Paper Info
Title
Prospects for quantitative CT imaging in the presence of foreign metal bodies using statistical image reconstruction
Abstract
Radiation oncology treatment planning presents several challenges to CT imaging, including imaging in the presence of complex metal intracavitary applicators and the need to noninvasively measure photon cross sections. Using synthetic sinograms in which noise, a polyenergetic spectrum, and scatter are modeled, the performance of three algorithms is compared: filtered back projection, deterministic iterative deblurring, and a modern model-based stochastic iterative reconstruction technique. The model-based algorithm performs well, but requires knowledge of metal object locations and shapes to fully eliminate streaking artifacts.
Year
DOI
Keywords
2002
10.1109/ISBI.2002.1029341
computerised tomography,dosimetry,filtering theory,image reconstruction,image restoration,iterative methods,medical image processing,radiation therapy,statistical analysis,stochastic processes,algorithms,complex metal intracavitary applicators,deterministic iterative deblurring,dose calculation,filtered back projection,foreign metal bodies,metal object locations,metal object shapes,model-based algorithm,model-based stochastic iterative reconstruction technique,noise,photon cross sections,polyenergetic spectrum,quantitative CT imaging,radiation oncology treatment planning,scatter,statistical image reconstruction,streaking artifacts,synthetic sinograms
Field
DocType
ISBN
Iterative reconstruction,Computer vision,Pattern recognition,Deblurring,Iterative method,Computer science,Noise shaping,Artificial intelligence,Stochastic resonance,Image restoration,Streaking,Radon transform
Conference
0-7803-7584-X
Citations 
PageRank 
References 
0
0.34
0
Authors
8
Name
Order
Citations
PageRank
Jeffrey F. Williamson1193.91
Bruce R. Whiting2447.32
Jasenka Benac3202.98
Ryan J. Murphy47411.63
G J Blaine5116.46
O'Sullivan JA642466.08
David G. Politte7298.46
D. Snyder811240.42