ReviewMedical physics2013
Resolution modeling in PET imaging: theory, practice, benefits, and pitfalls.
Review in Medical physics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
130 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- EANM practice guideline/SNMMI procedure standard for dopaminergic imaging in Parkinsonian syndromes 1.0.European journal of nuclear medicine and molecular imaging · 2020Guideline
- IsContrast media & molecular imaging · 2020Pooled it
- Impact of partial-volume correction in oncological PET studies: a systematic review and meta-analysis.European journal of nuclear medicine and molecular imaging · 2017Pooled it
- Toward an optimized PET reconstruction protocol for spinal cord: superiority of OSEM with TOF and PSF.EJNMMI physics · 2026Article
- Support vector machine classification ofEuropean journal of nuclear medicine and molecular imaging · 2026Article
- Critical review of partial volume correction methods in PET and SPECT imaging: benefits, pitfalls, challenges, and future outlook.European journal of nuclear medicine and molecular imaging · 2026Review
- Development of a Prototype AWSM-PET Device for Augmented Whole-Body PET Imaging and Initial Human Study.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026Article
- MIRD Pamphlet No. 33: MIRDpvc-A Software Tool for Recovery Coefficient-Based Partial-Volume Correction.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Article
- YRT-PET: An Open-Source GPU-accelerated Image Reconstruction Engine for Positron Emission Tomography.IEEE transactions on radiation and plasma medical sciences · 2025Article
- Article
- Deep learning-based time-of-flight (ToF) enhancement of non-ToF PET scans for different radiotracers.European journal of nuclear medicine and molecular imaging · 2025Article
- Improvement of image quality for small lesion sizes inAsia Oceania journal of nuclear medicine & biology · 2025Article
- Phantom test procedures for a new neuro-oncological amino acid PET tracer: [Annals of nuclear medicine · 2025Article
- Quantification of FDG in the spinal cord using PET/MRI.Frontiers in nuclear medicine · 2025Article
- Performance Characteristics of a New Generation 148-cm Axial Field-of-View uMI Panorama GS PET/CT System with Extended NEMA NU 2-2018 and EARL Standards.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- Optimization of penalization function in Bayesian penalized likelihood reconstruction algorithm for [Physical and engineering sciences in medicine · 2024Article
- FAST (fast analytical simulator of tracer)-PET: an accurate and efficient PET analytical simulation tool.Physics in medicine and biology · 2024Article
- A Review of Machine Learning Approaches for Brain Positron Emission Tomography Data Analysis.Nuclear medicine and molecular imaging · 2024Review
- Phantom and clinical evaluation of the Bayesian penalised likelihood reconstruction algorithm Q.Clear without PSF correction in amyloid PET images.EJNMMI physics · 2024Article
- MRI and PET/CT in the assessment of lymph node metastases in head and neck cancer.Scientific reports · 2023Article
70 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
In this paper, the authors review the field of resolution modeling in positron emission tomography (PET) image reconstruction, also referred to as point-spread-function modeling. The review includes theoretical analysis of the resolution modeling framework as well as an overview of various approaches in the literature. It also discusses potential advantages gained via this approach, as discussed with reference to various metrics and tasks, including lesion detection observer studies. Furthermore, attention is paid to issues arising from this approach including the pervasive problem of edge artifacts, as well as explanation and potential remedies for this phenomenon. Furthermore, the authors emphasize limitations encountered in the context of quantitative PET imaging, wherein increased intervoxel correlations due to resolution modeling can lead to significant loss of precision (reproducibility) for small regions of interest, which can be a considerable pitfall depending on the task of interest.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.