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 resonance 、 Artificial intelligence 、 Image restoration 、 Physics 、 Iterative method 、 Radon transform 、 Computer vision 、 Iterative reconstruction 、 Deblurring 、 Noise (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.