Invention Grant
- Patent Title: Automated segmentation of tissue in magnetic resonance imaging
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Application No.: US16771059Application Date: 2018-12-10
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Publication No.: US11675039B2Publication Date: 2023-06-13
- Inventor: Ayman S. El-Baz , Susan J. Harkema , Enrico Rejc , Ahmed Shalaby , Samineh Mesbah
- Applicant: UNIVERSITY OF LOUISVILLE RESEARCH FOUNDATION, INC.
- Applicant Address: US KY Louisville
- Assignee: University of Louisville Research Foundation, Inc.
- Current Assignee: University of Louisville Research Foundation, Inc.
- Current Assignee Address: US KY Louisville
- Agency: Dentons Bingham Greenebaum LLP
- Agent Brian W. Chellgren
- International Application: PCT/US2018/064760 2018.12.10
- International Announcement: WO2019/118353A 2019.06.20
- Date entered country: 2020-06-09
- Main IPC: G01R33/56
- IPC: G01R33/56 ; G01R33/48

Abstract:
An automated segmentation system for medical imaging data segments data into muscle and fat volumes, and separates muscle volumes into discrete muscle group volumes using a plurality of models of the medical imaging data, and wherein the medical imaging data includes data from a plurality of imaging modalities.
Public/Granted literature
- US20210156943A1 AUTOMATED SEGMENTATION OF TISSUE IN MAGNETIC RESONANCE IMAGING Public/Granted day:2021-05-27
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