Bias in iterative reconstruction of low-statistics PET data: benefits of a resolution model

Volume: 56, Issue: 4, Pages: 931 - 949
Published: Jan 20, 2011
Abstract
Iterative image reconstruction methods such as ordered-subset expectation maximization (OSEM) are widely used in PET. Reconstructions via OSEM are however reported to be biased for low-count data. We investigated this and considered the impact for dynamic PET. Patient listmode data were acquired in [(11)C]DASB and [(15)O]H(2)O scans on the HRRT brain PET scanner. These data were subsampled to create many independent, low-count replicates. The...
Paper Details
Title
Bias in iterative reconstruction of low-statistics PET data: benefits of a resolution model
Published Date
Jan 20, 2011
Volume
56
Issue
4
Pages
931 - 949
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