2020
DOI: 10.1007/s12149-019-01433-x
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Ordered subset expectation maximisation vs Bayesian penalised likelihood reconstruction algorithm in 18F-PSMA-1007 PET/CT

Abstract: Background The aim of the study was to compare widely used ordered subset expectation maximisation (OSEM) algorithm with a new Bayesian penalised likelihood (BPL) Q.Clear algorithm in 18F-PSMA-1007 PET/CT. Methods We retrospectively assessed 25 18F-PSMA-1007 PET/CT scans with both OSEM and Q.Clear reconstructions available. Each scan was independently reported by two physicians both in OSEM and Q.Clear. SUVmax, SUVmean and tumour-to-background ratio (TBR) of each lesion were measured. Reports were also compare… Show more

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Cited by 20 publications
(15 citation statements)
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“…The Bayesian penalized likelihood (BPL) reconstruction algorithm called Q.Clear allows for improved spatial resolution because of its convergence, applying a noise penalty at the voxel level during image reconstruction [ 14 ]. The resulting higher uptake/expression values in small lesions (compared to standard reconstruction) have been reported for several radiotracers, including F-18 PSMA-1007 in prostate cancer patients [ 29 ]. In the latter study, SUVmax with BPL reconstruction has been compared to standard OSEM reconstruction, stratified for lesion size.…”
Section: Discussionmentioning
confidence: 95%
“…The Bayesian penalized likelihood (BPL) reconstruction algorithm called Q.Clear allows for improved spatial resolution because of its convergence, applying a noise penalty at the voxel level during image reconstruction [ 14 ]. The resulting higher uptake/expression values in small lesions (compared to standard reconstruction) have been reported for several radiotracers, including F-18 PSMA-1007 in prostate cancer patients [ 29 ]. In the latter study, SUVmax with BPL reconstruction has been compared to standard OSEM reconstruction, stratified for lesion size.…”
Section: Discussionmentioning
confidence: 95%
“…Except for the current study, no similar studies for [ 18 F]PSMA-1007 PET exist. A recent study [16] compared BSREM with OSEM for [ 18 F]PSMA-1007, but only used a single β value and acquisition time after an accumulation time of 60 min. That study used a PM-based PET-CT system and a default producer setting for the BSREM with a β value of 350 and time-of-flight disabled.…”
Section: Discussionmentioning
confidence: 99%
“…In Q.Clear the noise suppression is controlled by a penalty term beta (the only one user-adjusted term in the algorithm). The algorithm also incorporates point-spread-function modelling [16][17][18].…”
Section: Discussionmentioning
confidence: 99%