Development of a new multi-modal Monte-Carlo radiotherapy planning system

被引:6
|
作者
Kumada, H. [1 ,2 ]
Nakamura, T. [1 ,3 ]
Komeda, M. [1 ]
Matsumura, A. [2 ]
机构
[1] Japan Atom Energy Agcy, Dept Res Reactor & Tandem Accelerator, Tokai, Ibaraki, Japan
[2] Univ Tsukuba, Grad Sch Comprehens Human Sci, Tsukuba, Ibaraki, Japan
[3] Ibaraki Univ, Grad Sch Sci & Engn, Mito, Ibaraki, Japan
关键词
BNCT; Treatment planning; Monte-Carlo; Computational dosimetry; JRR-4; BNCT;
D O I
10.1016/j.apradiso.2009.03.028
中图分类号
O61 [无机化学];
学科分类号
070301 ; 081704 ;
摘要
A new multi-modal Monte-Carlo radiotherapy planning system (developing code: JCDS-FX) is under development at Japan Atomic Energy Agency. This system builds on fundamental technologies of JCDS applied to actual boron neutron capture therapy (BNCT) trials in JRR-4. One of features of the JCDS-FX is that PHITS has been applied to particle transport calculation. PHITS is a multi-purpose particle Monte-Carlo transport code. Hence application of PHITS enables to evaluate total doses given to a patient by a combined modality therapy. Moreover, JCDS-FX with PHITS can be used for the study of accelerator based BNCT. To verify calculation accuracy of the JCDS-FX, dose evaluations for neutron irradiation of a cylindrical water phantom and for an actual clinical trial were performed, then the results were compared with calculations by JCDS with MCNP The verification results demonstrated that JCDS-FX is applicable to BNCT treatment planning in practical use. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:S118 / S121
页数:4
相关论文
共 50 条
  • [21] A NEW MONTE-CARLO MODEL OF LUNAR MEGAREGOLITH DEVELOPMENT
    CASHORE, J
    WORONOW, A
    JOURNAL OF GEOPHYSICAL RESEARCH, 1985, 90 : C811 - C815
  • [22] Monte Carlo for Radiotherapy Treatment Planning
    Ma, C.
    MEDICAL PHYSICS, 2009, 36 (06)
  • [23] A NEW USE FOR MONTE-CARLO
    Kaufman, Larry
    ICGA JOURNAL, 2010, 33 (02) : 118 - 118
  • [24] MONTE-CARLO SIMULATION OF DOSE DISTRIBUTION IN ELECTRON-BEAM RADIOTHERAPY TREATMENT PLANNING
    MANFREDOTTI, C
    NASTASI, U
    MARCHISIO, R
    ONGARO, C
    GERVINO, G
    RAGONA, R
    ANGLESIO, S
    SANNAZZARI, G
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 1990, 291 (03): : 646 - 654
  • [25] Cyclical Variational Bayes Monte Carlo for efficient multi-modal posterior distributions evaluation
    Igea, Felipe
    Cicirello, Alice
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, 186
  • [26] Monte-Carlo Planning for Agile Legged Locomotion
    Clary, Patrick
    Morais, Pedro
    Fern, Alan
    Hurst, Jonathan
    TWENTY-EIGHTH INTERNATIONAL CONFERENCE ON AUTOMATED PLANNING AND SCHEDULING (ICAPS 2018), 2018, : 446 - 450
  • [27] A MONTE-CARLO SIMULATION OF A PRODUCTION PLANNING PROBLEM
    MUSK, FI
    COMPUTER JOURNAL, 1959, 2 (02): : 90 - 94
  • [28] Faithful Question Answering with Monte-Carlo Planning
    Hong, Ruixin
    Zhang, Hongming
    Zhao, Hong
    Yu, Dong
    Zhang, Changshui
    PROCEEDINGS OF THE 61ST ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, ACL 2023, VOL 1, 2023, : 3944 - 3965
  • [29] Epistemic Multi-agent Planning Using Monte-Carlo Tree Search
    Reifsteck, Daniel
    Engesser, Thorsten
    Mattmueller, Robert
    Nebel, Bernhard
    ADVANCES IN ARTIFICIAL INTELLIGENCE, KI 2019, 2019, 11793 : 277 - 289
  • [30] A Heuristic for Multi-modal Route Planning
    Bucher, Dominik
    Jonietz, David
    Raubal, Martin
    PROGRESS IN LOCATION-BASED SERVICES 2016, 2017, : 211 - 229