Evaluation of bias and variance in low-count OSEM list mode reconstruction
Abstract
Statistical algorithms have been widely used in PET image reconstruction. The maximum likelihood expectation maximization reconstruction has been shown to produce bias in applications where images are reconstructed from a relatively small number of counts. In this study, image bias and variability in low-count OSEM reconstruction are investigated on images reconstructed with MOLAR (motion-compensation OSEM list-mode algorithm for...
Paper Details
Title
Evaluation of bias and variance in low-count OSEM list mode reconstruction
Published Date
Dec 5, 2014
Volume
60
Issue
1
Pages
15 - 29
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