Evidence map›Paper›PMID 32637377›Full record

ArticleJournal of biomedical physics & engineering2020

A Novel GPU-based Fast Monte Carlo Photon Dose Calculating Method for Accurate Radiotherapy Treatment Planning.

Karbalaee M, Shahbazi-Gahrouei D, Tavakoli M B

Abstract read
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Article in Journal of biomedical physics & engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Karbalaee MPhD, Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Shahbazi-Gahrouei DPhD, Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Tavakoli M BPhD, Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn accurate and fast radiation dose calculations method is the main part of treatment planning for successful radiation therapy.

objectiveThis work aimed to create a novel GPU-based fast Monte Carlo Photon Dose Code (MCPDC) as a fast and accurate tool in dose calculation for radiotherapy treatment planning. MATERIALS AND

methodsIn this analytical study, MCDPC was written to implement photon MC simulation for energies 0.01 to 20 MeV and run on an NVIDIA GTX970. The code was validated using DOSXYZnrc results and experimental measurements, performed by a Mapcheck dosimeter. Using the innovative definition of photon and electron interactions, mean calculation time for the MCPDC was 5.4 sec for 5e7 source particle history, significantly less than that of DOSXYZnrc which was 400 min.

resultsConsidering the simulations in the anthropomorphic phantom with bone and lung inhomogeneity, more than 96.1% of all significant voxels passed the gamma criteria of 3%-3 mm. Compared to the experimental dosimetry results, 97.6% or more of all significant voxels passed the acceptable clinical gamma index of 3%-3 mm.

conclusionVery fast calculation speed and high accuracy in dose calculation may allow the MCPDC to be used in radiotherapy as a central component of a treatment plan verification system and also as the dose calculation engine for MC-based planning. MCPDC is currently being developed for electron dose calculation module and graphic user interface. In addition, future work on the applicability of the improved version of the MCPDC in transit dosimetry of megavoltage CT is in process.

Indexed as

DosimetryDOSXYZnrcMonte Carlo MethodParallel ProcessingRadiation DosimetersRadiotherapy Treatment Planning

Identifiers

PMID32637377
PMCPMC7321392

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