@inproceedings{e1afb4c3ba9e4a06a5505eb321ffeb37,
title = "Using correlated sampson to accelerate CT-based Monte Carlo dose calculations for brachytherapy treatment planning",
abstract = "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.",
keywords = "Brachytherapy, Correlated sampling, Monte Carlo",
author = "A. Sampson and Y. Le and D. Todor and J. Williamson",
year = "2009",
doi = "10.1007/978-3-642-03474-9_88",
language = "English",
isbn = "9783642034725",
series = "IFMBE Proceedings",
publisher = "Springer Verlag",
number = "1",
pages = "311--314",
booktitle = "World Congress on Medical Physics and Biomedical Engineering",
edition = "1",
note = "World Congress on Medical Physics and Biomedical Engineering: Radiation Oncology ; Conference date: 07-09-2009 Through 12-09-2009",
}