System and method for generating and displaying tomosynthesis image slabs
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.
1. A system for processing breast tissue images, comprising:
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,
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, 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, wherein the respective 2D synthesized image does not correspond to an image that was acquired during imaging of the breast tissue.
2. The system of claim 1 , further comprising at least one image display monitor, wherein the image processing computer is further configured to cause to be displayed on a same or different display monitor of the one or more display monitors one or more image slabs of the generated set of image slabs.
3. The system of claim 1 , wherein the image processing computer is configured to generate each image slab of the set from a predetermined number of successive reconstructed image slices, wherein adjacent image slabs of the set include a predetermined overlap number of successive reconstructed image slices.
4. The system of claim 1 , wherein the image processing computer is configured to generate each image slab of the set from a user inputted number of successive reconstructed image slices, wherein adjacent image slabs of the set include a user inputted overlap number of successive reconstructed image slices.
5. The system of claim 1 , wherein the respective image slabs are generated from six successive image slabs, and wherein adjacent image slabs of the set include an overlap of three successive reconstructed image slices.
6. The system of claim 1 , 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.
7. The system of claim 6 , wherein the enhancement mechanism is selected or modified based on a value corresponding to the number of reconstructed image slices from which the respective image slab is generated.
8. The system of claim 6 , 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 method for processing breast tissue image data, comprising:
obtaining 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; and
processing 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,
wherein each image slab is generated from a predetermined number of successive reconstructed image slices, and wherein adjacent image slabs of the set are generated from a predetermined overlap number of successive reconstructed image slices.
12. The method of claim 11 , wherein the predetermined number of successive reconstructed image slices and the predetermined overlap number of successive reconstructed image slices are both based upon user input.
13. The method of claim 11 , wherein the respective image slabs are generated from six successive image slabs, and wherein adjacent image slabs of the set include an overlap of three successive reconstructed image slices.
14. The method of claim 11 , wherein each image slab is generated using an enhancement mechanism that is selected or modified based on the number of reconstructed image slices from which the respective image slab is generated.
15. The method of claim 14 , wherein the enhancement mechanism is selected or modified based on a value corresponding to the number of reconstructed image slices from which the respective image slab is generated.
16. The method of claim 14 , wherein the enhancement mechanism comprises highlighting one or more objects or regions in one or more image slabs of the set.
17. The method 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. A method for processing breast tissue image data, comprising:
obtaining 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;
displaying a plurality of generated reconstructed image slices to a user;
receiving user input identifying a respective reconstructed image slice of the set; and
processing a subset of the reconstructed image slices to generate an image slab, the image slab comprising a synthesized 2D image of a portion of the breast tissue obtained from the subset of reconstructed image slices, wherein the subset of reconstructed image slices includes the respective user identified image slice.
19. The method of claim 18 , further comprising processing respective subsets of the reconstructed image slices to generate a user-inputted number of image slabs, each image slab comprising a synthesized 2D image of a portion of the breast tissue obtained from the respective subset of reconstructed image slices, wherein successive image slabs of the plurality are generated from a user inputted overlap of image slices.