ArticleMedical physics2020
Technical Note: Ultra high-resolution radiotracer-specific digital pet brain phantoms based on the BigBrain atlas.
Article in Medical physics, 2020. 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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Who cites it
11 citing papers in PubMed.
- Registration accuracy of amyloid/tau-PET to brain MRI using modified SPM method.Annals of nuclear medicine · 2026Article
- Multi-angle acquisition and 3D composite reconstruction for organ-targeted PET using planar detectors.Medical physics · 2025Article
- PICASSO: a universal brain phantom for positron emission tomography based on the activity painting technique.Physics in medicine and biology · 2024Article
- Design Optimisation of a Flat-Panel, Limited-Angle TOF-PET Scanner: A Simulation Study.Diagnostics (Basel, Switzerland) · 2024Article
- ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimages.EJNMMI research · 2024Article
- Modular GAN: positron emission tomography image reconstruction using two generative adversarial networks.Frontiers in radiology · 2024Article
- AI for PET image reconstruction.The British journal of radiology · 2023Review
- Guided block matching and 4-D transform domain filter projection denoising method for dynamic PET image reconstruction.EJNMMI physics · 2023Article
- Voxel-based partial volume correction of PET images via subtle MRI guided non-local means regularization.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2021Article
- SimPET-An open online platform for the Monte Carlo simulation of realistic brain PET data. Validation forMedical physics · 2021Article
- Bootstrap-Optimised Regularised Image Reconstruction for Emission Tomography.IEEE transactions on medical imaging · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
purposeTo introduce a method that allows the generation of ultra high-resolution (submillimeter) heterogeneous digital PET brain phantoms and to provide a new publicly available [
methodThe radiotracer distribution of the phantom is estimated by minimizing the Kullback-Leibler distance between the parameterized unknown phantom distribution and a radiotracer-specific template used as a reference. The phantom is modelled using the histological and tissue classified volumes of the BigBrain atlas to provide both high resolution and heterogeneity. The Hammersmith brain atlas is also included to allow the estimation of different activity values in different anatomical regions of the brain. Using this method, a realistic [
resultsAn ultra high-resolution (400 μm voxel size) and heterogeneous phantom for [
conclusionsA method to create high-resolution heterogeneous digital brain phantoms for different PET radiotracers has been presented and successfully employed to create a new publicly available [
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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.