Published June 2015 | Version v1
Journal article

SU-E-T-805: Verification of the Simplified Monte Carlo Method for Simulation in An Inhomogeneous Phantom

  • 1. Graduate School of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Ibaraki (Japan)
  • 2. National Cancer Center Hospital East, Kashiwa, Chiba (Japan)

Description

Purpose: A simplified Monte Carlo (SMC) method has been developed to obtain fast and accurate dose calculation in heterogeneous tissues to improve the accuracy of dose calculation. We have applied the SMC method to calculation of dose kernels for the pencil beam scanning. While the SMC method tracks individual primary protons in medium, it simplifies the dose calculation by using a measured depth-dose distribution instead of considering nuclear reactions and tracking secondary particles. To verify the accuracy of SMC calculation, we compared a dose-calculation Result using the SMC method with that using the Full Monte Carlo (FMC) method in an inhomogeneous phantom. Methods: As a model of the inhomogeneous media, we considered a phantom complied of a rectangular acrylic block of size 150*300*200 mm 3 immersed in water within a virtual container with a size of 300*300*400 mm3. Results: We found excellent agreement of overall dose distributions between the SMC and FMC methods. As for the laterally integrated depth-dose distributions, slight difference was found in front of the second Bragg-Peak between the two algorithms. While it took 25717.0 s on 2.7 GHz Intel Core i7 for the FMC method to complete the calculation, it took 15.4 s for the SMC method to complete it. The SMC method can calculate the dose distribution approximately 1675 times faster than the FMC method. Conclusion: The dose distribution obtained by SMC method agreed well that obtained by the FMC method in a simple inhomogeneous phantom. In contrast, calculation time by the SMC method has been reduced by three orders in magnitude compared with the FMC method

Additional details

Identifiers

Publishing Information

Journal Title
Medical Physics
Journal Volume
42
Journal Issue
6
Journal Page Range
vp.
ISSN
0094-2405
CODEN
MPHYA6

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47126327
Subject category
S60: APPLIED LIFE SCIENCES;
Descriptors DEI
ACCURACY; ALGORITHMS; ANIMAL TISSUES; BRAGG CURVE; DEPTH DOSE DISTRIBUTIONS; KERNELS; MONTE CARLO METHOD; PARTICLE TRACKS; PHANTOMS; RADIATION DOSES; VERIFICATION
Descriptors DEC
BODY; CALCULATION METHODS; DIAGRAMS; DOSES; INFORMATION; MATHEMATICAL LOGIC; MOCKUP; RADIATION DOSE DISTRIBUTIONS; SPATIAL DOSE DISTRIBUTIONS; STRUCTURAL MODELS

Optional Information

Notes
(c) 2015 American Association of Physicists in Medicine