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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Bibliographic Details

Published in:	Physics in medicine & biology Vol. 62; no. 21; p. 8283
Main Authors:	Salvo, Koen, Defrise, Michel
Format:	Journal Article
Language:	English
Published:	England 12.10.2017
Subjects:	Algorithms Female Humans Image Processing, Computer-Assisted - methods Likelihood Functions Phantoms, Imaging Positron-Emission Tomography - methods Thorax - diagnostic imaging
ISSN:	1361-6560, 1361-6560
Online Access:	Get more information
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