Computer aided processing of medical images

• US 20040068167A1
• Filed: 09/13/2002
• Published: 04/08/2004
• Est. Priority Date: 09/13/2002
• Status: Abandoned Application

• Current Assignee: GE Medical Systems Global Technology Company LLC (GE Healthcare Technologies, Inc.)
• Original Assignee: GE Medical Systems Global Technology Company LLC (GE Healthcare Technologies, Inc.)
• Inventors: Bulkes, Cherik, Hsieh, Jiang, Avinash, Gopal B., Sabol, John M.
• Application Number:
  US10/243,057
• Publication Number:
  US 20040068167A1
• Time in Patent Office: Days
• US Class Current: 600/407
• CPC Class Codes: G06T 7/0012 Biomedical image inspection

Abstract

The present technique provides a method and system for generating and processing image data based upon analysis of an initial image by a computer aided diagnosis (CAD) algorithm. The CAD algorithm may perform various types of analysis, including segmentation, edge and structure identification. The post-processing may enhance the view of a feature of interest in the image as identified by the CAD analysis. Further processing of the image data may be performed to further enhance the image. Image enhancement may include highlighting the feature of interest, changing the spatial resolution (e.g. zooming in or out) of the reconstructed image, and so forth.

Claims

1. A method for processing an image generated by an imaging system comprising:

(a) accessing image data;

(b) processing the image data via a computer aided diagnosis algorithm to identify a feature of interest in the image data; and

(c) automatically generating an image based upon the identification performed in step (b).

2. The method as in claim 1, wherein the image is generated by post-processing of at least a portion of the image data.

3. The method as in claim 1, wherein the image is generated by reconstructing at least a portion of the image data.

4. The method as in claim 1, wherein the image is generated by post-processing at least a portion of the image data based upon features of interest identified by the computer aided diagnosis algorithm applied to the image data.

5. The method as in claim 1, wherein the act of accessing the image data comprises generating X-ray beams from an X-ray source directed at the detector through the subject of interest.

6. The method as in claim 1, wherein the data is accessed by reading out the array of pixels.

7. The method as in claim 3, wherein the data is stored in a data acquisition system.

8. The method as in claim 1, wherein processing the image data comprises using the computer aided detection algorithm to highlight pathology sites.

9. The method as in claim 1, wherein the image comprises a magnified view of a selection region of a first image.

10. The method as in claim 1, further comprising processing a plurality of images received by at least one alternative imaging system.

11. The method as in claim 1, wherein the computer aided diagnosis algorithm processes a plurality of first images and the image is generated based upon analysis of more than one first image.

12. The method as in claim 1, wherein the imaging system is a computed tomography imaging system.

13. The method as in claim 1, wherein the imaging system is a projection X-ray radiography imaging system.

14. The method as in claim 1, wherein the imaging system is operated by an operator control system.

15. An imaging system comprising:

a source of radiation for producing X-ray beams directed at a subject of interest;

a detector adapted to detect the X-ray beams; and

a computer system configured to access image data detected by the detector, the computer adapted to generate first image data for a first image from the detected data, to execute a CAD algorithm on the first image data, and automatically to generate a second image based upon the CAD algorithm.

16. The imaging system as in claim 15, wherein the computer system is configured to generate the second image by post-processing the first image data.

17. The imaging system as in claim 15, wherein the computer system is configured to generate the second image based upon reconstruction of at least a portion of the first image data comprising the first image.

18. The imaging system as in claim 15, wherein the computer system is configured to generate the second image by post-processing at least a portion of the first image data based upon the features of interest identified by the CAD algorithm as applied to the first image data.

19. The imaging system as in claim 15, the detector is adapted to read out data of pixels to reconstruct the first image of the subject of interest.

20. The imaging system as in claim 15, wherein the CAD algorithm identifies the feature of interest via segmentation, edge identification or structure identification.

21. The imaging system as in claim 20, wherein the computer system receives additional data from an alternative imaging system.

22. The imaging system as in claim 21, wherein the computer system processes the additional data and the collected image data to generate a third image.

23. The imaging system as in claim 16, wherein the post-processing provides a spatial resolution different from that of initial processing on the first image.

24. The imaging system as in claim 15, the computer system is configured to execute CAD algorithms on each of a series of subsequently processed images.

25. The imaging system as in claim 15, wherein the imaging system includes a computed tomography scanner.

26. A tangible medium for processing a plurality of images comprising:

a routine for generating a first image of a subject of interest based upon image data;

a routine for processing the image data using a CAD algorithm adapted to identify specific regions of the first image;

a routine for generating a second image based on the first image and upon the regions identified in the first image.

27. The tangible medium as recited in claim 26, further comprising a routine for processing the second series of images using a CAD algorithm.

28. The tangible medium as recited in claim 26, wherein the routine for generating the first image comprises a routine for exposing a subject of interest to X-ray beams and for receiving and processing portions of the X-ray beams received by a detector.

29. The tangible medium as recited in claim 28, wherein the detector comprises a plurality of pixels configured to generate data for reconstructing the first image.

30. The tangible medium as recited in claim 26, wherein the routine for processing the image data comprises performing segmentation, edge identification or structure identification based upon the image data.

31. The tangible medium as recited in claim 26, further comprising a routine for acquiring additional image data based upon analysis performed by the CAD algorithm.

32. The tangible medium as recited in claim 31, further comprising a routine for processing the additional image data in accordance with a CAD algorithm.

33. The tangible medium as recited in claim 32, wherein the routine for processing the additional image data comprises identifying different features of interest in the additional image data.

34. A system for processing an image generated by an imaging system comprising:

(a) means for accessing first image data comprising a first image;

(b) means for processing the first image data via a computer aided diagnosis algorithm to identify a feature of interest in the first image; and

(c) means for automatically generating a second image based upon the identification performed in step (b).

35. The system as in claim 34, wherein the means for collecting the first image data comprises means for generating X-ray beams from an X-ray source directed at the detector through the subject of interest and means for measuring X-ray radiation traversing the subject of interest.

36. The system as in claim 34, wherein the CAD algorithm performs segmentation, edge identification or structure identification.

37. The system as in claim 34, wherein the means for collecting first image data includes a CT imaging system.

38. The system as in claim 34, wherein the means for processing the first image data identifies a potential anatomical anomaly in the first image.

39. The system as in claim 34, wherein the means for generating the second image is configured to change the spatial resolution of at least a portion of the first image.