Hologic, Inc.

Calvin J Wong

Nikolaos A Gkanatsios

John LaViola

Akshay Mani

Jessica Luu

Herschel A Solis

Venkateswara Vaddineni

Venkateswarma Vaddineni

Brian T Matuska

Edgar W Chen

Stewart Schiffman

Brian Albert Garfinkel

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

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

The technology relates to a methods and systems for improving medical imaging procedures. An example method includes receiving a first set of quality metrics for a plurality of medical images acquired at a first imaging facility; receiving a second set of quality metrics for a second plurality of medical images acquired at a second imaging facility; comparing the first set of quality metrics to the second set of quality metrics; based on the comparison of the first set of quality metrics to the second set of quality metrics, generating a benchmark for at least one metric in the first set of quality metrics and the second set of quality metrics; generating facility data based on the generated benchmark and the first set of quality metrics; and sending the facility data to the first imaging facility.

Image quality compliance tool

Electronic display screen with graphical user interface with patient orientation element

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Fremont, CA, United States of America

Calvin J Wong