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公开(公告)号:US11842427B2
公开(公告)日:2023-12-12
申请号:US17055504
申请日:2019-05-14
申请人: MONASH UNIVERSITY
CPC分类号: G06T11/008 , A61B5/055 , A61B5/7207 , A61B5/7267 , G01R33/4818 , G01R33/56509 , G06T7/0012 , G06T7/246 , G06T2207/20081 , G06T2207/20084 , G06T2207/20201 , G06T2207/30004 , G06T2207/30168
摘要: A method and system for reducing or removing motion artefacts in magnetic resonance (MR) images, the method including the steps of: receiving a motion corrupted MR image; determining a corrected intensity value for each pixel in the motion corrupted MR image by using a neural network; and generating a motion corrected MR image based on the determined corrected intensity values for the pixels in the motion corrupted MR image.
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公开(公告)号:US11954823B2
公开(公告)日:2024-04-09
申请号:US17055522
申请日:2019-05-14
申请人: MONASH UNIVERSITY
IPC分类号: G06T3/40 , G01R33/48 , G01R33/56 , G06T3/4046 , G06T3/4076
CPC分类号: G06T3/4076 , G01R33/4818 , G01R33/5608 , G06T3/4046
摘要: A method and system for reconstructing magnetic resonance (MR) images, the method including the steps of: receiving an under-sampled MR image, the under-sampled MR image being transformed from under-sampled k-spaced data; classifying intensity of each pixel in the under-sampled MR image to one of a plurality of predetermined quantized values of intensity by using a neural network; and generating a reconstructed MR image based on the classified quantized value of the intensity for each pixel in the under-sampled MR image.
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