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• W1676212501 abstract "In practical applications of tomographic imaging, there are often challenges for image reconstruction due to under-sampling and insufficient data. In computed tomography (CT), for example, image reconstruction from few views would enable rapid scanning with a reduced x-ray dose delivered to the patient. Limited-angle problems are also of practical significance in CT. In this work, we develop and investigate an iterative image reconstruction algorithm based on the minimization of the image total variation (TV) that applies to divergent-beam CT. Numerical demonstrations of our TV algorithm are performed with various insufficient data problems in fan-beam CT. The TV algorithm can be generalized to cone-beam CT as well as other tomographic imaging modalities." @default.
• W1676212501 created "2016-06-24" @default.
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• W1676212501 date "2006-01-01" @default.
• W1676212501 modified "2023-10-09" @default.
• W1676212501 title "Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT" @default.
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