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Low-resolution Prior Equilibrium Network for CT Reconstruction
April 19, 2024, 4:45 a.m. | Yijie Yang, Qifeng Gao, Yuping Duan
cs.CV updates on arXiv.org arxiv.org
Abstract: The unrolling method has been investigated for learning variational models in X-ray computed tomography. However, it has been observed that directly unrolling the regularization model through gradient descent does not produce satisfactory results. In this paper, we present a novel deep learning-based CT reconstruction model, where the low-resolution image is introduced to obtain an effective regularization term for improving the network`s robustness. Our approach involves constructing the backbone network architecture by algorithm unrolling that is …
abstract arxiv cs.cv deep learning eess.iv equilibrium gradient however low network novel paper prior ray regularization resolution results through type x-ray x-ray computed tomography
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