Learning to Reconstruct CT Images From the VVBP-Tensor
IEEE Transactions on Medical Imaging(2021)
摘要
Deep learning (DL) is bringing a big movement in the field of computed tomography (CT) imaging. In general, DL for CT imaging can be applied by processing the projection or the image data with trained deep neural networks (DNNs), unrolling the iterative reconstruction as a DNN for training, or training a well-designed DNN to directly reconstruct the image from the projection. In all of these appli...
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关键词
Image reconstruction,Computed tomography,Tensors,Sorting,Training,Image coding,Biomedical imaging
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