H Lee - Biomedical Engineering Letters, 2024 - Springer
In radiation-based medical imaging research, computational modeling methods are used to design and validate imaging systems and post-processing algorithms. Monte Carlo methods …
Abstract Positron Emission Particle Tracking (PEPT) is a Lagrangian particle tracking technique useful for imaging flow in opaque granular media. The scientific and industrial …
Abstract A GATE Monte Carlo model of the Philips Vereos digital photon counting PET imaging system using silicon photo-multiplier detectors was proposed. It was evaluated …
The spatiotemporal resolution of Lagrangian particle trajectories captured using Positron Emission Particle Tracking (PEPT) is difficult to predict prior to experimentation, since this …
A novel detection algorithm for Positron Emission Particle Tracking (PEPT) with multiple tracers based on optical feature point identification (FPI) methods is presented. This new …
Positron emission particle tracking (PEPT) is a non-invasive technique used to study fluid, granular, and multi-phase systems of interest to academia and industry. PEPT employs …
C Wiggins, N Patel, Z Bingham, A Ruggles - Chemical Engineering Science, 2019 - Elsevier
Positron emission particle tracking (PEPT) has been shown to be useful for flow interrogation in opaque systems. In this work, a recently developed method for multiple …
Simulating the response of a radiation detector is a modelling challenge due to the stochastic nature of radiation, often complex geometries, and multi-stage signal processing …
Abstract Positron Emission Particle Tracking (PEPT) is an emerging measurement technique for Lagrangian data collection in experimental fluid flows. The nature of the measurement …