DocumentCode
1428408
Title
Maximum-likelihood transmission image reconstruction for overlapping transmission beams
Author
Yu, Daniel F. ; Fessler, Jeffrey A. ; Ficaro, Edward P.
Author_Institution
Michigan Univ., Ann Arbor, MI, USA
Volume
19
Issue
11
fYear
2000
Firstpage
1094
Lastpage
1105
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. The authors 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 single photon emission tomography 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
image reconstruction; image resolution; iterative methods; maximum likelihood estimation; medical image processing; noise; single photon emission computed tomography; SPECT; count rates increase; maximum-likelihood transmission image reconstruction; medical diagnostic imaging; multiple line source array; multiple parallel rod sources; nuclear medicine; overlapping transmission beams; resolution/noise tradeoffs; scanning line sources; statistical reconstruction methods; Attenuation; Collimators; Convergence; Detectors; Geometry; Image reconstruction; Iterative algorithms; Object detection; Reconstruction algorithms; Single photon emission computed tomography; Algorithms; Computer Simulation; Image Processing, Computer-Assisted; Probability; Tomography, Emission-Computed, Single-Photon;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/42.896785
Filename
896785
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