- 专利标题: Providing a resultant image dataset and providing a trained generator function
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申请号: US16923527申请日: 2020-07-08
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公开(公告)号: US11532074B2公开(公告)日: 2022-12-20
- 发明人: Christian Kaethner , Sai Gokul Hariharan
- 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
- 代理机构: Harness, Dickey & Pierce, P.LC.
- 优先权: DE102019210545.9 20190717
- 主分类号: G06T5/00
- IPC分类号: G06T5/00 ; G06N20/00 ; G06N7/00
摘要:
A method is for providing a resultant image dataset for a volume of interest. In an embodiment, an X-ray image dataset for the volume of interest is received, having a first noise level. A trained generator function is received, a parameter of which is based on a first and a second training image dataset for a training volume of interest. The first and the second training image dataset include a first training noise level. In addition, a resultant image dataset for the volume of interest is determined by applying the trained generator function to input data comprising the X-ray image dataset, the resultant image dataset has a second noise level less than the first noise level. In addition, the resultant image dataset is provided. As such, a higher noise level can be accepted and/or a lower X-ray dose can be used in the acquisition of the X-ray image dataset.
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