发明授权
- 专利标题: Determining degree of motion using machine learning to improve medical image quality
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申请号: US16588129申请日: 2019-09-30
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公开(公告)号: US11367179B2公开(公告)日: 2022-06-21
- 发明人: Jason Polzin , Bernardo Bizzo , Bradley Wright , John Kirsch , Pamela Schaefer
- 申请人: GE Precision Healthcare LLC , Partners Healthcare System, Inc. , The General Hospital Corporation , The Brigham and Women's Hospital, Inc.
- 申请人地址: US WI Milwaukee; US MA Boston; US MA Boston; US MA Boston
- 专利权人: GE Precision Healthcare LLC,Partners Healthcare System, Inc.,The General Hospital Corporation,The Brigham and Women's Hospital, Inc.
- 当前专利权人: GE Precision Healthcare LLC,Partners Healthcare System, Inc.,The General Hospital Corporation,The Brigham and Women's Hospital, Inc.
- 当前专利权人地址: US WI Milwaukee; US MA Boston; US MA Boston; US MA Boston
- 代理机构: Amin, Turocy & Watson, LLP
- 主分类号: G06T7/00
- IPC分类号: G06T7/00 ; A61B6/03 ; G06N3/08 ; G06T7/11 ; A61B6/00 ; G06N20/10 ; G06T7/136 ; G06N3/04
摘要:
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.
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