Momentum-Net for Low-Dose CT Image Reconstruction

27 Feb 2020 Siqi Ye Yong Long Il Yong Chun

This paper applies the recent fast iterative neural network framework, Momentum-Net, using appropriate models to low-dose X-ray computed tomography (LDCT) image reconstruction. At each layer of the proposed Momentum-Net, the model-based image reconstruction module solves the majorized penalized weighted least-square problem, and the image refining module uses a four-layer convolutional neural network (CNN)... (read more)

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