Effect of statistical uncertainties on Monte Carlo treatment planning

C. M. Ma; J. S. Li; S. B. Jiang; T. Pawlicki; W. Xiong; L. H. Qin; J. Yang

doi:10.1088/0031-9155/50/5/013

Effect of statistical uncertainties on Monte Carlo treatment planning

C. M. Ma, J. S. Li, S. B. Jiang, T. Pawlicki, W. Xiong, L. H. Qin, J. Yang

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Abstract

This paper reviews the effect of statistical uncertainties on radiotherapy treatment planning using Monte Carlo simulations. We discuss issues related to the statistical analysis of Monte Carlo dose calculations for realistic clinical beams using various variance reduction or time saving techniques. We discuss the effect of statistical uncertainties on dose prescription and monitor unit calculation for conventional treatment and intensity-modulated radiotherapy (IMRT) based on Monte Carlo simulations. We show the effect of statistical uncertainties on beamlet dose calculation and plan optimization for IMRT and other advanced treatment techniques such as modulated electron radiotherapy (MERT). We provide practical guidelines for the clinical implementation of Monte Carlo treatment planning and show realistic examples of Monte Carlo based IMRT and MERT plans.

Original language	English (US)
Pages (from-to)	891-907
Number of pages	17
Journal	Physics in medicine and biology
Volume	50
Issue number	5
DOIs	https://doi.org/10.1088/0031-9155/50/5/013
State	Published - Mar 7 2005

ASJC Scopus subject areas

Radiological and Ultrasound Technology
Radiology Nuclear Medicine and imaging

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title = "Effect of statistical uncertainties on Monte Carlo treatment planning",

abstract = "This paper reviews the effect of statistical uncertainties on radiotherapy treatment planning using Monte Carlo simulations. We discuss issues related to the statistical analysis of Monte Carlo dose calculations for realistic clinical beams using various variance reduction or time saving techniques. We discuss the effect of statistical uncertainties on dose prescription and monitor unit calculation for conventional treatment and intensity-modulated radiotherapy (IMRT) based on Monte Carlo simulations. We show the effect of statistical uncertainties on beamlet dose calculation and plan optimization for IMRT and other advanced treatment techniques such as modulated electron radiotherapy (MERT). We provide practical guidelines for the clinical implementation of Monte Carlo treatment planning and show realistic examples of Monte Carlo based IMRT and MERT plans.",

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AU - Ma, C. M.

AU - Li, J. S.

AU - Jiang, S. B.

AU - Pawlicki, T.

AU - Xiong, W.

AU - Qin, L. H.

AU - Yang, J.

PY - 2005/3/7

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AB - This paper reviews the effect of statistical uncertainties on radiotherapy treatment planning using Monte Carlo simulations. We discuss issues related to the statistical analysis of Monte Carlo dose calculations for realistic clinical beams using various variance reduction or time saving techniques. We discuss the effect of statistical uncertainties on dose prescription and monitor unit calculation for conventional treatment and intensity-modulated radiotherapy (IMRT) based on Monte Carlo simulations. We show the effect of statistical uncertainties on beamlet dose calculation and plan optimization for IMRT and other advanced treatment techniques such as modulated electron radiotherapy (MERT). We provide practical guidelines for the clinical implementation of Monte Carlo treatment planning and show realistic examples of Monte Carlo based IMRT and MERT plans.

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Effect of statistical uncertainties on Monte Carlo treatment planning

Abstract

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