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Sep, 2023
通过合成数据上的深度端到端学习实现有限角度层析重建
Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic Data
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Thomas Germer, Jan Robine, Sebastian Konietzny, Stefan Harmeling, Tobias Uelwer
TL;DR
基于深度神经网络,本论文提出了一个训练于大量精心制作的合成数据上的模型,可以进行受限角度的断层投影重建,即便仅有30°或40°的正弦图像,取得了2022年赫尔辛基断层成像挑战赛的第一名。
Abstract
computed tomography
(CT) has become an essential part of modern science and medicine. A
ct scanner
consists of an X-ray source that is spun around an object of interest. On the opposite end of the X-ray source, a
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