Method and device for analysis of three-dimensional digital image data

• US 20060257007A1
• Filed: 04/14/2006
• Published: 11/16/2006
• Est. Priority Date: 04/14/2005
• Status: Abandoned Application

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: Haider, Sultan, Bartsch, Ernst
• Application Number:
  US11/404,151
• Publication Number:
  US 20060257007A1
• Time in Patent Office: Days
• US Class Current: 382/128
• CPC Class Codes: A61B 6/03 Computed tomography [CT] echo-tomography A61B8/14
• CPC Class Codes: A61B 6/5235 combining images from the same or different ionising radiation imaging techniques, e.g. PET and CT
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

In a method and device for analysis of three-dimensional digital image datasets, a number of various subjects are merged and are mutually processed multiple times, such that at least one respective significant region associated with a diagnosis method is sought within the image data by means of a number of diagnosis methods of various types that are provided and this at least one significant region is identified and, if applicable, output.

Claims

1. A method for analyzing at least one three-dimensional digital medical image dataset, comprising the steps of:

obtaining digital medical image data from a number of subjects;

merging said image data from the respective subjects to obtain a three-dimensional digital image dataset;

electronically analyzing said three-dimensional digital image dataset multiple times with regard to a number of medical electronic diagnosis methods to identify at least one significant anatomical region, applicable for diagnosis by at least one of said electronic medical diagnosis methods; and

making data corresponding to said at least one significant region, from said three-dimensional digital image dataset, available as an output.

2. A method as claimed in claim 1 comprising making said data representing said at least one significant region available for automatically electronically conducting the diagnosis method that caused said at least one significant region to be identified.

3. A method as claimed in claim 1 comprising analyzing said three-dimensional digital image dataset with a predetermined arrangement selected from the group consisting of a designated sequence, a chronological order, and a combination, of said number of electronic diagnosis methods.

4. A method as claimed in claim 1 comprising identifying multiple significant regions respectively associated with different ones of said number of electronic medical diagnosis methods, and making data respectively representing said multiple significant regions available in said output, and respectively implementing the electronic diagnosis method, that caused each of said multiple significant regions to be identified, on the respective significant regions.

5. A method as claimed in claim 4 comprising, after identifying a first of said multiple significant regions, automatically activating a sequence of additional ones of said number of electronic medical diagnosis methods for analyzing said three-dimensional digital image dataset.

6. A method as claimed in claim 5 comprising automatically activating execution of a further sequence of further ones of said electronic medical diagnosis methods.

7. A method as claimed in claim 6 comprising manually activating said further sequence.

8. A method as claimed in claim 5 comprising manually activating said sequence.

9. A method as claimed in claim 6 comprising executing said sequence and said further sequence in an order selected from the group consisting of chronologically, in parallel, and serially.

10. A method as claimed in claim 1 comprising segmenting and measuring said at least one significant region.

11. A method as claimed in claim 1 comprising, in said output, emphasizing said at least one significant region by an emphasis technique selected from the group consisting of marking, coloring, and enlarging.

12. A method as claimed in claim 1 wherein the step of analyzing said three-dimensional image dataset comprises analyzing said three-dimensional image dataset to search for an image subject within said at least one significant region.

13. A method as claimed in claim 12 comprising selecting said subject from the group consisting of volume, geometrical arrangement, shape, contour, and center of mass.

14. A method as claimed in claim 1 comprising obtaining said image data from different regions of a single examination subject.

15. A device for analyzing at least one three-dimensional digital medical image dataset, comprising:

data sources for obtaining digital medical image data from a number of subjects;

a processing for merging said image data from the respective subjects to obtain a three-dimensional digital image dataset;

a selection unit for electronically analyzing said three-dimensional digital image dataset multiple times with regard to a number of medical electronic diagnosis methods to identify at least one significant anatomical region, applicable for diagnosis by at least one of said electronic medical diagnosis methods; and

an output unit, connected to said selection unit, making data corresponding to said at least one significant region, from said three-dimensional digital image dataset, available as an output.

16. A device as claimed in claim 15 wherein said selection unit analyzes said three-dimensional digital image dataset with a predetermined arrangement selected from the group consisting of a designated sequence, a chronological order, and a combination, of said number of electronic diagnosis methods.

17. A device as claimed in claim 15 comprising a plurality of medical diagnosis systems, and wherein said output unit make said data representing said at least one significant region available to at lease one of said medical diagnosis systems for automatically electronically conducting the diagnosis method that caused said at least one significant region to be identified.

18. A storage medium encoded with computer-readable data, loadable into a computerized selection unit for analyzing digital medical image data obtained from a number of subjects and merged into at least one three-dimensional digital medical image dataset, by causing said selection unit to:

electronically analyze said three-dimensional digital image dataset multiple times with regard to a number of medical electronic diagnosis methods to identify at least one significant anatomical region, applicable for diagnosis by at least one of said electronic medical diagnosis methods; and

make data corresponding to said at least one significant region, from said three-dimensional digital image dataset, available as an output.