Hologic, Inc.

Herschel A Solis

Calvin J Wong

Edgar W Chen

Brian Albert Garfinkel

Nikolaos A Gkanatsios

Brian T Matuska

Jessica Luu

Stewart Schiffman

Yung-Min Chen

Examples of the present disclosure describe systems and methods for an auto-focus tool for multimodality image review. In aspects, an image review system may provide for the display of a set of medical images representing one or more imaging modalities. The system may also provide an auto-focus tool that may be used during the review of the set of medical images. After receiving an instruction to activate the auto-focus tool, the system may receive a selection of an ROI in at least one of the images in the set of medical images. The auto-focus tool may identify the location of the ROI within the image and use the identified ROI location to identify a corresponding area or ROI in the remaining set of medical images. The auto-focus tool may orient and display the remaining set of medical images such that the identified area or ROI is prominently displayed.

Auto-focus tool for multimodality image review

Breast image analysis systems and computer-implemented method for snip-triggered digital image report generation. An image review workstation of breast image analysis system presents an interactive user interface including a currently displayed image to a user through a display. Image review station receives user input selecting a snipping application of interactive user interface and activating a snipping application. A portion of currently displayed image is selected by execution of snipping application, and in response, image review workstation accesses a data store of acquired image files, identifies an acquired image file associated with currently displayed image, and generates a digital image report comprising the selected portion of the currently displayed image and selected metadata of the identified acquired image file and may also include user annotations such as spoken remarks and measurements and system generated data.

Snip-triggered digital image report generation

Systems and methods for generating and using a customized hanging protocol for the display of medical images. The methods may include receiving an indication to create a first hanging step of the hanging protocol, displaying a workspace having a plurality of viewports for displaying medical images, and displaying a plurality of building blocks corresponding to different types of medical images. The method may also include receiving a selection of a first building block in the plurality of building blocks, wherein the first building block corresponds to a first type of medical image, and receiving an indication of a location in the workspace for the first building block to be placed. Based on the indication of the location in the workspace for the first building block, one or more of the plurality of viewports is filled with the first building block.

Customizable multimodality image hanging protocols

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Santa Clara, CA, United States of America

Herschel A Solis