Method and apparatus of lesion detection and validation based on multiple reviews of a CT image

• US 6,597,762 B1
• Filed: 11/27/2002
• Issued: 07/22/2003
• Est. Priority Date: 11/27/2002
• Status: Expired due to Term

• 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: Avila, Ricardo S., Sirohey, Saad A., Heckel, Beth A., Ferrant, Matthieu D., Audet, Mirelle, Jones, Cheryl R., Karau, Kelly L.
• Primary Examiner(s): BRUCE, DAVID VERNON
• Application Number:
  US10/065,900
• Time in Patent Office: 237 Days
• Field of Search: 378/8, 378/37, 378/62, 378/901
• US Class Current: 378/62
• CPC Class Codes: A61B 6/032 Transmission computed tomography [CT]
• CPC Class Codes: A61B 6/465 adapted to display user selection data, e.g. graphical user interface, icons or menus
• CPC Class Codes: A61B 6/467 characterised by special input means
• CPC Class Codes: G06T 2207/30061 Lung
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: Y10S 378/901 Computer tomography program or processor

Abstract

An object detection apparatus includes a data acquisition system configured to acquire diagnostic data of the subject, an image reconstructor configured to reconstruct at least one image of the subject from the diagnostic data, and a data retrieval device configured to retrieve a first set of bookmarks identifying a first set of objects of interest in the at least one image. The object detection apparatus further includes a computer programmed to display the at least one image on a console and detect input from the user corresponding to a second set of bookmarks identifying a second set of objects of interest in the image. The computer is further programmed to selectively allow the user to incorporate each bookmark of the first set of bookmarks into the second set of bookmarks.

Claims

1. An object detection apparatus comprising:

a DAS configured to acquire diagnostic data of a subject;

an image reconstructor configured to reconstruct at least one image of the subject from the diagnostic data;

a data retrieval device configured to retrieve a first set of bookmarks identifying a first set of objects of interest in an image; and

a computer programmed to;

display the image on a console;

detect inputs from a user corresponding to a second set of bookmarks identifying a second set of objects of interest in the image; and

selectively incorporate each bookmark of the first set into the second set of bookmarks.

2. The object detection apparatus of claim 1 wherein the computer is further programmed to prompt a user to one of accept and reject each of the first set of bookmarks.

3. The object detection apparatus of claim 2 wherein the computer is further programmed to compile a final set of bookmarks based on the second set of bookmarks and the accepted bookmarks of the first set of bookmarks.

4. The object detection apparatus of claim 3 wherein the final set of bookmarks correspond to anomalies in the image.

5. The object detection apparatus of claim 4 wherein the anomalies include lesions in an anatomical region of a medical patient.

6. The object detection apparatus of claim 5 wherein the anatomical region includes a lung region of the medical patient.

7. The object detection apparatus of claim 1 wherein the computer is further programmed to:

display the first set of bookmarks and the second set of bookmarks; and

color differentiate the first set of bookmarks from the second set of bookmarks.

8. The object detection apparatus of claim 1 wherein the computer is further programmed to display the first set of bookmarks and the second set of bookmarks and assign a unique shape to one of the sets to visually differentiate between the sets of bookmarks.

9. The object detection apparatus of claim 1 wherein the computer is further programmed to automatically determine duplicates between the first set of bookmarks and the second set of bookmarks.

10. The object detection apparatus of claim 1 incorporated into a radiation based imaging system.

11. The object detection apparatus of claim 9 wherein the radiation based imaging system includes a CT system.

12. A computer readable storage medium having a computer program for determining similarities and differences between separate examinations of a diagnostic image stored thereon and includes a set of instructions that when executed by a computer causes the computer to:

access imaging data from a DAS;

display an image of a subject from the imaging data for examination;

bookmark a primary set of objects of interest based on a set of inputs from a user;

access from memory bookmarks for a secondary set of objects of interest from a separate examination of the image;

prompt the user to selectively accept each of the secondary set of objects of interest; and

generate a final set of objects of interest from the primary set of objects of interest and the accepted objects of interest from the secondary set of objects of interest.

13. The computer readable storage medium of claim 12 wherein the secondary examination of the image includes a review of the image by a secondary radiologist.

14. The computer readable storage medium of claim 12 wherein the set of instructions further causes the computer to:

display a copy of the image to another user; and

bookmark the secondary set of objects of interest based on a set of inputs from the another user.

15. The computer readable storage medium of claim 12 wherein the set of instructions further causes the computer to display a GUI with the image in a portion of the GUI and a navigation tool in another portion, the navigation tool configured to enable the user to view each of the primary and the secondary sets of objects of interest.

16. The computer readable storage medium of claim 15 wherein the set of instructions further causes the computer to visually differentiate the primary set of objects of interest and the secondary set of objects of interest from one another by color.

17. The computer readable storage medium of claim 15 wherein the set of instructions further causes the computer to visually differentiate the primary set of objects of interest and the secondary set of objects of interest from one another by shape.

18. The computer readable storage medium of claim 12 wherein the set of instructions further causes the computer to display at least one of an oblique, an axial, a coronal, and a sagittal view of the subject.

19. A method of determining lesion presence in an image of a subject, the method comprising the steps of:

reviewing a diagnostic image of a subject;

identifying a first set of lesions in the diagnostic image;

bookmarking the first set of lesions;

retrieving bookmarks corresponding to a second set of lesions identified in a

separate review of the diagnostic image;

navigating through the bookmarks for the second set of lesions;

selectively incorporating bookmarks from the second set of lesions with

bookmarks from the first set of lesions; and

generating a final set of bookmarks corresponding to a final set of lesions believed to be present in the diagnostic image.

20. The method of claim 19 further comprising the step of differentiating between the first set of bookmarks and the second set of bookmarks by color.

21. The method of claim 20 further comprising the step of changing the color of a bookmark from the second set to the color of the first set if a corresponding lesion is selected to be incorporated into the first set of bookmarks.

22. The method of claim 19 further comprising the step of differentiating between the first set of bookmarks and the second set of bookmarks by shape.

23. The method of claim 22 further comprising the step of changing the shape of a bookmark from the second set to the shape of the first set if a corresponding lesion is selected to be incorporated into the first set of bookmarks.

24. The method of claim 19 wherein the diagnostic image includes an image from a lung area of the subject.

25. The method of claim 19 wherein the bookmarks for the second set of lesions are automatically generated with a computer aided detection system.

26. A lesion detection tool comprising:

means for assigning bookmarks to a first set of lesions in a diagnostic image;

means for retrieving bookmarks for a second set of lesions identified in a

separate review of the diagnostic image; and

means for selectively incorporating bookmarks from the second set of lesions into the bookmarks for the first set of lesions.