An improved algorithm for tracking multiple, freely moving particles in a Positron Emission Particle Tracking system-Reference-Cited by-同舟云学术

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An improved algorithm for tracking multiple, freely moving particles in a Positron Emission Particle Tracking system

Published:2007-07 Issue:3 Volume:577 Page:585-594
ISSN:0168-9002
Container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
language:en
Short-container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Author:

Yang Z.,Fryer P.J.,Bakalis S.,Fan X.,Parker D.J.,Seville J.P.K.

Funder

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference24 articles.

1. Labelling a single particle for positron emission particle tracking using direct activation and ion-exchange techniques

2. Enhancing 18F uptake in a single particle for positron emission particle tracking through modification of solid surface chemistry

3. Application of positron emission tomography to particulate flow measurement in chemical engineering processes

4. Positron emission particle tracking - a technique for studying flow within engineering equipment

5. Positron emission tomography for process applications

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1. Validation of simulations of particulate, fluid and multiphase systems using positron emission particle tracking: A review;Particuology;2024-07

2. Application of Positron Emission Particle Tracking (PEPT) for the evaluation of powder behaviour in an incline linear blender for Continuous Direct Compression (CDC);International Journal of Pharmaceutics;2023-10

3. Recent advances in positron emission particle tracking: a comparative review;Reports on Progress in Physics;2022-01-01

4. Positron Emission Particle Tracking of Granular Flows;Annual Review of Chemical and Biomolecular Engineering;2020-06-07

5. Positron emission particle tracking using machine learning;Review of Scientific Instruments;2020-01-01

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