- 专利标题: Image standardization using generative adversarial networks
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申请号: US16054319申请日: 2018-08-03
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公开(公告)号: US10753997B2公开(公告)日: 2020-08-25
- 发明人: Benjamin L. Odry , Boris Mailhe , Mariappan S. Nadar , Pascal Ceccaldi
- 申请人: Siemens Healthcare GmbH
- 申请人地址: DE Erlangen
- 专利权人: Siemens Healthcare GmbH
- 当前专利权人: Siemens Healthcare GmbH
- 当前专利权人地址: DE Erlangen
- 主分类号: G06N3/04
- IPC分类号: G06N3/04 ; G01R33/56 ; G01R33/54 ; G06N3/08
摘要:
Systems and methods are provided for synthesizing protocol independent magnetic resonance images. A patient is scanned by a magnetic resonance imaging system to acquire magnetic resonance data. The magnetic resonance data is input to a machine learnt generator network trained to extract features from input magnetic resonance data and synthesize protocol independent images using the extracted features. The machine learnt generator network generates a protocol independent segmented magnetic resonance image from the input magnetic resonance data. The protocol independent magnetic resonance image is displayed.