sMLACF: a generalized expectation-maximization algorithm for TOF-PET to reconstruct the activity and attenuation simultaneously

The 'simultaneous maximum-likelihood attenuation correction factors' (sMLACF) algorithm presented here, is an iterative algorithm to calculate the maximum-likelihood estimate of the activity λ and the attenuation factors a in time-of-flight positron emission tomography, and this from emiss...

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Vydané v:	Physics in medicine & biology Ročník 62; číslo 21; s. 8283
Hlavní autori:	Salvo, Koen, Defrise, Michel
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England 12.10.2017
Predmet:	Algorithms Female Humans Image Processing, Computer-Assisted - methods Likelihood Functions Phantoms, Imaging Positron-Emission Tomography - methods Thorax - diagnostic imaging
ISSN:	1361-6560, 1361-6560
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