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Multi-domain Integrative Swin Transformer network for Sparse-View Tomographic Reconstruction. (arXiv:2111.14831v7 [eess.IV] UPDATED)
April 18, 2022, 1:11 a.m. | Jiayi Pan, Heye Zhang, Weifei Wu, Zhifan Gao, Weiwen Wu
cs.LG updates on arXiv.org arxiv.org
Decreasing projection views to lower X-ray radiation dose usually leads to
severe streak artifacts. To improve image quality from sparse-view data, a
Multi-domain Integrative Swin Transformer network (MIST-net) was developed in
this article. First, MIST-net incorporated lavish domain features from data,
residual-data, image, and residual-image using flexible network architectures,
where residual-data and residual-image sub-network was considered as data
consistency module to eliminate interpolation and reconstruction errors.
Second, a trainable edge enhancement filter was incorporated to detect and
protect image edges. …
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