ArticleAnnals of nuclear medicine2022
Brain partial volume correction with point spreading function reconstruction in high-resolution digital PET: comparison with an MR-based method in FDG imaging.
Article in Annals of nuclear medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 20 citations in OpenAlex.
- Clinical Utility of Z-Score Distribution Mapping in Epileptogenic Zone Localizations.CNS neuroscience & therapeutics · 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
- Understanding nonlinearity in statistical image reconstruction for nuclear medicine.Radiological physics and technology · 2025Article
- Validity of a simple spillover correction for positron emission tomography measurements in the cerebrospinal fluid region.Radiological physics and technology · 2025Article
- Innovations in clinical PET image reconstruction: advances in Bayesian penalized likelihood algorithm and deep learning.Annals of nuclear medicine · 2025Review
- Arrival time mapping withEJNMMI research · 2025Article
- Deep learning-based partial volume correction in standard and low-dose positron emission tomography-computed tomography imaging.Quantitative imaging in medicine and surgery · 2024Article
- Visualization of small brain nuclei with a high-spatial resolution, clinically available whole-body PET scanner.Annals of nuclear medicine · 2024Article
- Deep learning study on the mechanism of edge artifacts in point spread function reconstruction for numerical brain images.Annals of nuclear medicine · 2023Article
- Advances in PET imaging of cancer.Nature reviews. Cancer · 2023Review
- A cycle-consistent adversarial network for brain PET partial volume correction without prior anatomical information.European journal of nuclear medicine and molecular imaging · 2023Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIn quantitative positron emission tomography (PET) of the brain, partial volume effect due mainly to the finite spatial resolution of the PET scanner (> 3 mm full width at half maximum [FWHM]) is a primary source of error in the measurement of tracer uptake, especially in small structures such as the cerebral cortex (typically < 3 mm thickness). The aim of this study was to evaluate the partial volume correction (PVC) performance of point spread function-incorporated reconstruction (PSF reconstruction) in combination with the latest digital PET scanner. This evaluation was performed through direct comparisons with magnetic resonance imaging (MR)-based PVC (used as a reference method) in a human brain study.
methodsTen healthy subjects underwent brain
resultsCortical structures were visualized by PSF reconstruction with several tens of iterations and were anatomically well matched with the MR-derived cortical segments. Higher numbers of iterations resulted in higher cortical SUVRs, which approached those of MR-based PVC (1.76), although even with the maximum number of iterations they were still smaller by 16% (1.47), corresponding to approximately 1.5-mm FWHM of the effective spatial resolution.
conclusionWith the latest digital PET scanner, PSF reconstruction can be used as a PVC technique in brain PET, albeit with suboptimal resolution recovery. A relative advantage of PSF reconstruction is that it can be applied not only to cerebral cortical regions, but also to various small structures such as small brain nuclei that are hardly visualized on anatomical T1-weighted imaging, and thus hardly recovered by MR-based PVC.
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