

1. A method for automatic segmentation, comprising:
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 plurality of feature points of the anatomical structure of interest, each of the plurality of feature points corresponding to each of the plurality of polygons; and
adapting the deformable model by moving each of the polygons toward the corresponding feature point by moving the vertices of each polygon toward a boundary of the anatomical structure of interest, forming a segmentation of the anatomical structure of interest;
wherein at least a portion of the anatomical structure of interest is a normally symmetrical structure, and the method includes:
determining deviations from a mean vertex value relative to a mid-sagittal plane of the normally symmetrical structure to determine abnormality, and
displaying the deviations to show a deformation in the normally symmetrical structure.

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

3. The method of claim 1 , wherein the feature points lie substantially along the boundary of the anatomical structure of interest.

4. The method of claim 1 , further comprising receiving a user input via a graphical user interface, the user input selecting an option in regard to segmentation.

5. The method of claim 4 , further comprising generating a response to the user input.

6. The method of claim 4 , wherein the user input includes selection of one of: calculating a volume of the segmentation and determining 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 1 , wherein different deviations are displayed in different colors.

9. A system, comprising:
a processor 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 displaying the deformable model,
wherein the processor:
detects a plurality of feature points of the anatomical structure of interest, each of the plurality of feature points corresponding to each of the plurality of polygons,
deforms the deformable model by moving each of the polygons toward the corresponding feature point by moving the vertices of each polygon toward a boundary of the anatomical structure of interest, forming a segmentation of the anatomical structure of interest,

wherein at least a portion of the anatomical structure of interest is a normally symmetrical structure, and the processor:
determines deviations from a mean vertex value relative to a mid-sagittal plane of the normally symmetrical structure to determine abnormality
the deviations to show a deformation in the normally symmetrical structure.

10. The system of claim 9 , further comprising: a memory storing a database of structures from which the deformable model is selected.

11. The system of claim 9 , wherein the feature points lie substantially along the boundary of the anatomical structure of interest.

12. The system of claim 9 , further comprising: a graphical user interface receiving a user input selecting an option in regard to segmentation.

13. The system of claim 12 , wherein the processor generates a response to the user input.

14. The system of claim 12 , wherein the user input includes selection of one of: calculating a volume of the segmentation and determining a curvature at a selected point.

15. The system of claim 9 , wherein the anatomical structure of interest is a brain region.

16. The system of claim 9 , wherein the display displays different deviations in different colors.

17. A non-transient computer-readable storage medium including a set of instructions executable by a processor that cause the processor to:
select 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 the deformable member on a display;
detect a feature point of the anatomical structure of interest corresponding to each of the plurality of polygons; and
adapt the deformable model by moving each of the polygons toward the corresponding feature point by moving the vertices of each polygon toward a boundary of the anatomical structure of interest, forming a segmentation of the anatomical structure of interest;
wherein at least a portion of the anatomical structure of interest is a normally symmetrical structure, and the instructions cause the processor to:
determine deviations from a mean vertex value relative to a mid-sagittal plane of the normally symmetrical structure to determine abnormality,
the deviations to show a deformation in the normally symmetrical structure.

18. The medium of claim 17 , wherein the anatomical structure of interest is a brain region.

19. The medium of claim 17 , wherein different deviations are displayed in different colors.

20. The medium of claim 17 , wherein the deformable model is selected from a database of structures stored in a memory.

Assignees

• Zagorchev Lyubomir Georgiev
• Morre Elizabeth Anne
• Garlinghouse Matthew A
• Roth Robert M
• Mcallister Thomas W
• Geller Dieter
• Peters Jochen
• Weese Juergen
• Qian Yuechen
• Koninkl Philips Nv

Inventors

• Zagorchev Lyubomir Georgiev
• Morre Elizabeth Anne
• Garlinghouse Matthew A
• Roth Robert M
• Mcallister Thomas W
• Kneser Reinhard
• Geller Dieter
• Peters Jochen
• Weese Juergen
• Qian Yuechen

Classifications

• G06T2200/24

  involving graphical user interfaces [GUIs] · CPC title

• G06T7/0089 Primary

  Physics · mapped topic

• G06T2207/10081

  Computed x-ray tomography [CT] · CPC title

• G06T7/0012

  Biomedical image inspection · CPC title

• G06T2207/30016

  Brain · CPC title