osem algorithm 6iterations 16subsets filter reconstruction under low counts Search Results


osem algorithm 6iterations 16subsets filter reconstruction under low counts  (MedCalc Software Ltd)
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MedCalc Software Ltd osem algorithm 6iterations 16subsets filter reconstruction under low counts
Multicomparison analysis of the BP ND results obtained for all structures when images reconstructed the standard <t>OSEM</t> <t>6iterations</t> <t>16subsets</t> and 5 mm filter and with the Q.Clear reconstructions with different β values. Note the statistically significant results included on the graphs
Osem Algorithm 6iterations 16subsets Filter Reconstruction Under Low Counts, supplied by MedCalc Software Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Multicomparison analysis of the BP ND results obtained for all structures when images reconstructed the standard OSEM 6iterations 16subsets and 5 mm filter and with the Q.Clear reconstructions with different β values. Note the statistically significant results included on the graphs

Journal: EJNMMI Research

Article Title: Assessing the impact of different penalty factors of the Bayesian reconstruction algorithm Q.Clear on in vivo low count kinetic analysis of [ 11 C]PHNO brain PET-MR studies

doi: 10.1186/s13550-022-00883-1

Figure Lengend Snippet: Multicomparison analysis of the BP ND results obtained for all structures when images reconstructed the standard OSEM 6iterations 16subsets and 5 mm filter and with the Q.Clear reconstructions with different β values. Note the statistically significant results included on the graphs

Article Snippet: Bias and the Repeatability Coefficient (RC) between the OSEM algorithm (6iterations, 16subsets, 5 mm filter reconstruction under low counts, defined as standard reconstruction for the purposes of this study) and the Q.Clear reconstructions ( n = 10, with differing β values), were produced using MedCalc® version 18 (MedCalc Software, Belgium), computing the standard deviation of the BP ND results obtained for the healthy subjects.

Techniques: