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Maximum-Likelihood Transmission Image Reconstruction for Overlapping Transmission Beams

dc.contributor.authorYu, Daniel F.en_US
dc.contributor.authorFessler, Jeffrey A.en_US
dc.contributor.authorFicaro, Edward P.en_US
dc.date.accessioned2011-08-18T18:20:47Z
dc.date.available2011-08-18T18:20:47Z
dc.date.issued2000-11en_US
dc.identifier.citationYu, D.F.; Fessler, J.A.; Ficaro, E.P. (2000). "Maximum-Likelihood Transmission Image Reconstruction for Overlapping Transmission Beams." IEEE Transactions on Medical Imaging 19(11): 1094-1105. <http://hdl.handle.net/2027.42/85818>en_US
dc.identifier.issn0278-0062en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/85818
dc.description.abstractIn 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.en_US
dc.publisherIEEEen_US
dc.titleMaximum-Likelihood Transmission Image Reconstruction for Overlapping Transmission Beamsen_US
dc.typearticleen_US
dc.subject.hlbsecondlevelBiomedical Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumElectrical Engineering and Computer Science Department.en_US
dc.identifier.pmid11204847en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/85818/1/Fessler78.pdf
dc.identifier.doi10.1109/42.896785en_US
dc.identifier.sourceIEEE Transactions on Medical Imagingen_US
dc.owningcollnameElectrical Engineering and Computer Science, Department of (EECS)


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