Bayesian Penalized Likelihood Image Reconstruction (Q. Clear) in oncology: Effects of contrast and count-rate dependence.

L Tolbod, NL Christensen, O Munk - 2019 - Soc Nuclear Med
1350 Objectives: Point-spread function PET reconstruction (OSEM-PSF) has been shown to
lead to non-physical signal recoveries for small lesions, due to Gibb's ringing, if proper post …
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Phantom and clinical evaluation of the Bayesian penalized likelihood reconstruction algorithm Q. Clear on an LYSO PET/CT system

EJ Teoh, DR McGowan, RE Macpherson… - Journal of Nuclear …, 2015 - Soc Nuclear Med
Q. Clear, a Bayesian penalized-likelihood reconstruction algorithm for PET, was recently
introduced by GE Healthcare on their PET scanners to improve clinical image quality and …
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[HTML][HTML] Impact of the Noise Penalty Factor on Quantification in Bayesian Penalized Likelihood (Q.Clear) Reconstructions of 68Ga-PSMA PET/CT Scans

S Rijnsdorp, MJ Roef, AJ Arends - Diagnostics, 2021 - mdpi.com
Functional imaging with 68Ga prostate-specific membrane antigen (PSMA) and positron
emission tomography (PET) can fulfill an important role in treatment selection and …
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[HTML][HTML] Impact of γ factor in the penalty function of Bayesian penalized likelihood reconstruction (Q.Clear) to achieve high-resolution PET images

K Miwa, T Yoshii, K Wagatsuma, S Nezu, Y Kamitaka… - EJNMMI physics, 2023 - Springer
Abstract Background The Bayesian penalized likelihood PET reconstruction (BPL)
algorithm, Q. Clear (GE Healthcare), has recently been clinically applied to clinical image …
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Evaluation of quantitative parameters of a new Bayesian penalized-likelihood reconstruction algorithm for PET, compared with conventional iterative reconstruction.

T Ishimori, Y Nakamoto, K Togashi - 2017 - Soc Nuclear Med
667 Objectives: Quantitative analysis using standardized uptake value (SUV) is commonly
used in oncological FDG-PET imaging. Recently, a new Bayesian penalized-likelihood (PL) …
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Optimizing Scan Time and Bayesian Penalized Likelihood Reconstruction Algorithm in Copper-64 PET/CT Imaging: A Phantom Study

A Monsef, P Sheikhzadeh, J Steiner… - Biomedical Physics …, 2024 - iopscience.iop.org
Objectives: The aim of this study was to evaluate Cu-64 PET phantom image quality using
Bayesian Penalized Likelihood (BPL) and Ordered Subset Expectation Maximum with point …
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A phantom study of regularized image reconstruction in PET

JM Wilson, SG Ross, T Deller, E Asma… - … & Medical Imaging …, 2010 - ieeexplore.ieee.org
Image quality was measured for varied tuning parameters of four penalized likelihood
potential functions with reconstructed PET data of multiple hot spheres in a warm …
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Effect of Bayesian penalized-likelihood PET reconstruction condition on quantitation.

T Ishimori, Y Nakamoto, K Miyake, T Saga, S Koyasu… - 2019 - Soc Nuclear Med
1601 Objectives: Quantitative analysis using standardized uptake value (SUV) is commonly
used in oncological PET imaging. Recently, a Bayesian penalized-likelihood (PL) …
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Optimisation of penalized likelihood estimation reconstruction (Q. Clear) on a digital time-of-flight PET-CT scanner for four different PET tracers

E LindstrÃ, L LindsjÃ, E Ilan, A Sundin, J Sorensen… - 2017 - Soc Nuclear Med
1355 Objectives: The penalized likelihood estimation reconstruction algorithm Q. Clear (GE
Healthcare) allows for full convergence and edge preservation through a block sequential …
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[HTML][HTML] Phantom and clinical evaluation of the effect of a new Bayesian penalized likelihood reconstruction algorithm (HYPER Iterative) on 68Ga-DOTA-NOC PET/CT …

L Xu, C Cui, R Li, R Yang, R Liu, Q Meng, F Wang - EJNMMI research, 2022 - Springer
Background Bayesian penalized likelihood (BPL) algorithm is an effective way to suppress
noise in the process of positron emission tomography (PET) image reconstruction by …
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