System and method for generating and displaying tomosynthesis image slabs

• US 10,575,807 B2
• Filed: 09/26/2018
• Issued: 03/03/2020
• Est. Priority Date: 02/28/2014
• Status: Active Grant

• Current Assignee: Hologic Incorporated
• Original Assignee: Hologic Incorporated
• Inventors: Gkanatsios, Nikolaos, Chui, Haili, Zhang, Xiangwei
• Primary Examiner(s): Akhavannik, Hadi
• Application Number:
  US16/143,181
• Publication Number:
  US 20190125286A1
• Time in Patent Office: 524 Days
• Field of Search: None
• CPC Class Codes: A61B 6/025 Tomosynthesis
• CPC Class Codes: A61B 6/502 for diagnosis of breast, i.e. mammography
• 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: G06T 11/008 Specific post-processing after tomographic reconstruction, e.g. voxelisation, metal artifact correction
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text
• CPC Class Codes: G06T 2207/10081 Computed x-ray tomography [CT]
• CPC Class Codes: G06T 2207/20021 Dividing image into blocks, subimages or windows
• CPC Class Codes: G06T 2207/20076 Probabilistic image processing
• CPC Class Codes: G06T 2207/30068 Mammography; Breast
• CPC Class Codes: G06T 2210/41 Medical

Abstract

A system for processing breast tissue images includes an image processing computer and a user interface operatively coupled to the image processing computer, wherein the image processing computer is configured to obtain image data of breast tissue, processing the image data to generate a set of reconstructed image slices, the reconstructed image slices collectively depicting the breast tissue, process respective subsets of the reconstructed image slices to generate a set of image slabs, each image slab comprising a synthesized 2D image of a portion of the breast tissue obtained from a respective subset of the set of reconstructed image slices.

Claims

1. A system for processing breast tissue images, comprising:

an image processing computer configured to

obtain image data of breast tissue,

process the image data to generate a set of reconstructed image slices, the reconstructed image slices collectively depicting the breast tissue, and

process respective subsets of the reconstructed image slices to generate a set of image slabs,

wherein each image slab of the set comprises comprising a synthesized 2D image of a portion of the breast tissue obtained from a respective subset of the set of reconstructed image slices,

wherein adjacent image slabs of the set include an overlap number of successive reconstructed image slices, and

wherein the respective 2D synthesized image of each image slab does not correspond to an image that was acquired during imaging of the breast tissue.

2. The system of claim 1, further comprising a user interface operatively coupled to the image processing computer, wherein the number of successive reconstructed image slices in the respective subsets is user inputted or based upon user input via the user interface.

3. The system of claim 1, wherein the number of successive reconstructed image slices in the respective subsets is automatically generated by the image processing computer without user input.

4. The system of claim 1, wherein the overlap number of successive reconstructed image slices is predetermined and stored in a memory operatively associated with the image processing computer.

5. The system of claim 1, further comprising a user interface operatively coupled to the image processing computer, wherein the overlap number of successive reconstructed image slices is user inputted or based upon user input via the user interface.

6. The system of claim 1, further comprising an image display monitor operatively coupled to the image processing computer, wherein the image processing computer is further configured to cause to be displayed on the image display monitor one or more image slabs of the generated set of image slabs.

7. The system of claim 1, wherein each image slab is generated using an enhancement mechanism that is selected or modified based on the number of successive reconstructed image slices from which the respective image slab is generated.

8. The system of claim 7, wherein the enhancement mechanism comprises highlighting one or more objects or regions in one or more image slabs of the set.

9. The system of claim 8, wherein the enhancement mechanism takes into account one or more of:

a binary map of the respective highlighted objects or regions;

a map of each image slice that includes a probability distribution for an identified pattern in the respective highlighted objects or regions; and

importing an identified object or region from an image slice of the respective subset of reconstructed images slices into the image slab, wherein the object or region is imported into the image slab at X, Y coordinate locations corresponding to X, Y coordinate locations of the object or region in the respective reconstructed image slice.

10. The system of claim 1, wherein the image processing computer is further configured to generate a storage file comprising the generated set of image slabs.

11. A system for processing breast tissue images, comprising:

an image processing computer configured to

obtain image data of breast tissue,

process the obtained image data to generate a set of reconstructed image slices, the reconstructed image slices collectively depicting the breast tissue, and

process respective subsets of the reconstructed image slices to generate a set of image slabs,

wherein each image slab comprises a synthesized 2D image of a portion of the breast tissue obtained from a respective subset,

wherein each image slab is generated using an enhancement mechanism that is selected or modified based on a number of reconstructed image slices from which the respective image slab is generated, and

wherein the respective 2D synthesized image of each image slab does not correspond to an image that was acquired during imaging of the breast tissue.

12. The system of claim 11, wherein the selected or modified enhancement mechanism comprises one or more weighing factors, including one or more of a coefficient, a value and a weight used to weigh a feature in a source image.

13. The system of claim 12, wherein the weighing factors are be predetermined and stored in a memory operatively associated with the image processing computer.

14. The system of claim 12, wherein a selection of features to be weighed in a source image is empirically generated or modified based on the number of reconstructed image slices from which the respective image slab is generated.

15. The system of claim 12, wherein a number of features in one or more source images are weighed or enhanced directly corresponds to the number of reconstructed image slices from which the respective image slab is generated.

16. The system of claim 12, wherein the enhancement mechanism comprises highlighting one or more objects or regions in one or more image slabs of the set.

17. The system of claim 16, wherein the enhancement mechanism takes into account one or more of:

a binary map of the respective highlighted objects or regions;

a map of each image slice that includes a probability distribution for an identified pattern in the respective highlighted objects or regions; and

importing an identified object or region from an image slice of the respective subset of reconstructed images slices into the image slab, wherein the object or region is imported into the image slab at X, Y coordinate locations corresponding to X, Y coordinate locations of the object or region in the respective reconstructed image slice.

18. The system of claim 11, wherein the image processing computer is further configured to generate a storage file comprising the generated set of image slabs.