System and method for navigating a tomosynthesis stack using synthesized image data
A system and method for displaying and navigating breast tissue is configured for or includes obtaining a plurality of 2D and/or 3D images of a patient's breast; generating a synthesized 2D image of the breast from the obtained images; displaying the synthesized 2D image; receiving a user command, or otherwise detecting through a user interface, a user selection or other indication of an object or region in the synthesized 2D image; and displaying at least a portion of one or more images from the plurality, including a source image and/or most similar representation of the user selected or indicated object or region.
1. A method for processing breast image data, the method comprising:
obtaining a plurality of images of a breast;
applying a CAD algorithm to each image of the plurality of images, wherein applying the CAD algorithm to each image comprises identifying a feature in a plurality of feature-containing images of the plurality of images;
assigning a weight to each image according to a desired visualization mode determined according to a target feature type, wherein the target feature type is one of a calcification or a mass;
generating a synthesized 2D mammography image of the breast, wherein the synthesized 2D mammography image comprises the feature in the plurality of feature-containing images;
displaying the synthesized 2D mammography image and a CAD overlay on the 2D synthesized image, wherein the CAD overlay comprises a CAD mark;
receiving a selection of the CAD mark; and
based on the selection, retrieving at least one feature-containing image of the plurality of feature-containing images associated with the selected CAD mark.
2. The method of claim 1 , wherein the CAD mark is obtained from at least one of a tomosynthesis image data and a 2D image data of the plurality of images of the breast.
3. The method of claim 1 , wherein the selected CAD mark is associated with at least one feature displayed in the synthesized 2D mammography image.
4. The method of claim 3 , wherein the retrieved at least one feature-containing image of the plurality of feature-containing images comprises a plurality of feature-containing images, wherein each of the plurality of retrieved feature-containing images contains the at least one feature.
5. The method of claim 4 , further comprising displaying the retrieved at least one feature-containing image.
6. The method of claim 4 , further comprising assigning at least one of a numerical value and a threshold to each of the plurality of feature-containing images.
7. The method of claim 6 , further comprising displaying a single image of the plurality of feature-containing images containing the at least one feature, wherein the displayed single image comprises a single feature-containing image of the plurality of feature-containing images having a predetermined weight determined according to the weight assigned.
8. The method of claim 7 , wherein the predetermined weight is a highest weight.
9. The method of claim 6 , further comprising displaying a single image of the plurality of feature-containing images containing the at least one feature, wherein the displayed single image comprises a single feature-containing image of the plurality of feature-containing images having a lowest visual noise.
10. A method for processing breast image data, the method comprising:
obtaining a plurality of images of a breast;
applying a CAD algorithm to each image of the plurality of images, wherein applying the CAD algorithm to each image comprises identifying a plurality of features in a plurality of feature-containing images of the plurality of images;
applying an assignment to each of the identified plurality of features, the assignment having a weight according to a desired visualization mode determined according to a target feature type, wherein the target feature type is one of a calcification or a mass;
generating a synthesized 2D mammography image of the breast wherein the synthesized 2D mammography image comprises the identified plurality of features;
displaying the synthesized 2D mammography image;
highlighting with a first highlight a first feature of the identified plurality of features based on the assignment of the first feature; and
highlighting with a second highlight a second feature of the identified plurality of features based on the assignment of the second feature.
11. The method of claim 10 , wherein the first highlight is different than the second highlight.
12. The method of claim 10 , wherein the assignment comprises at least one of a numerical value and a threshold.
13. The method of claim 10 , wherein the at least one of a numerical value, a weight, and a threshold comprises a maximum.
14. The method of claim 10 , wherein at least one of the first highlight and the second highlight comprises a contour line.
15. The method of claim 10 , wherein the first highlight comprises a boundary of the first feature.
16. The method of claim 10 , wherein at least one of the first highlight and the second highlight comprises a geometric shape.
17. The method of claim 10 , wherein at least one of the first highlight and the second highlight is associated with a particular tissue structure.
18. The method of claim 10 , further comprising receiving a selection of the first highlight.
19. The method of claim 18 , further comprising displaying at least one of the plurality of feature-containing images based on the selection.