METHOD AND SYSTEM FOR AUTOMATIC EVALUATION OF AN IMAGE DATA SET OF A SUBJECT

• US 20070223796A1
• Filed: 03/21/2007
• Published: 09/27/2007
• Est. Priority Date: 03/21/2006
• Status: Abandoned Application

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: Guehring, Jens
• Application Number:
  US11/688,986
• Publication Number:
  US 20070223796A1
• Time in Patent Office: Days
• US Class Current: 382/128
• CPC Class Codes: G06T 2207/10088 Magnetic resonance imaging [MRI]
• CPC Class Codes: G06T 2207/30016 Brain
• CPC Class Codes: G06T 7/33 using feature-based methods

Abstract

In a method and system for automated evaluation of an image data set of a subject, first features are extracted from the image data set that are associated with the subject. An interdependency between the image data set of the subject and a reference system that corresponds to the image data set is determined, by the extracted first features being set in relation to corresponding second features in the reference system. Method steps relating to image evaluation that are predefined at the reference system, are adapted to the image data set using the determined interdependency. The image data set by executing the adapted method steps on the image data set. The evaluated image data set is stored in a storage medium and/or the evaluated image data set is visually presented.

Claims

1. A method for automated evaluation of an image data set of a subject, comprising the steps of:

from an image data set of a subject, extracting first features associated with the subject;

automatically electronically determining an interdependency between said image data set of the subject and a reference system that corresponds to the image data set, by setting the extracted first features in relation to corresponding second features in the reference system;

automatically electronically adapting image evaluation steps, that are defined at the reference system, to said image data set using said interdependency;

automatically electronically evaluating said image data set by executing the adapted image evaluation steps on the image data set, to produce an evaluated image data set; and

performing at least one of storing said evaluated image data set in a storage medium and visually presenting said evaluated image data set.

2. A method as claimed in claim 1 comprising employing, as said image data set, an image data set representing a subject selected from the group consisting of a human subject, an animal subject, a human body part, and an animal body part.

3. A method as claimed in claim 2 comprising employing, as said reference system, a coordinate system comprising anatomical features of said subject,

4. A method as claimed in claim 2 wherein said subject is selected from the group consisting of an animal body part and a human body part, and comprising using, as said reference system, an atlas of said body part.

5. A method as claimed in claim 2 comprising generating said reference system by obtaining an image of an example subject, other than said subject.

6. A method as claimed in claim 2 comprising determining said interdependency by electronic comparison of characteristic anatomical landmarks in said image data set and in said reference system.

7. A method as claimed in claim 2 comprising determining said independency by automatically comparing intensity distributions in said image data set and in said reference system.

8. A method as claimed in claim 2 comprising establishing said defined image evaluation steps dependent on a medical question.

9. A method as claimed in claim 1 comprising mathematically defining said interdependency with a transformation selected from the group consisting of affine transformations, rigid transformations, and non-linear transformations.

10. A method as claimed in claim 1 comprising defining said image evaluation steps at said reference system as script-like instructions.

11. A method as claimed in claim 1 comprising defining said image evaluation steps at said reference system by manual interaction of a user with said reference system.

12. A method as claimed in claim 1 comprising modifying said image evaluation steps by manually entering parameters into said reference system.

13. A method as claimed in claim 1 comprising employing a 3D volume data set as said image data set.

14. A method as claimed in claim 13 comprising acquiring said 3D volume data set with an imaging modality selected from the group consisting of computed tomography apparatuses and magnetic resonance tomography apparatuses.

15. An image evaluation system for automated evaluation of an image data set of a subject, comprising:

a computer that, from an image data set of a subject, extracts first features associated with the subject, and automatically determines an interdependency between said image data set of the subject and a reference system that corresponds to the image data set, by setting the extracted first features in relation to corresponding second features in the reference system, and automatically adapts image evaluation steps, that are defined at the reference system, to said image data set using said interdependency, and automatically evaluates said image data set by executing the adapted image evaluation steps on the image data set, to produce an evaluated image data set;

a storage medium in communication with said computer in which said evaluated image data set are stored; and

a display in communication with said computer at which said evaluated image data set is visually presented as an image.

16. An image evaluation system as claimed in claim 15 wherein said computer employs, as said image data set, an image data set representing a subject selected from the group consisting of a human subject, an animal subject, a human body part, and an animal body part.

17. An image evaluation system as claimed in claim 16 wherein said computer employs, as said reference system, a coordinate system comprising anatomical features of said subject,

18. An image evaluation system as claimed in claim 16 wherein said subject is selected from the group consisting of an animal body part and a human body part, and wherein said computer uses, as said reference system, an atlas of said body part.

19. An image evaluation system as claimed in claim 16 comprising an imaging system that generates said reference system by obtaining an image of an example subject, other than said subject.

20. An image evaluation system as claimed in claim 16 wherein said computer determines said interdependency by electronic comparison of characteristic anatomical landmarks in said image data set and in said reference system.

21. An image evaluation system as claimed in claim 16 wherein said computer determines said independency by automatically comparing intensity distributions in said image data set and in said reference system.

22. An image evaluation system as claimed in claim 16 wherein said computer establishes said defined image evaluation steps dependent on a medical question.

23. An image evaluation system as claimed in claim 15 wherein said computer mathematically defines said interdependency with a transformation selected from the group consisting of affine transformations, rigid transformations, and non-linear transformations.

24. An image evaluation system as claimed in claim 15 comprising an input unit connected to said computer allowing said image evaluation steps to be defined at said reference system as script-like instructions.

25. An image evaluation system as claimed in claim 15 comprising an input unit connected to said computer allowing said image evaluation steps to be defined at said reference system by manual interaction of a user with said reference system.

26. An image evaluation system as claimed in claim 15 comprising an input unit connected to said computer allowing modification of said image evaluation steps by manually entering parameters into said reference system.

27. An image evaluation system as claimed in claim 15 wherein said computer employs a 3D volume data set as said image data set.

28. An image evaluation system as claimed in claim 27 comprising an imaging modality selected from the group consisting of computed tomography apparatuses and magnetic resonance tomography apparatuses that acquires said 3D volume data set.