An Analytic Linear Accelerator Source Model for Monte Carlo Dose Calculations. I. Model Representation and Construction
Zhen Tian, Yongbao Li, Michael Folkerts, Feng Shi, Steve B. Jiang, Xun, Jia

TL;DR
This paper introduces an analytical source model for GPU-based Monte Carlo dose calculations in radiotherapy, using phase-space rings to accurately simulate particle distributions and improve dose calculation precision.
Contribution
The paper presents a novel phase-space-ring based analytical source model for linear accelerators, enabling efficient and accurate Monte Carlo dose simulations on GPUs.
Findings
Dose calculations matched reference data within 1 mm DTA.
Dose profile differences were within 1.1% RMS.
Output factors differed by less than 0.5%.
Abstract
Monte Carlo (MC) simulation is considered as the most accurate method for radiation dose calculations. Accuracy of a source model for a linear accelerator is critical for the overall dose calculation accuracy. In this paper, we presented an analytical source model that we recently developed for GPU-based MC dose calculations. A key concept called phase-space-ring (PSR) was proposed. It contained a group of particles that are of the same type and close in energy and radial distance to the center of the phase-space plane. The model parameterized probability densities of particle location, direction and energy for each primary photon PSR, scattered photon PSR and electron PSR. For a primary photon PSRs, the particle direction is assumed to be from the beam spot. A finite spot size is modeled with a 2D Gaussian distribution. For a scattered photon PSR, multiple Gaussian components were used…
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Taxonomy
TopicsAdvanced Radiotherapy Techniques · Radiation Therapy and Dosimetry · Radiation Detection and Scintillator Technologies
