公开(公告)号：US11367179B2

公开(公告)日：2022-06-21

申请号：US16588129

申请日：2019-09-30

申请人： GE Precision Healthcare LLC ,  Partners Healthcare System, Inc. ,  The General Hospital Corporation ,  The Brigham and Women's Hospital, Inc.

发明人： Jason Polzin ,  Bernardo Bizzo ,  Bradley Wright ,  John Kirsch ,  Pamela Schaefer

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.

公开(公告)号：US20210097679A1

公开(公告)日：2021-04-01

申请号：US16588129

申请日：2019-09-30

申请人： GE Precision Healthcare LLC ,  Partners HealthCare System, Inc. ,  The General Hospital Corporation ,  The Brigham and Women's Hospital, Inc.

发明人： Jason Polzin ,  Bernardo Bizzo ,  Bradley Wright ,  John Kirsch ,  Pamela Schaefer

IPC分类号： G06T7/00 ,  A61B6/03 ,  G06N3/08 ,  G06T7/11 ,  A61B6/00 ,  G06N20/10

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.