ArticleThe British journal of radiology2021
Impact of total variation regularized expectation maximization reconstruction on the image quality of
Article in The British journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Investigate the quantification accuracy of small lesions in oncologicalBMC medical imaging · 2026Article
- Reducing acquisition time in O-(2-Quantitative imaging in medicine and surgery · 2025Article
- Innovations in clinical PET image reconstruction: advances in Bayesian penalized likelihood algorithm and deep learning.Annals of nuclear medicine · 2025Review
- Comparison of Digital versus AnalogDiagnostics (Basel, Switzerland) · 2023Article
- Improved [Quantitative imaging in medicine and surgery · 2023Article
- Phantom and clinical evaluation of the effect of a new Bayesian penalized likelihood reconstruction algorithm (HYPER Iterative) onEJNMMI research · 2022Article
- Deep progressive learning achieves whole-body low-doseEJNMMI physics · 2022Article
- Positron Range Corrections and Denoising Techniques for Gallium-68 PET Imaging: A Literature Review.Diagnostics (Basel, Switzerland) · 2022Review
- Small lesion depiction and quantification accuracy of oncologicalEJNMMI physics · 2022Article
- Exploration of the total-body PET/CT reconstruction protocol with ultra-lowEJNMMI physics · 2022Article
- The Impact of Total Variation Regularized Expectation Maximization Reconstruction onFrontiers in medicine · 2022Article
- Impact of total variation regularized expectation maximization reconstruction on the image quality ofThe British journal of radiology · 2021Article
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8 authors.
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Abstract
objectivesTo investigate the impact of total variation regularized expectation maximization (TVREM) reconstruction on the image quality of
methodsImages of a phantom with small hot sphere inserts and 20 prostate cancer patients were acquired with a digital PET/CT using list-mode and reconstructed with ordered subset expectation maximization (OSEM) and TVREM with seven penalisation factors between 0.01 and 0.42 for 2 and 3 minutes-per-bed (m/b) acquisition. The contrast recovery (CR) and background variability (BV) of the phantom, image noise of the liver, and SUV
resultsThe performance of CR, BV, and image noise, and the gain of SUV
conclusionsTVREM improves lesion contrast and reduces image noise, which allows shorter acquisition with preserved image quality for PSMA PET/CT. ADVANCES IN KNOWLEDGE: TVREM reconstruction with optimized penalization factors can generate higher quality PSMA-PET images for prostate cancer diagnosis.
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