liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Efficiency gain in Monte Carlo simulations using correlated sampling. Application to calculations of absorbed dose distributions in a brachytherapy geometry
Linköping University, Department of Medicine and Care, Radiation Physics. Linköping University, Faculty of Health Sciences.ORCID iD: 0000-0003-1257-2383
Linköping University, Department of Medicine and Care, Radiation Physics. Linköping University, Faculty of Health Sciences.
Department of Radiation Oncology, Virginia Commonwealth University, Richmond, USA.
Linköping University, Department of Medicine and Care, Radiation Physics. Linköping University, Faculty of Health Sciences.
(English)Manuscript (preprint) (Other academic)
Abstract [en]

The distribution of an estimate of the efficiency gain of the Monte Carlo method based on correlated sampling was simulated, the corresponding 95 % confidence interval was evaluated, and the bias of the estimate was determined. The concept of batches which normalize distributions of scored quantities was used. It was found that the distribution of the estimate of the efficiency gain was sensitive to outliers and could not be described by the F distribution, Two other estimates of an alternative definition of the efficiency gain were tested. They were more robust but their applicability was limited due to their bias when batch averages were not normally distributed.

National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-84495OAI: oai:DiVA.org:liu-84495DiVA: diva2:559728
Available from: 2012-10-10 Created: 2012-10-10 Last updated: 2013-09-06Bibliographically approved
In thesis
1. Dosimetry in brachytherapy: application of the Monte Carlo method to single source dosimetry and use of correlated sampling for accelerated dose calculations
Open this publication in new window or tab >>Dosimetry in brachytherapy: application of the Monte Carlo method to single source dosimetry and use of correlated sampling for accelerated dose calculations
2003 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Three issues related to brachytherapy dosimetry are addressed in this thesis. (1) The prospect of using Compton scattering to measure energy spectra from a high dose-rate (HDR) 192Ir source is discussed and a Compton spectrometer evaluated. Promising results are demonstrated but further fine-tuning is needed to resolve problems with background subtraction. (2) Absorbed doses around an interstitial brachytherapy 125I-source (the Symmetra™ seed) are calculated in the TG-43 formalism using Monte Carlo (MC) techniques. A review of the literature on current measurements and MC simulations indicate systematic differences of 3-6% for the model 6702 seed and points to the need for renewed attention to the dosimetry of low-energy photons and careful estimations of uncertainty. The problems concern among other points: the energy response of LiF dosemeters including LET (Linear Energy Transfer) dependence and the influence of high atomic number doping materials, the atomic compositions of Solid Water and other phantom materials used in MC simulations, the proper MC simulation of the new NIST (National Institute of Standards and Technology) air-kerma strength calibration standard based on the wide-angle free air chamber, and the benchmarking of MC codes. (3) In order to promote development of MC based dose planning, correlated sampling as a means of speeding-up MC calculations is evaluated. In this pilot study, simplified physics is used. Only the photoelectric effect (disregarding the emission of characteristic x-rays) and Compton scattering (Klein-Nishina) are considered. Analogue (ANL) and expected value track-length (ETL) estimations are compared. Efficiency gains (relative to uncorrelated ETL estimations) are calculated for simplified geometries with a point isotropic source and a cylindrical heterogeneity of air, AI and W in a water medium. Efficiency gains of 103 - 104 were obtained for modest perturbations (heterogeneity correction factors HCF [0.8 <HCF < 1.2]). At large perturbations [HCF ≈ 0.4-0.5], in volume elements (voxels) behind the heterogeneity, correlated sampling can be even less efficient than uncorrelated sampling. With correlated ETL estimation, an overall gain in efficiency was, however, achieved and relative standard deviations less than 2% were obtained in 90% of the voxels for an 1251- source and 1-hour computing-time. Uncorrelated ETL estimation was 10-100 times more efficient than uncorrelated ANL estimation. Although promising, correlated sampling should be combined with some other variance reduction technique to reduce the variance everywhere in the volume. Analysis of the uncertainties of estimated efficiency gains shows that the use of the Fisher F distribution to derive their confidence intervals is suspect.

Place, publisher, year, edition, pages
Linköping: Linköpings universitet, 2003. 59 p.
Series
Linköping University Medical Dissertations, ISSN 0345-0082 ; 790
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-27489 (URN)12143 (Local ID)91-7373-549-3 (ISBN)12143 (Archive number)12143 (OAI)
Public defence
2003-05-27, Berzeliussalen, Hälsouniversitet, Linköping, 09:00 (Swedish)
Opponent
Available from: 2009-10-08 Created: 2009-10-08 Last updated: 2012-10-10Bibliographically approved

Open Access in DiVA

No full text

Authority records BETA

Malusek, AlexandrHedtjärn, Håkan

Search in DiVA

By author/editor
Malusek, AlexandrHedtjärn, Håkan
By organisation
Radiation PhysicsFaculty of Health Sciences
Medical and Health Sciences

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 33 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf