DocumentCode :
2051921
Title :
Maximum likelihood transmission image reconstruction for overlapping transmission beams
Author :
Fessler, Jeffrey A. ; Yu, Daniel F. ; Ficaro, Edward P.
Author_Institution :
Michigan Univ., Ann Arbor, MI, USA
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
845
Abstract :
In many transmission imaging geometries, the transmitted “beams” of photons overlap on the detector, such that a detector element may record photons that originated in different sources or source locations and thus traversed different paths through the object, Examples include systems based on scanning line sources or on multiple parallel rod sources. The overlap of these beams has been disregarded by both conventional analytical reconstruction methods as well as by previous statistical reconstruction methods. We propose a new algorithm for statistical image reconstruction of attenuation maps that explicitly accounts for overlapping beams in transmission scans. The algorithm is guaranteed to monotonically increase the objective function at each iteration. The availability of this algorithm enables the possibility of deliberately increasing the beam overlap so as to increase count rates. Simulated SPECT transmission scans based on a multiple line source array demonstrate that the proposed method yields improved resolution/noise tradeoffs relative to “conventional” reconstruction algorithms, both statistical and nonstatistical
Keywords :
convergence of numerical methods; image reconstruction; iterative methods; maximum likelihood estimation; medical image processing; single photon emission computed tomography; SPECT transmission scans; arbitrary overlapping beams; attenuation maps; convergence; improved resolution/noise tradeoffs; iterative algorithm; log-likelihood; maximum likelihood reconstruction; multiple line source array; overlapping transmission beams; statistical image reconstruction; transmission image reconstruction; unregularized problem; Attenuation; Availability; Detectors; Geometry; Image reconstruction; Maximum likelihood detection; Object detection; Position measurement; Reconstruction algorithms; Single photon emission computed tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium, 1999. Conference Record. 1999 IEEE
Conference_Location :
Seattle, WA
ISSN :
1082-3654
Print_ISBN :
0-7803-5696-9
Type :
conf
DOI :
10.1109/NSSMIC.1999.845797
Filename :
845797
Link To Document :
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