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Multi-view X-ray Image Synthesis with Multiple Domain Disentanglement from CT Scans
April 19, 2024, 4:45 a.m. | Lixing Tan, Shuang Song, Kangneng Zhou, Chengbo Duan, Lanying Wang, Huayang Ren, Linlin Liu, Wei Zhang, Ruoxiu Xiao
cs.CV updates on arXiv.org arxiv.org
Abstract: X-ray images play a vital role in the intraoperative processes due to their high resolution and fast imaging speed and greatly promote the subsequent segmentation, registration and reconstruction. However, over-dosed X-rays superimpose potential risks to human health to some extent. Data-driven algorithms from volume scans to X-ray images are restricted by the scarcity of paired X-ray and volume data. Existing methods are mainly realized by modelling the whole X-ray imaging procedure. In this study, we …
abstract algorithms arxiv cs.cv data data-driven domain eess.iv health however human image images imaging multiple processes promote ray registration resolution risks role scans segmentation speed synthesis type view vital x-ray
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