Invention Application
- Patent Title: DETERMINING DEGREE OF MOTION USING MACHINE LEARNING TO IMPROVE MEDICAL IMAGE QUALITY
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Application No.: US16588129Application Date: 2019-09-30
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Publication No.: US20210097679A1Publication Date: 2021-04-01
- Inventor: Jason Polzin , Bernardo Bizzo , Bradley Wright , John Kirsch , Pamela Schaefer
- Applicant: GE Precision Healthcare LLC , Partners HealthCare System, Inc. , The General Hospital Corporation , The Brigham and Women's Hospital, Inc.
- Applicant Address: US WI Milwaukee; US MA Boston; US MA Boston; US MA Boston
- Assignee: GE Precision Healthcare LLC,Partners HealthCare System, Inc.,The General Hospital Corporation,The Brigham and Women's Hospital, Inc.
- Current Assignee: GE Precision Healthcare LLC,Partners HealthCare System, Inc.,The General Hospital Corporation,The Brigham and Women's Hospital, Inc.
- Current Assignee Address: US WI Milwaukee; US MA Boston; US MA Boston; US MA Boston
- Main IPC: G06T7/00
- IPC: G06T7/00 ; A61B6/03 ; G06N3/08 ; G06T7/11 ; A61B6/00 ; G06N20/10

Abstract:
Systems and techniques for determining degree of motion using machine learning to improve medical image quality are presented. In one example, a system generates, based on a convolutional neural network, motion probability data indicative of a probability distribution of a degree of motion for medical imaging data generated by a medical imaging device. The system also determines motion score data for the medical imaging data based on the motion probability data.
Public/Granted literature
- US11367179B2 Determining degree of motion using machine learning to improve medical image quality Public/Granted day:2022-06-21
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