2019
JSR-Net: A Deep Network for Joint Spatial-radon Domain CT Reconstruction from Incomplete Data
ICASSP 2019accepted
CT image reconstruction from incomplete data, such as sparse views and limited angle reconstruction, is an important and challenging problem in medical imaging. This work proposes a new deep convolutional neural network (CNN), called JSR-Net, that jointly reconstructs CT images and their associated…