ArticleFrontiers in medicine2022
The Impact of Total Variation Regularized Expectation Maximization Reconstruction on
Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 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 ofScientific reports · 2025Article
- 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
- Positron Range Corrections and Denoising Techniques for Gallium-68 PET Imaging: A Literature Review.Diagnostics (Basel, Switzerland) · 2022Review
- Relation of Brain Perfusion Patterns to Sudden Unexpected Death Risk Stratification: A Study in Drug Resistant Focal Epilepsy.Behavioral sciences (Basel, Switzerland) · 2022Article
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Authors and funding
7 authors.
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Abstract
Objective: The aim of this study was to investigate the effects of the total variation regularized expectation maximization (TVREM) reconstruction on improving Method: A total of 17 patients with neuroendocrine tumors who underwent clinical Results: In total, 63 lesions were analyzed in this study. The SUV Conclusion: TVREM could reduce image noise, improve the SNR, SUV
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Registered trials
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