ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2014
Evaluation of frame-based and event-by-event motion-correction methods for awake monkey brain PET imaging.
Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05105542 (Muscarinic M1 Receptor Availability and Cognition in Schizophrenia), which is not on this map. Cited by 10 papers.
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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.
Muscarinic M1 Receptor Availability and Cognition in Schizophrenia
Who cites it
10 citing papers in PubMed.
- PET Head Motion Estimation Using Supervised Deep Learning With Attention.IEEE transactions on medical imaging · 2026Article
- YRT-PET: An Open-Source GPU-accelerated Image Reconstruction Engine for Positron Emission Tomography.IEEE transactions on radiation and plasma medical sciences · 2025Article
- Performance Characteristics of the NeuroEXPLORER, a Next-Generation Human Brain PET/CT Imager.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- Fast Reconstruction for Deep Learning PET Head Motion Correction.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023Article
- Supervised Deep Learning for Head Motion Correction in PET.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2022Article
- Preliminary in vivo evidence of lower hippocampal synaptic density in cannabis use disorder.Molecular psychiatry · 2021Article
- Non-Rigid Event-by-Event Continuous Respiratory Motion Compensated List-Mode Reconstruction for PET.IEEE transactions on medical imaging · 2018Article
- Improved frame-based estimation of head motion in PET brain imaging.Medical physics · 2016Article
- Evaluation of bias and variance in low-count OSEM list mode reconstruction.Physics in medicine and biology · 2015Article
- Applications of the line-of-response probability density function resolution model in PET list mode reconstruction.Physics in medicine and biology · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
unlabelledPET imaging of nonhuman primates (NHPs) requires correction of head motion if the subjects are scanned awake and their heads are unrestrained, because the NHPs move their heads faster and more frequently than human subjects. This work focuses on designing and validating 2 motion-correction algorithms for awake NHP brain PET imaging.
methodsTwo motion-correction methods were implemented for awake NHP brain PET imaging: multiacquisition frame (MAF) and event-by-event (EBE). Motion data were acquired from an external motion-tracking device. The MAF method divides scan data into short subframes, reconstructs each subframe individually, and registers them to a reference orientation. This method suffers from residual intraframe motion and data loss when motion is large because a minimum frame duration is often required. The EBE method, previously implemented for a human brain scanner and adapted for a small-animal PET scanner in this work, eliminates intraframe motion and should have a best accuracy. We first evaluated the accuracy of both motion-correction methods with moving phantom scans. Both motion-correction methods were then applied to awake NHP brain PET studies with a gamma-aminobutyric acid A-benzodiazepine receptor ligand, (11)C-flumazenil, and the reconstructed images were compared with those from a motion-free anesthetized study.
resultsThe phantom studies showed that EBE motion correction recovers the contrast (within 3%) similarly to the static study, whereas MAF motion correction using the standard algorithm setting showed a 25% reduction in contrast from the static case. In awake NHP brain PET imaging, EBE motion correction better recovers the fine structures than the MAF method, as compared with anesthetized studies.
conclusionThe large magnitude and frequency of NHP head motion suggests that EBE motion correction with accurate externally measured motion data can noticeably alleviate image blurring due to the intraframe motion in the MAF motion-correction method.
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