Positron emission particle tracking in pulsatile flow

Patel, Nitant; Wiggins, Cody; Ruggles, Arthur E.

doi:10.1007/s00348-017-2330-1

Cited by 7 publications

(11 citation statements)

References 23 publications

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“…N LoR can be estimated for a given particle as the number of LoR passing within (w + 0.5) voxels of its calculated position. Tracer locations from individual timesteps can then be linked into trajectories by the nearest-neighbours method described in [85] and section 5.3, or the projection method described in [47,94].…”

Section: The Feature Point Identification Methods (Fpi)mentioning

confidence: 99%

“…These scanners offer even better sensitivity than 'normal' (human) ring scanners, but at the cost of a still smaller field of view (typically ∼100 mm diameter), restricting yet further the size of the system that can be investigated. At the University of Tennessee, PEPT experiments have been conducted [19,46,47] using such scanners, including a Concorde Microsystems microPET P4 [48] and a Siemens Inveon [49]; a newer scanner, the Mediso MultiScan LFER [50], is now being explored for PEPT deployment at Virginia Commonwealth University. This scanner is designed for primate imaging, and as such offers a slightly larger field of view than other animal scanners.…”

Section: Conventional Detector Systems (Ring and Planar Scannersmentioning

confidence: 99%

“…If between-frame displacements are particularly large (i.e. when imaging rapid flows and/or with low data acquisition rates), a more robust linking algorithm, described in [47,94], may be used. After this linking process, a second 're-linking' step is performed in which the start and end points of all trajectories are considered.…”

Section: G-means Clusteringmentioning

confidence: 99%

See 2 more Smart Citations

Recent advances in positron emission particle tracking: a comparative review

et al. 2022

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Positron emission particle tracking (PEPT) is a technique which allows the high-resolution, three-dimensional imaging of particulate and multiphase systems, including systems which are large, dense, and/or optically opaque, and thus difficult to study using other methodologies. In this work, we bring together researchers from the world's foremost PEPT facilities not only to give a balanced and detailed overview and review of the technique but, for the first time, provide a rigorous, direct, quantitative assessment of the relative strengths and weaknesses of all contemporary PEPT methodologies. We provide detailed explanations of the methodologies explored, including also interactive code examples allowing the reader to actively explore, edit and apply the algorithms discussed. The suite of benchmarking tests performed and described within the document is made available in an open-source repository for future researchers.

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Section: The Feature Point Identification Methods (Fpi)mentioning

confidence: 99%

Section: Conventional Detector Systems (Ring and Planar Scannersmentioning

confidence: 99%

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Recent advances in positron emission particle tracking: a comparative review

et al. 2022

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“…Uncertainties are taken to be the standard deviations of the mean in each spatial direction of each of the detected particle images as described in [ 25 ]. This uncertainty estimate is purely statistical and does not distinguish between measurement uncertainty and uncertainty due to tracer movement, nor does it reflect any biases associated with the measurement itself.…”

Section: Methodsmentioning

confidence: 99%

Three-dimensional spatiotemporal tracking of fluorine-18 radiolabeled yeast cells via positron emission particle tracking

Langford¹,

Wiggins²,

Santos³

et al. 2017

PLoS ONE

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A method for Positron Emission Particle Tracking (PEPT) based on optical feature point identification techniques is demonstrated for use in low activity tracking experiments. A population of yeast cells of approximately 125,000 members is activated to roughly 55 Bq/cell by 18 F uptake. An in vitro particle tracking experiment is performed with nearly 20 of these cells after decay to 32 Bq/cell. These cells are successfully identified and tracked simultaneously in this experiment. This work extends the applicability of PEPT as a cell tracking method by allowing a number of cells to be tracked together, and demonstrating tracking for very low activity tracers.

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“…To achieve single-cell sensitivity with PET, a novel tracking method was recently developed [20]. This method builds on a previous technique, known as positron emission particle tracking (PEPT), used primarily for measuring liquid and particulate flows in opaque industrial systems [21–25]. Unlike conventional PET, PEPT uses list-mode data to directly localise discrete sources, without the intermediate step of reconstructing the image.…”

Section: Introductionmentioning

confidence: 99%

Single-Cell Imaging Using Radioluminescence Microscopy Reveals Unexpected Binding Target for [18F]HFB

et al. 2017

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Purpose Cell-based therapies are showing great promise for a variety of diseases, but remain hindered by the limited information available regarding the biological fate, migration routes and differentiation patterns of infused cells in trials. Previous studies have demonstrated the feasibility of using positron emission tomography (PET) to track single cells utilising an approach known as positron emission particle tracking (PEPT). The radiolabel hexadecyl-4-[18F] fluorobenzoate ([18F]HFB) was identified as a promising candidate for PEPT, due to its efficient and long-lasting labelling capabilities. The purpose of this work was to characterise the labelling efficiency of [18F]HFB in vitro at the single-cell level prior to in vivo studies. Procedures The binding efficiency of [18F]HFB to MDA-MB-231 and Jurkat cells was verified in vitro using bulk gamma counting. The measurements were subsequently repeated in single cells using a new method known as radioluminescence microscopy (RLM) and binding of the radiolabel to the single cells was correlated with various fluorescent dyes. Results Similar to previous reports, bulk cell labelling was significantly higher with [18F]HFB (18.75 ± 2.47 dpm/cell) than [18F]FDG (7.59 ± 0.73 dpm/cell). However, single-cell imaging using RLM revealed that [18F]HFB accumulation in live cells (8.35 ± 1.48 cpm/cell, n = 9) was not significantly higher than background levels (4.83 ± 0.52 cpm/cell, n = 12) and was 1.7 fold lower than [18F]FDG uptake in the same cell line (14.09 ± 1.90 cpm/cell, n = 13; p < 0.01). Instead, [18F]HFB was found to bind significantly to fragmented membranes associated with dead cell nuclei, suggesting an alternative binding target for [18F]HFB. Conclusion This study demonstrates that bulk analysis alone does not always accurately portray the labelling efficiency, highlighting the need for more routine screening of radiolabels using RLM to identify heterogeneity at the single-cell level.

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Positron emission particle tracking in pulsatile flow

Cited by 7 publications

References 23 publications

Recent advances in positron emission particle tracking: a comparative review

Recent advances in positron emission particle tracking: a comparative review

Three-dimensional spatiotemporal tracking of fluorine-18 radiolabeled yeast cells via positron emission particle tracking

Single-Cell Imaging Using Radioluminescence Microscopy Reveals Unexpected Binding Target for [18F]HFB

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