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公开(公告)号:US10991132B2
公开(公告)日:2021-04-27
申请号:US16365498
申请日:2019-03-26
Inventor: JongChul Ye , Yoseob Han
Abstract: A method for processing a sparse-view computed tomography (CT) image using a neural network and an apparatus therefor are provided. The method includes receiving a sparse-view CT data and reconstructing an image for the sparse-view CT data using a neural network of a learning model satisfying a predetermined frame condition.
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公开(公告)号:US10977842B2
公开(公告)日:2021-04-13
申请号:US16431575
申请日:2019-06-04
Inventor: JongChul Ye , Yoseob Han
IPC: G06T11/00 , G06T5/00 , G06N3/04 , G06N3/08 , G01N23/10 , G01N23/083 , G01N23/046
Abstract: A method for processing a multi-directional X-ray computed tomography (CT) image using a neural network and an apparatus therefor are provided. The method includes receiving a predetermined number of multi-directional X-ray CT data and reconstructing an image for the multi-directional X-ray CT data using a neural network learned in each of an image domain and a sinogram domain.
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3.
公开(公告)号:US20200027252A1
公开(公告)日:2020-01-23
申请号:US16431575
申请日:2019-06-04
Inventor: JongChul Ye , Yoseob Han
IPC: G06T11/00 , G06T5/00 , G06N3/04 , G06N3/08 , G01N23/10 , G01N23/046 , G01N23/083
Abstract: A method for processing a multi-directional X-ray computed tomography (CT) image using a neural network and an apparatus therefor are provided. The method includes receiving a predetermined number of multi-directional X-ray CT data and reconstructing an image for the multi-directional X-ray CT data using a neural network learned in each of an image domain and a sinogram domain.
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