System and method for reducing data transmission volume in tomosynthesis

• US 9,940,738 B2
• Filed: 01/09/2014
• Issued: 04/10/2018
• Est. Priority Date: 01/10/2013
• Status: Active Grant

• Current Assignee: Hologic Incorporated
• Original Assignee: Hologic Incorporated
• Inventors: Marshall, Julian
• Primary Examiner(s): Bella, Matthew
• Assistant Examiner(s): SHIN, BRIAN D
• Application Number:
  US14/760,035
• Publication Number:
  US 20150356757A1
• Time in Patent Office: 1,552 Days
• Field of Search: None
• CPC Class Codes: A61B 6/025 Tomosynthesis
• CPC Class Codes: A61B 6/463 characterised by displaying multiple images or images and diagnostic data on one display
• CPC Class Codes: A61B 6/469 for selecting a region of interest [ROI]
• CPC Class Codes: A61B 6/502 for diagnosis of breast, i.e. mammography
• CPC Class Codes: A61B 6/5211 involving processing of medical diagnostic data
• CPC Class Codes: A61B 6/5217 extracting a diagnostic or physiological parameter from medical diagnostic data
• CPC Class Codes: A61B 6/5223 generating planar views from image data, e.g. extracting a coronal view from a 3D image
• CPC Class Codes: A61B 6/563 involving image data transmission via a network
• CPC Class Codes: G06T 11/006 Inverse problem, transformation from projection-space into object-space, e.g. transform methods, back-projection, algebraic methods
• CPC Class Codes: G06T 15/08 Volume rendering
• CPC Class Codes: G06T 2200/04 involving 3D image data
• CPC Class Codes: G06T 2207/30068 Mammography; Breast
• CPC Class Codes: G06T 2207/30196 Human being; Person
• CPC Class Codes: G06T 2210/41 Medical
• CPC Class Codes: G06T 2211/436 Limited angle
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A method for processing and communicating breast tissue image data includes obtaining image data of a patient'"'"'s breast tissue, processing the image data to form a first subset thereof, transmitting the first subset of the image data to a user computer, receiving a user request from the user computer based on the one or more lower resolution images, processing the image data to form a second subset thereof, and transmitting the second subset of the image data to the user computer. The second subset of the obtained image data is responsive to the user request. The first and second subsets of obtained image data are sufficient to generate one or more respective lower and higher resolution images of respective portions of the patient'"'"'s breast tissue.

Claims

1. A method for processing and communicating breast tissue image data, comprising:

obtaining image data of a patient'"'"'s breast tissue, the obtained image data having an acquired image resolution;

processing the image data to form a first subset thereof, wherein the first subset of image data is configured to generate one or more lower resolution images of at least a portion of the patient'"'"'s breast tissue, the one or more lower resolution images having a resolution lower than the acquired image resolution;

transmitting the first subset of the image data to a user computer;

receiving, from the user computer, a user request for higher resolution images of the patient'"'"'s breast tissue that include a user identified feature, object or region in the one or more lower resolution images;

in response to the received user request, further processing the image data to form a second subset thereof, wherein the second subset of the image data is configured to generate one or more higher resolution images of the patient'"'"'s breast tissue that include the user identified feature, object or region, the one or more higher resolution images having a resolution that is higher than the resolution of the one or more lower resolution images; and

transmitting the second subset of the image data to the user computer.

2. The method of claim 1, wherein the image data comprises acquired or synthesized X,Y coordinate slices at differing z axis locations of the patient'"'"'s breast.

3. The method of claim 1, wherein a resolution of the one or more lower resolution images is sufficient to detect a potential abnormality or a region of interest in the patient'"'"'s breast tissue.

4. The method of claim 1, wherein a resolution of the one or more higher resolution images is sufficient to characterize a potential abnormality or a region of interest in the patient'"'"'s breast tissue.

5. The method of claim 1, wherein the resolution of the one or more higher resolution images is in the range of 50 microns to 85 microns.

6. The method of claim 5, wherein the resolution of the one or more higher resolution images is 70 microns.

7. The method of claim 1, wherein the resolution of the one or more higher resolution images is 1.5 times to 5 times the image resolution of the one or more lower resolution images.

8. The method of claim 7, wherein the resolution of the one or more higher resolution images is double the image resolution of the one or more lower resolution images.

9. The method of claim 1, wherein the image data comprises one or more images selected from a group consisting of tomosynthesis projection images, tomosynthesis reconstruction slices, mammography images, contrast enhanced mammography images, synthesized 2D images, and combinations thereof.

10. The method of claim 1, wherein the one or more low resolution images have a characteristic different from the characteristic of the one or more high resolution images, and wherein the characteristic is selected from the group consisting of slice thickness, pitch, yaw, and tilt.

