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Abstract: In practical applications of tomographic imaging, there are often challengesfor image reconstruction due to under-sampling and insufficient data. Incomputed tomography CT, for example, image reconstruction from few viewswould 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 onthe minimization of the image total variation TV that applies todivergent-beam CT. Numerical demonstrations of our TV algorithm are performedwith various insufficient data problems in fan-beam CT. The TV algorithm can begeneralized to cone-beam CT as well as other tomographic imaging modalities.



Autor: Emil Y. Sidky, Chien-Min Kao, Xiaochuan Pan

Fuente: https://arxiv.org/



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