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Published on: February 1, 2016
Analytical positron range modelling in heterogeneous media for PET Monte Carlo simulation
Wencke Lehnert1, Marie-Claude Gregoire, Anthonin Reilhac
1Discipline of Medical Radiation Sciences, Faculty of Health Sciences, University of Sydney, PO Box 170, Lidcombe NSW 1825, Australia. wlehnert@uni.sydney.edu.au
This study presents an efficient analytical model for positron range simulation, improving speed in Monte Carlo simulations. The method accurately models annihilation density distributions, especially for low-energy positron emitters like (18)F.
Area of Science:
- Medical Physics
- Computational Imaging
- Radiochemistry
Background:
- Monte Carlo (MC) simulations are accurate for positron interactions but computationally slow.
- Analytical models offer a faster alternative for positron range estimation.
- Simulating positron range in heterogeneous media presents a significant challenge.
Purpose of the Study:
- To efficiently implement and validate an analytical positron range model.
- To incorporate medium heterogeneity into the analytical model.
- To investigate the influence of positronium formation on positron range and simulation accuracy.
Main Methods:
- Developed and validated an analytical model for positron range using annihilation density distributions.
- Compared analytical model results with the GATE Monte Carlo simulator.
- Investigated positronium formation effects on positron range and simulation performance.
Main Results:
- 1D annihilation density distributions were accurately fitted with Gaussian functions and stored in look-up tables.
- The analytical model, including heterogeneity, enables efficient positron range modeling in MC simulations.
- The model showed good agreement with GATE for lower energy positron emitters like (18)F and (11)C.
Conclusions:
- The developed analytical model provides an efficient and accurate method for simulating positron range, particularly for lower energy emitters.
- The approach is suitable for integration into Monte Carlo simulations, enhancing computational efficiency.
- Further research is needed to draw reliable conclusions on the impact of positronium formation.
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