11. A method for processing and communicating breast tissue image data, comprising:

acquiring image data of a patient'"'"'s breast tissue at an acquired image resolution;

processing the acquired image data to form a first subset thereof, wherein the first subset of the acquired image data is configured to generate one or more lower resolution images of at least a portion of the patient'"'"'s breast tissue, the one or more lower resolution images having a resolution lower than the acquired image resolution;

transmitting the first subset of the acquired image data to a user computer;

receiving, from the user computer, a user request for one or more higher resolution images corresponding to one or more of the one or more lower resolution images;

in response to the received user request, processing the acquired image data to form a second subset thereof, wherein the second subset of the acquired image data is configured to generate the requested one or more higher resolution images, the one or more higher resolution images having a resolution that is higher than the resolution of the one or more lower resolution images but not higher than the acquired image resolution; and

transmitting the second subset of the image data to the user computer.

12. The method of claim 11, wherein the acquired image data comprises X,Y coordinate slices at differing z axis locations of the patient'"'"'s breast.

13. The method of claim 11, wherein a resolution of the one or more lower resolution images is sufficient to detect a potential abnormality or a region of interest in the patient'"'"'s breast tissue.

14. The method of claim 11, wherein a resolution of the one or more higher resolution images is sufficient to characterize a potential abnormality or a region of interest in the patient'"'"'s breast tissue.

15. The method of claim 11, wherein the resolution of the one or more higher resolution images is in the range of 50 microns to 85 microns.

16. The method of claim 11, wherein the resolution of the one or more higher resolution images is 70 microns.

17. The method of claim 11, wherein the resolution of the one or more higher resolution images is 1.5 times to 5 times the image resolution of the one or more lower resolution images.

18. The method of claim 11, wherein the resolution of the one or more higher resolution images is double the image resolution of the one or more lower resolution images.

19. The method of claim 11, wherein the image data comprises one or more images selected from a group consisting of tomosynthesis projection images, tomosynthesis reconstruction slices, mammography images, contrast enhanced mammography images, synthesized 2D images, and combinations thereof.

20. The method of claim 11, wherein the one or more low resolution images have a characteristic different from the characteristic of the one or more high resolution images, and wherein the characteristic is selected from the group consisting of slice thickness, pitch, yaw, and tilt.

21. A method for processing and communicating breast tissue image data, comprising:

obtaining image data of a patient'"'"'s breast tissue, the obtained image data having an acquired image resolution;

processing the image data of the patient'"'"'s breast tissue to form a first subset thereof, wherein the first subset of image data is configured to generate one or more lower resolution images of at least a portion of the patient'"'"'s breast tissue in which a feature, object or region is automatically highlighted, the one or more lower resolution images having a resolution lower than the acquired image resolution;

transmitting the first subset of the image data to a user computer;

receiving, from the user computer, a user request for higher resolution images of the patient'"'"'s breast tissue that include the automatically highlighted feature, object or region;

in response to the received user request, processing the image data of the patient'"'"'s breast tissue to form a second subset thereof, wherein the second subset of the image data is configured to generate one or more higher resolution images of the patient'"'"'s breast tissue that include the automatically highlighted feature, object or region, the one or more higher resolution images having a resolution that is higher than the resolution of the one or more lower resolution images; and

transmitting the second subset of the image data to the user computer.

22. The method of claim 21, wherein the acquired image data comprises X,Y coordinate slices at differing z axis locations of the patient'"'"'s breast.

23. The method of claim 21, wherein a resolution of the one or more lower resolution images is sufficient to detect a potential abnormality or a region of interest in the patient'"'"'s breast tissue.

24. The method of claim 21, wherein a resolution of the one or more higher resolution images is sufficient to characterize a potential abnormality or a region of interest in the patient'"'"'s breast tissue.

25. The method of claim 21, wherein the resolution of the one or more higher resolution images is in the range of 50 microns to 85 microns.

26. The method of claim 21, wherein the resolution of the one or more higher resolution images is 70 microns.

27. The method of claim 21, wherein the resolution of the one or more higher resolution images is 1.5 times to 5 times the image resolution of the one or more lower resolution images.

28. The method of claim 21, wherein the resolution of the one or more higher resolution images is double the image resolution of the one or more lower resolution images.

29. The method of claim 21, wherein the image data comprises one or more images selected from a group consisting of tomosynthesis projection images, tomosynthesis reconstruction slices, mammography images, contrast enhanced mammography images, synthesized 2D images, and combinations thereof.

30. The method of claim 21, wherein the one or more low resolution images have a characteristic different from the characteristic of the one or more high resolution images, and wherein the characteristic is selected from the group consisting of slice thickness, pitch, yaw, and tilt.