ArticleMolecular imaging2016
Evaluation of a BGO-Based PET System for Single-Cell Tracking Performance by Simulation and Phantom Studies.
Article in Molecular imaging, 2016. 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.
- In Vivo Positron Emission Particle Tracking (PEPT) of Single Cells Using an Expectation Maximization Algorithm.IEEE transactions on medical imaging · 2026Article
- Ultrasensitive and multiplexed tracking of single cells using whole-body PET/CT.Science advances · 2024Article
- Single-Cell PET Imaging and Tracking.Methods in molecular biology (Clifton, N.J.) · 2024Article
- In vivo molecular and single cell imaging.BMB reports · 2022Review
- Performance of Dual-Ended Readout PET Detectors Based on BGO Arrays and BaSOIEEE transactions on radiation and plasma medical sciences · 2022Article
- Performance evaluation of dual-ended readout PET detectors based on BGO arrays with different reflector arrangements.Physics in medicine and biology · 2021Article
- The reduction ofPhysics in medicine and biology · 2020Article
- Single-Cell Imaging Using Radioluminescence Microscopy Reveals Unexpected Binding Target for [18F]HFB.Molecular imaging and biology · 2018Article
- Preclinical positron emission tomography scanner based on a monolithic annulus of scintillator: initial design study.Journal of medical imaging (Bellingham, Wash.) · 2017Article
- Three-dimensional spatiotemporal tracking of fluorine-18 radiolabeled yeast cells via positron emission particle tracking.PloS one · 2017Article
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Authors and funding
3 authors.
Funding
Abstract
A recent method based on positron emission was reported for tracking moving point sources using the Inveon PET system. However, the effect of scanner background noise was not further explored. Here, we evaluate tracking with the Genisys4, a bismuth germanate-based PET system, which has no significant intrinsic background and may be better suited to tracking lower and/or faster activity sources. Position-dependent sensitivity of the Genisys4 was simulated in Geant4 Application for Tomographic Emission (GATE) using a static (18)F point source. Trajectories of helically moving point sources with varying activity and rotation speed were reconstructed from list-mode data as described previously. Simulations showed that the Inveon's ability to track sources within 2 mm of localization error is limited to objects with a velocity-to-activity ratio < 0.13 mm/decay, compared to < 0.29 mm/decay for the Genisys4. Tracking with the Genisys4 was then validated using a physical phantom of helically moving [(18)F] fluorodeoxyglucose-in-oil droplets (< 0.24 mm diameter, 139-296 Bq), yielding < 1 mm localization error under the tested conditions, with good agreement between simulated sensitivity and measured activity (Pearson correlation R = .64, P << .05 in a representative example). We have investigated the tracking performance with the Genisys4, and results suggest the feasibility of tracking low activity, point source-like objects with this system.
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