Prospects for quantitative CT imaging in the presence of foreign metal bodies using statistical image reconstruction

作者: J.F. Williamson , B.R. Whiting , J. Benac , R.J. Murphy , G.J. Blaine

DOI: 10.1109/ISBI.2002.1029341

关键词: Stochastic resonanceArtificial intelligenceImage restorationPhysicsIterative methodRadon transformComputer visionIterative reconstructionDeblurringNoise (video)Noise shaping

摘要: Radiation oncology treatment planning presents several challenges to CT imaging, including imaging in the presence of complex metal intracavitary applicators and need noninvasively measure photon cross sections. Using synthetic sinograms which noise, a polyenergetic spectrum, scatter are modeled, performance three algorithms is compared: filtered back projection, deterministic iterative deblurring, modern model-based stochastic reconstruction technique. The algorithm performs well, but requires knowledge object locations shapes fully eliminate streaking artifacts.

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