SYSTEMS AND METHODS FOR DETERMINING A LOCATION OF A LESION IN A BREAST

• US 20110268339A1
• Filed: 04/30/2010
• Published: 11/03/2011
• Est. Priority Date: 04/30/2010
• Status: Abandoned Application

• Current Assignee: GE Medical Systems Israel, Ltd
• Original Assignee: GE Medical Systems Israel, Ltd
• Inventors: Blevis, Ira, Hefetz, Yaron, Volokh, Lana
• Application Number:
  US12/771,987
• Publication Number:
  US 20110268339A1
• Time in Patent Office: Days
• US Class Current: 382/132
• CPC Class Codes: A61B 6/502 for diagnosis of breast, i.e. mammography
• CPC Class Codes: A61B 90/37 Surgical systems with images on a monitor during operation
• CPC Class Codes: G06T 2207/10081 Computed x-ray tomography [CT]
• CPC Class Codes: G06T 2207/30068 Mammography; Breast
• CPC Class Codes: G06T 2207/30096 Tumor; Lesion
• CPC Class Codes: G06T 7/0012 Biomedical image inspection

Abstract

A system and method for determining an existence, uptake, size and location of a lesion within a breast is provided. The system includes a first detector and a second detector. The breast is positioned between the first detector and the second detector. The first detector acquires a first image data set of the lesion and the second detector acquires a second image data set of the lesion. The system also includes a existence, uptake, size and location determining program that uses the first image data set and the second image data set to calculate existence, uptake, size and location information for the lesion and determines a existence, uptake, size and location of the lesion within the breast based on the calculated existence, uptake, size and location information.

Claims

1. A method for determining a location of a lesion within a breast imaged between a first detector and a second detector, said method comprising:

acquiring a first image data set of the lesion with the first detector;

acquiring a second image data set of the lesion with the second detector, the first and second image data sets including nuclear single photon imaging information;

using the first image data set and the second image data set to calculate location information for the lesion; and

determining a location of the lesion within the breast based on the calculated location information.

2. A method in accordance with claim 1, wherein the determining operation further comprises weighting a plurality of location information to determine the location of the lesion within the breast.

3. A method in accordance with claim 1 wherein determining a location of the lesion further comprises determining the location of the lesion using pixel to pixel head registration.

4. A method in accordance with claim 1 further comprising analyzing the first image data set and the second image data set using a uniform sphere lesion model placed within a region of interest believed to contain a lesion.

5. A method in accordance with claim 1, wherein:

the calculated location information includes a number of events detected by the first detector and a number of events detected by the second detector; and

said determining operation further comprises comparing the number of events detected by the first detector to the number of events detected by the second detector.

6. A method in accordance with claim 1, wherein:

the calculated location information includes a lesion profile for a shape of the lesion detected by the first detector and a lesion profile for a shape of the lesion detected by the second detector; and

said determining operation further comprises comparing the lesion profile detected by the first detector to the lesion profile detected by the second detector.

7. A method in accordance with claim 1, wherein:

the calculated location information includes a number of events detected by the first detector and a lesion profile for a shape of the lesion detected by the first detector;

the calculated location information further includes a number of events detected by the second detector and a lesion profile for a shape of the lesion detected by the second detector; and

said determining operation further comprises comparing the number of events detected by the first detector to the number of events detected by the second detector, and comparing the lesion profile detected by the first detector to the lesion profile detected by the second detector.

8. A method in accordance with claim 1, wherein:

the calculated location information includes a linear iteration of the first image data set and a linear iteration of the second image data set; and

said determining operation further comprises comparing the linear iteration of the first image data set to the linear iteration of the second image data set.

9. A system for determining a location of a lesion within a breast, said system comprising:

a first detector and a second detector, the breast positioned between said first detector and said second detector, said first detector acquires a first image data set of the lesion and said second detector acquires a second image data set of the lesion; and

a location determining module that uses the first image data set and the second image data set to calculate location information for the lesion and determines a location of the lesion within the breast based on the calculated location information.

10. A system in accordance with claim 9, wherein said location determining module is positioned within said system.

11. A system in accordance with claim 9, wherein said location determining module is embodied on a computer readable medium that is readable by said system.

12. A system in accordance with claim 9, wherein said first detector and said second detector are two-dimensional detectors.

13. A system in accordance with claim 9, wherein said first detector is parallel to said second detector.

14. A method of determining a location of a lesion within a breast, said method comprising:

acquiring image data of a lesion using nuclear single photon imaging;

calculating a plurality of location information for the lesion using the acquired image data; and

weighting the plurality of location information to determine a location of the lesion within the breast.

15. A method in accordance with claim 14 further comprising subtracting a background from the image data.

16. A method in accordance with claim 14 further comprising analyzing the image data set using a uniform sphere lesion model placed within a region of interest believed to contain a lesion.

17. A method in accordance with claim 14, wherein said calculating operation further comprises calculating the location information based on a number of events acquired in the image data.

18. A method in accordance with claim 14, wherein said calculating operation further comprises calculating the location information based on a lesion profile of the image data.

19. A method in accordance with claim 14, wherein said calculating operation further comprises calculating the location information based on a number of events acquired in the image data and a lesion profile of the image data.

20. A method in accordance with claim 14, wherein said calculating operation further comprises calculating the location information based on a linear iteration of the image data.