DocumentCode :
1622582
Title :
Minimum distance methods for transmission tomography
Author :
Anderson, J.M.M. ; Yust, C.K. ; Mair, B.A.
Author_Institution :
Florida Univ., Gainesville, FL, USA
Volume :
3
fYear :
1996
Firstpage :
1767
Abstract :
The authors present minimum distance methods for reconstructing transmission tomography images. Specifically, the methods the authors propose estimate the attenuation density by minimizing least-squares (weighted and unweighted) and Kullback-Leibler distances. The algorithms are compared using a simulated phantom and Poisson data
Keywords :
image reconstruction; least squares approximations; medical image processing; positron emission tomography; PET images reconstruction; Poisson data; algorithms; attenuation density estimation; medical diagnostic imaging; minimum distance methods; nuclear medicine; simulated phantom data; transmission tomography; Attenuation; Computational efficiency; Image reconstruction; Imaging phantoms; Iterative methods; Radiation dosage; Radiation safety; Reconstruction algorithms; Single photon emission computed tomography; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium, 1996. Conference Record., 1996 IEEE
Conference_Location :
Anaheim, CA
ISSN :
1082-3654
Print_ISBN :
0-7803-3534-1
Type :
conf
DOI :
10.1109/NSSMIC.1996.587972
Filename :
587972
Link To Document :
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