DocumentCode :
1924522
Title :
A union of deterministic and stochastic methods for image reconstruction
Author :
Hebert, T.J.
Author_Institution :
Dept. of Electr. Eng., Houston Univ., TX, USA
fYear :
1992
fDate :
25-31 Oct 1992
Firstpage :
1117
Abstract :
A reconstruction approach which combines the optimality of the EM (expectation maximization) maximum likelihood algorithm with the robustness of the FBP (filtered backprojection) algorithm has been formulated. This approach produces high-resolution reconstructions and requires only fractional computation time as compared to maximum likelihood reconstruction. Reconstructions from a patient study are presented
Keywords :
computerised tomography; image reconstruction; medical image processing; radioisotope scanning and imaging; statistical analysis; deterministic methods; expectation maximization maximum likelihood algorithm; filtered backprojection algorithm; fractional computation time; image reconstruction; maximum likelihood reconstruction; optimality; patient study; stochastic methods; Attenuation; Cameras; Cutoff frequency; Electromagnetic scattering; Image reconstruction; Maximum likelihood estimation; Particle scattering; Shape; Stochastic processes; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference, 1992., Conference Record of the 1992 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-0884-0
Type :
conf
DOI :
10.1109/NSSMIC.1992.301063
Filename :
301063
Link To Document :
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