ArticleEuropean journal of nuclear medicine and molecular imaging2023
A cycle-consistent adversarial network for brain PET partial volume correction without prior anatomical information.
Article in European journal of nuclear medicine and molecular imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Simultaneous partial volume correction and denoising of brain PET images, using transformers and transfer learning.EJNMMI research · 2026Article
- A rapid total-body PET imaging approach for pediatric patients using non-attenuation-corrected PET scans.EJNMMI physics · 2026Article
- SPECT and PET imaging of Alzheimer's disease revisited: from biomarkers to artificial intelligence-based prediction.Annals of nuclear medicine · 2026Review
- Evaluation of regularization factor and attenuation correction method of Q.Clear reconstruction for brain PET/MR in epileptic patients.EJNMMI physics · 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
- Generation of an Age-Dependent and HarmonizedHuman brain mapping · 2026Article
- 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
- Comparison of the Correlation Between Cerebral [Molecular imaging and biology · 2025Article
- Partial volume correction of PET image data using geometric transfer matrices based on uniform B-splines.Physics in medicine and biology · 2024Article
- New Horizons in Brain PET Instrumentation.PET clinics · 2024Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
purposePartial volume effect (PVE) is a consequence of the limited spatial resolution of PET scanners. PVE can cause the intensity values of a particular voxel to be underestimated or overestimated due to the effect of surrounding tracer uptake. We propose a novel partial volume correction (PVC) technique to overcome the adverse effects of PVE on PET images.
methodsTwo hundred and twelve clinical brain PET scans, including 50
resultsThe Bland and Altman analysis showed the largest and smallest variance for
conclusionAn end-to-end CycleGAN PVC method was developed and evaluated. Our model generates PVC images from the original non-PVC PET images without requiring additional anatomical information, such as MRI or CT. Our model eliminates the need for accurate registration or segmentation or PET scanner system response characterization. In addition, no assumptions regarding anatomical structure size, homogeneity, boundary, or background level are required.
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Registered trials
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