ArticleEJNMMI physics2019
Impact of penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm for
Article in EJNMMI physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Innovations in clinical PET image reconstruction: advances in Bayesian penalized likelihood algorithm and deep learning.Annals of nuclear medicine · 2025Review
- Reduction of [EJNMMI physics · 2024Article
- The effects of various penalty parameter values in Q.Clear algorithm for rectal cancer detection onEJNMMI physics · 2023Article
- Phantom and clinical evaluation of the effect of a new Bayesian penalized likelihood reconstruction algorithm (HYPER Iterative) onEJNMMI research · 2022Article
- Detection of lymph node metastases in patients with prostate cancer: Comparing conventional and digital [Clinical physiology and functional imaging · 2022Article
- Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [Diagnostics (Basel, Switzerland) · 2022Article
- BSREM for Brain Metastasis Detection with 18F-FDG-PET/CT in Lung Cancer Patients.Journal of digital imaging · 2022Article
- Influences on PET Quantification and Interpretation.Diagnostics (Basel, Switzerland) · 2022Review
- The effect of Q.Clear reconstruction on quantification and spatial resolution of 18F-FDG PET in simultaneous PET/MR.EJNMMI physics · 2022Article
- Moving the goalposts while scoring-the dilemma posed by new PET technologies.European journal of nuclear medicine and molecular imaging · 2021Article
- Post-reconstruction enhancement of [EJNMMI research · 2021Article
- Optimization of [EJNMMI physics · 2020Article
- Ordered subset expectation maximisation vs Bayesian penalised likelihood reconstruction algorithm in 18F-PSMA-1007 PET/CT.Annals of nuclear medicine · 2020Article
- Article
- Image reconstruction methods affect software-aided assessment of pathologies of [NeuroImage. Clinical · 2020Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundRecently, the block-sequential regularized expectation maximization (BSREM) reconstruction algorithm was commercially introduced (Q.Clear, GE Healthcare, Milwaukee, WI, USA). However, the combination of noise-penalizing factor (β), acquisition time, and administered activity for optimal image quality has not been established for
resultsThe highest median CNR was found for BSREM with a β of 300 and a frame duration of 2.0 min. The OSEM reconstruction had the lowest median CNR. Both the noise level and lesion SUV
conclusionsTo achieve acceptable image quality at 4 MBq/kg
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