Method for modifying a medical data set

• US 9,460,504 B2
• Filed: 08/24/2010
• Issued: 10/04/2016
• Est. Priority Date: 08/24/2010
• Status: Active Grant

• Current Assignee: Brainlab AG
• Original Assignee: Brainlab AG
• Inventors: Blumhofer, Andreas
• Primary Examiner(s): Bitar, Nancy
• Application Number:
  US13/816,553
• Publication Number:
  US 20130142407A1
• Time in Patent Office: 2,233 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06T 2207/20096 Interactive definition of curve of interest
• CPC Class Codes: G06T 2207/20104 Interactive definition of region of interest [ROI]
• CPC Class Codes: G06T 2207/20128 Atlas-based segmentation
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 2207/30008 Bone
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/12 Edge-based segmentation

Abstract

A method for modifying a first data set, which is called the target data set and represents the contour of an anatomical object, the method comprising the steps of: —matching a second data set, which is called the template data set and comprises a template for the modification and a template of the object, to the target data set such that the object template in the template data set matches the object in the target data set, thereby also adapting the modification template; —applying the adapted modification template to the target data set.

Claims

1. A method for modifying a target data set including a target object representative of a contour of an anatomical object, the method comprising:

using a template data set comprising a modification template and an object template, wherein the modification template represents a first number of first areas or volumes to be added to the contour of the anatomical object and a second number of second areas or volumes to be subtracted from the contour of the anatomical object, matching the object template of the template data set to the target object of the target data set by an amending of the object template such that the object template of the template data set matches the target object representative of the contour of the anatomical object in the target data set, wherein the amending is also applied to the modification template to form an adapted modification template defining a modification;

applying the modification defined by the adapted modification template to the target data set to modify the target object representative of the contour of the anatomical object in the target data set; and

correcting a border between the target object and the adapted modification template to eliminate a disjunctive gap between the target object and the adapted modification template.

2. The method claim 1, wherein the modification template represents a contour to replace the contour of the anatomical object in the target data set.

3. The method of claim 1, wherein the object template in the template data set comprises one or more of:

the contour of an actual test object generated by performing medical imaging on an associated test person;

a generic model of the anatomical object;

or

an atlas containing a generic model of the anatomical object.

4. The method of claim 1, wherein the target data set represents one or more of:

image data generated by performing medical imaging on an associated patient, wherein the image data represent at least the anatomical object;

a generic model of the anatomical object, wherein the model is matched to the contour of the anatomical object in image data generated by performing medical imaging on the associated patient;

or

an atlas containing a generic model of the anatomical object, wherein the atlas is matched to image data generated by performing medical imaging on the associated patient and the image data represent at least the anatomical object.

5. The method of claim 3, wherein the modification defined by the adapted modification template is made to the template data set manually.

6. The method of claim 4, wherein if the template data set represents an atlas, then:

a modification is made to a model data set and represents the contour of an actual object generated by performing medical imaging on an associated test person or represents the contour of a generic object;

the model data set is matched to the atlas such that the image data of the actual or generic object matches the atlas, thereby also adapting the adapted modification template; and

the adapted modification template in the matched model data set is transferred into the template data set as the adapted modification template.

7. The method of claim 4, wherein if the template data set represents an atlas, then:

a modification is made to a model data set and represents the contour of an actual object generated by performing medical imaging on an associated test person or represents the contour of a generic object;

the atlas is matched to the object in the model data set;

the modification is transformed using a transformation which is inverse to the transformation used in the preceding matching step; and

the transformed modification is transferred into the template data set as the modification template.

8. The method of claim 1, wherein the match is achieved using elastic or rigid image fusion.

9. The method of claim 1, wherein the modification template comprises an average of multiple input templates.

10. The method of claim 1, wherein the modifying the contour is based on the distances between the voxels or pixels within the target data set and the contour of the object and on the distances between the voxels or pixels within the matched template data set and the contour of the object template and/or the adapted modification template.

11. The method of claim 1, wherein the adapted modification template is amended on the basis of the target data set.

12. A medical imaging system, comprising:

an interface; and

a computer coupled with the interface, the computer comprising a central processing unit (CPU) selectively performing the method of claim 1.

15. The method of claim 1, wherein

the matching the object template to the target data set results in a transformation rule;

and

the transformation rule is automatically applied to the modification template to form the adapted modification template.

16. The computer program according to claim 4, wherein:

the matching the object template to the target data set results in a transformation rule; and

the transformation rule is automatically applied to the modification template to form the adapted modification template.

13. A computer program for modifying a target data set including a target object representative of a contour of an anatomical object, embodied on a non-transitory computer-readable medium, which, when running on a computer or when loaded onto a computer, causes the computer to perform the steps of:

using a template data set comprising a modification template and an object template, wherein the modification template represents a first number of first areas or volumes to be added to the contour of the anatomical object and a second number of second areas or volumes to be subtracted from the contour of the anatomical object, matching the object template of the template data set to the target object of the target data set by an amending of the object template such that the object template of the template data set matches the target object representative of the contour of the anatomical object in the target data set, wherein the amending is also correspondingly applied to the modification template to form an adapted modification template defining a modification;

applying the modification defined by the adapted modification template to the target data set to modify the target object representative of the contour of the anatomical object in the target data set; and

correcting a border between the target object and the adapted modification template to eliminate a disjunctive gap between the target object and the adapted modification template.

14. A computer storage medium on which the computer program of claim 13 is stored.

17. A method for modifying a target data set including a target object representative of a contour of an anatomical object, the method comprising:

using a template data set comprising a modification template and an object template, wherein the modification template represents a first number of first areas or volumes to be added to the contour of the anatomical object and a second number of second areas or volumes to be subtracted from the contour of the anatomical object, matching the object template of the template data set to the target object of the target data set by an amending of the object template such that the object template of the template data set matches the target object representative of the contour of the anatomical object in the target data set, wherein the amending of the object template is also applied to the modification template to form an adapted modification template defining a modification;

applying the modification defined by the adapted modification template to the target data set to modify the target object representative of the contour of the anatomical object in the target data set; and

correcting a border between the target object and the adapted modification template to eliminate a disjunctive gap between the target object and the adapted modification template.

18. A medical imaging system, comprising:

an interface; and

a computer coupled with the interface, the computer comprising a central processing unit (CPU) selectively performing the method of claim 17.