- 专利标题: System and method for utilizing a deep learning network to correct for a bad pixel in a computed tomography detector
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申请号: US17225395申请日: 2021-04-08
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公开(公告)号: US11823354B2公开(公告)日: 2023-11-21
- 发明人: Bhushan Dayaram Patil , Rajesh Langoju , Utkarsh Agrawal , Bipul Das , Jiang Hsieh
- 申请人: GE PRECISION HEALTHCARE LLC
- 申请人地址: US WI Wauwatosa
- 专利权人: GE Precision Healthcare LLC
- 当前专利权人: GE Precision Healthcare LLC
- 当前专利权人地址: US WI Wauwatosa
- 代理机构: Fletcher Yoder P.C.
- 主分类号: G06T5/00
- IPC分类号: G06T5/00 ; G16H30/20 ; G06N3/08 ; G06T11/00
摘要:
A computer-implemented method for correcting artifacts in computed tomography data is provided. The method includes inputting a sinogram into a trained sinogram correction network, wherein the sinogram is missing a pixel value for at least one pixel. The method also includes processing the sinogram via one or more layers of the trained sinogram correction network, wherein processing the sinogram includes deriving complementary information from the sinogram and estimating the pixel value for the at least one pixel based on the complementary information. The method further includes outputting from the trained sinogram correction network a corrected sinogram having the estimated pixel value.
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