Improving lesion detectability in PET imaging with a penalized likelihood reconstruction algorithm
Abstract
Ordered Subset Expectation Maximization (OSEM) is currently the most widely used image reconstruction algorithm for clinical PET. However, OSEM does not necessarily provide optimal image quality, and a number of alternative algorithms have been explored. We have recently shown that a penalized likelihood image reconstruction algorithm using the relative difference penalty, block sequential regularized expectation maximization (BSREM), achieves...
Paper Details
Title
Improving lesion detectability in PET imaging with a penalized likelihood reconstruction algorithm
Published Date
Mar 17, 2015
Journal
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