TY - GEN
T1 - Using correlated sampson to accelerate CT-based Monte Carlo dose calculations for brachytherapy treatment planning
AU - Sampson, A.
AU - Le, Y.
AU - Todor, D.
AU - Williamson, J.
N1 - Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - The aim of this study was to assess the impact on efficiency and accuracy of a correlated sampling Monte Carlo simulation code for evaluating clinical brachytherapy dose distributions, accounting for tissue-composition and applicator heterogeneities. This code was built upon an extensively benchmarked Monte Carlo code, PTRAN-CCG and a CT-like cross-section map derived from patient single-energy CT images. Differences between PTRAN-CCG and the correlated code, expressed relative to the statistical uncertainty were found to be normally distributed with a standard deviation of 1.00 and a mean of -0.109 indicating that the correlated and conventional Monte Carlo agree within statistical error. Correlated sampling increases efficiency by factors of 7.1, 9.1, and 10.4, for greater than 20%, 50% and 90% of D90, respectively, for a 2×2×2 mm voxel grid.
AB - The aim of this study was to assess the impact on efficiency and accuracy of a correlated sampling Monte Carlo simulation code for evaluating clinical brachytherapy dose distributions, accounting for tissue-composition and applicator heterogeneities. This code was built upon an extensively benchmarked Monte Carlo code, PTRAN-CCG and a CT-like cross-section map derived from patient single-energy CT images. Differences between PTRAN-CCG and the correlated code, expressed relative to the statistical uncertainty were found to be normally distributed with a standard deviation of 1.00 and a mean of -0.109 indicating that the correlated and conventional Monte Carlo agree within statistical error. Correlated sampling increases efficiency by factors of 7.1, 9.1, and 10.4, for greater than 20%, 50% and 90% of D90, respectively, for a 2×2×2 mm voxel grid.
KW - Brachytherapy
KW - Correlated sampling
KW - Monte Carlo
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U2 - 10.1007/978-3-642-03474-9_88
DO - 10.1007/978-3-642-03474-9_88
M3 - Conference contribution
AN - SCOPUS:77950443111
SN - 9783642034725
T3 - IFMBE Proceedings
SP - 311
EP - 314
BT - World Congress on Medical Physics and Biomedical Engineering
PB - Springer Verlag
T2 - World Congress on Medical Physics and Biomedical Engineering: Radiation Oncology
Y2 - 7 September 2009 through 12 September 2009
ER -