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Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging
[article]
2021
arXiv
pre-print
Computed Tomography (CT) takes X-ray measurements on the subjects to reconstruct tomographic images. As X-ray is radioactive, it is desirable to control the total amount of dose of X-ray for safety concerns. Therefore, we can only select a limited number of measurement angles and assign each of them limited amount of dose. Traditional methods such as compressed sensing usually randomly select the angles and equally distribute the allowed dose on them. In most CT reconstruction models, the
arXiv:2006.02420v5
fatcat:ty4gevn575atpc4ooptjhtckd4