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
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