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Mean and Variance of Coincidence Counting with Deadtime

dc.contributor.authorYu, Daniel F.en_US
dc.contributor.authorFessler, Jeffrey A.en_US
dc.date.accessioned2011-08-18T18:21:23Z
dc.date.available2011-08-18T18:21:23Z
dc.date.issued2002-03-28en_US
dc.identifier.citationYu, D. F.; Fessler, J. A. (2002). "Mean and Variance of Coincidence Counting with Deadtime." Nuclear Instruments and Methods in Physics Research A 488(1-2): 362-374. <http://hdl.handle.net/2027.42/86020>en_US
dc.identifier.issn0168-9002en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/86020
dc.description.abstractWe analyze the first and second moments of the coincidence-counting process for a system affected by paralyzable (extendable) deadtime with (possibly unequal) deadtimes in each singles channel. We consider both “accidental” and “genuine” coincidences, and derive exact analytical expressions for the first and second moments of the number of recorded coincidence events under various scenarios. The results include an exact form for the coincidence rate under the combined effects of decay, background, and deadtime. The analysis confirms that coincidence counts are not exactly Poisson, but suggests that the Poisson statistical model that is used for positron emission tomography image reconstruction is a reasonable approximation since the mean and variance are nearly equal.en_US
dc.publisherElsevieren_US
dc.titleMean and Variance of Coincidence Counting with Deadtimeen_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.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/86020/1/Fessler71.pdf
dc.identifier.doi10.1016/S0168-9002(02)00460-6en_US
dc.identifier.sourceNuclear Instruments and Methods in Physics Research Aen_US
dc.owningcollnameElectrical Engineering and Computer Science, Department of (EECS)


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