Development and evaluation of dose calculation algorithm with a combination of Monte Carlo and point-kernel methods for boron neutron capture therapy
Development and evaluation of dose calculation algorithm with a combination of Monte Carlo and point-kernel methods for boron neutron capture therapy
复制标题
结合蒙特卡罗和点核方法的硼中子俘获治疗剂量计算算法的开发和评估
DOI:
10.1088/2057-1976/acc33c
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发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Tanaka Hiroki
中科院分区:
文献类型:
--
作者:
Nojiri Mai;Takata Takushi;Hu Naonori;Sakurai Yoshinori;Suzuki Minoru;Tanaka Hiroki
We developed a'hybrid algorithm'that combines the Monte Carlo (MC) and point-kernel methods for fast dose calculation in boron neutron capture therapy. The objectives of this study were to experimentally verify the hybrid algorithm and to verify the calculation accuracy and time of a'complementary approach'adopting both the hybrid algorithm and the full-energy MC method. In the latter verification, the results were compared with those obtained using the full-energy MC method alone. In the hybrid algorithm, the moderation process of neutrons is simulated using only the MC method, and the thermalization process is modeled as a kernel. The thermal neutron fluxes calculated using only this algorithm were compared with those measured in a cubic phantom. In addition, a complementary approach was used for dose calculation in a geometry simulating the head region, and its computation time and accuracy were verified. The experimental verification indicated that the thermal neutron fluxes calculated using only the hybrid algorithm reproduced the measured values at depths exceeding a few centimeters, whereas they overestimated those at shallower depths. Compared with the calculation using only the full-energy MC method, the complementary approach reduced the computation time by approximately half, maintaining nearly same accuracy. When focusing on the calculation only using the hybrid algorithm only for the boron dose attributed to the reaction of thermal neutrons, the computation time was expected to reduce by 95% compared with the calculation using only the full-energy MC method. In conclusion, modeling the thermalization process as a kernel was effective for reducing the computation time.
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DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
Toshima Takeo;Fujimori Nao;Yoshizumi Tomoharu;Itoh Shinji;Nagao Yoshihiro;Harada Noboru;Oono Takamasa;Mori Masaki;井川和代
通讯作者:
井川和代
影响因子:
1.6
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Joensuu, H.
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3.8
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B. J. Albertson;T. Blue;J. Niemkiewicz
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J. Niemkiewicz
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3.5
作者:
R. Fairchild
通讯作者:
R. Fairchild
DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
Naonori Hu;Hiroki Tanaka;Ryo Kakino;Syuushi Yoshikawa;Mamoru Miyao;Kazuhiko Akita;Kayako Isohashi;Teruhito Aihara;Keiji Nihei;Koji Ono
通讯作者:
Koji Ono