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RSTAR: Rotational Streak Artifact Reduction in 4D CBCT using Separable and Circular Convolutions
March 26, 2024, 4:48 a.m. | Ziheng Deng, Hua Chen, Haibo Hu, Zhiyong Xu, Tianling Lyu, Yan Xi, Yang Chen, Jun Zhao
cs.CV updates on arXiv.org arxiv.org
Abstract: Four-dimensional cone-beam computed tomography (4D CBCT) provides respiration-resolved images and can be used for image-guided radiation therapy. However, the ability to reveal respiratory motion comes at the cost of image artifacts. As raw projection data are sorted into multiple respiratory phases, there is a limited number of cone-beam projections available for image reconstruction. Consequently, the 4D CBCT images are covered by severe streak artifacts. Although several deep learning-based methods have been proposed to address this …
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