Study of Monte Carlo dose calculation system aimed to clinical application

Y. Ishizawa; S. Dobashi; K. Sato; N. Kadoya; K. Ito; M. Chiba; K. Kishi; K. Takeda

Study of Monte Carlo dose calculation system aimed to clinical application

Y. Ishizawa, S. Dobashi, K. Sato, N. Kadoya, K. Ito, M. Chiba, K. Kishi, K. Takeda

Research output: Contribution to conference › Paper › peer-review

Abstract

In clinical situation, Monte Carlo (MC) simulation is often used as a gold standard to evaluate and investigate the errors between dose calculation algorithms. However, it is cumbersome to input into the MC calculation system the patient geometry data and the irradiation parameters which vary in clinical situations. The aim of this study is to make the laborious setup for the clinical MC calculation easy. We developed a MC dose calculation system in which these setup parameters are automatically input from CT images and DICOM-RT files. We confirmed that this system properly realized the patient geometry and the irradiation beam arrangement by comparing a dose distribution calculated by this system with the one by a commercial treatment planning system (TPS). This system is a useful tool to make it easy to prepare for MC calculation in the clinical cases.

Original language	English
Pages	33-37
Number of pages	5
Publication status	Published - 2015 Oct 1
Event	2015 22nd EGS Users' Meeting in Japan - Tsukuba, Japan Duration: 2015 Aug 3 → 2015 Aug 4

Conference

Conference	2015 22nd EGS Users' Meeting in Japan
Country	Japan
City	Tsukuba
Period	15/8/3 → 15/8/4

ASJC Scopus subject areas

Software

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title = "Study of Monte Carlo dose calculation system aimed to clinical application",

abstract = "In clinical situation, Monte Carlo (MC) simulation is often used as a gold standard to evaluate and investigate the errors between dose calculation algorithms. However, it is cumbersome to input into the MC calculation system the patient geometry data and the irradiation parameters which vary in clinical situations. The aim of this study is to make the laborious setup for the clinical MC calculation easy. We developed a MC dose calculation system in which these setup parameters are automatically input from CT images and DICOM-RT files. We confirmed that this system properly realized the patient geometry and the irradiation beam arrangement by comparing a dose distribution calculated by this system with the one by a commercial treatment planning system (TPS). This system is a useful tool to make it easy to prepare for MC calculation in the clinical cases.",

author = "Y. Ishizawa and S. Dobashi and K. Sato and N. Kadoya and K. Ito and M. Chiba and K. Kishi and K. Takeda",

year = "2015",

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T1 - Study of Monte Carlo dose calculation system aimed to clinical application

AU - Ishizawa, Y.

AU - Dobashi, S.

AU - Sato, K.

AU - Kadoya, N.

AU - Ito, K.

AU - Chiba, M.

AU - Kishi, K.

AU - Takeda, K.

PY - 2015/10/1

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N2 - In clinical situation, Monte Carlo (MC) simulation is often used as a gold standard to evaluate and investigate the errors between dose calculation algorithms. However, it is cumbersome to input into the MC calculation system the patient geometry data and the irradiation parameters which vary in clinical situations. The aim of this study is to make the laborious setup for the clinical MC calculation easy. We developed a MC dose calculation system in which these setup parameters are automatically input from CT images and DICOM-RT files. We confirmed that this system properly realized the patient geometry and the irradiation beam arrangement by comparing a dose distribution calculated by this system with the one by a commercial treatment planning system (TPS). This system is a useful tool to make it easy to prepare for MC calculation in the clinical cases.

AB - In clinical situation, Monte Carlo (MC) simulation is often used as a gold standard to evaluate and investigate the errors between dose calculation algorithms. However, it is cumbersome to input into the MC calculation system the patient geometry data and the irradiation parameters which vary in clinical situations. The aim of this study is to make the laborious setup for the clinical MC calculation easy. We developed a MC dose calculation system in which these setup parameters are automatically input from CT images and DICOM-RT files. We confirmed that this system properly realized the patient geometry and the irradiation beam arrangement by comparing a dose distribution calculated by this system with the one by a commercial treatment planning system (TPS). This system is a useful tool to make it easy to prepare for MC calculation in the clinical cases.

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