Method and device for localizing a structure in a measured data set

• US 20030210820A1
• Filed: 05/07/2003
• Published: 11/13/2003
• Est. Priority Date: 05/07/2002
• Status: Abandoned Application

• Current Assignee: Brainlab AG
• Original Assignee: Brainlab AG
• Inventors: Ruch, Christof, Lachner, Rainer, Vilsmeier, Stefan
• Application Number:
  US10/430,906
• Publication Number:
  US 20030210820A1
• Time in Patent Office: Days
• US Class Current: 382/209
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 7/74 involving reference images or patches

Abstract

A method for automatically localizing at least one structure in a data set obtained by measurement includes predetermining a reference data set and determining a mapping function. The reference data set is mapped onto the measured data set. The method further includes transforming a reference label data set, which is assigned to the reference data set, into an individualized label data set using the determined mapping function.

Claims

1. A method for automatically localizing at least one structure in a data set obtained by measurement, said method comprising:

a) predetermining a reference data set;

b) determining a mapping function;

c) mapping the reference data set onto the measured data set; and

d) transforming a reference label data set, which is assigned to the reference data set, into an individualized label data set using the determined mapping function.

2. The method as set forth in claim 1, wherein said reference data set is determined using the same measuring method as is used to obtain said measured data set.

3. The method as set forth in claim 1, wherein the data sets represent two-dimensional images or three-dimensional volumes.

4. The method as set forth in claim 1, wherein the mapping function includes at least one of (i) a transforming operator, (ii) a rotating operator, (iii) a shearing operator, and (iv) a deforming operator.

5. The method as set forth in claim 1, wherein the mapping function is determined using a hierarchical method including performing a rigid transformation and an elastic transformation.

6. The method as set forth in claim 1, wherein the reference data set is selected from a number of predetermined reference data sets, depending on characteristics of an object characterized by the measured data set.

7. The method as set forth in claim 1, wherein the method is used to localize brain structures.

8. The method as set forth in claim 1, wherein the method is used to localize bone structures.

9. The method as set forth in claim 1, wherein the method is used to segment individual bones.

10. A computer program which, when run on a computer or loaded onto a computer, carries out the steps as set forth in claim 1.

11. A program storage medium or a computer program product comprising the program as set forth in claim 10.

12. A method for localizing at least one structure in a measured patient data set, said method comprising:

determining a reference data set and a corresponding reference label data set;

determining a mapping function based on the measured patient data set and the reference data set; and

transforming the reference label data set into an individualized label data set using the determined mapping function, said individualized label data set being indicative of structures present in the measured patient data set.

13. The method as set forth in claim 12, further comprising:

superimposing the individualized label data set onto the measured patient data set.

14. A device for localizing at least one structure in a data set obtained by measurement, said device comprising:

a data input device which receives the data set obtained by measurement;

a memory which stores a reference data set together with a corresponding reference label data set; and

a processor which determines a mapping function for mapping the reference data set onto the measured data set and for mapping said reference label data set onto an individualized label data set, using the determined mapping function.

15. The device as set forth in claim 14, further comprising a measuring device for capturing a patient data set.

16. The device as set forth in claim 14, further comprising a data output device for displaying the measured data set, the reference data set, the reference label data set and the individualized label data set.