Improvement of dose calculation accuracy for BNCT dosimetry by the multi-voxel method in JCDS.
To carry out boron neutron capture therapy (BNCT) clinical trials based on accurate dosimetry of several dose components given to a patient, we had developed the JAERI computational dosimetry system (JCDS), which can determine the absorbed doses by numerical simulation. The verification results of initial version of JCDS indicated that JCDS causes characteristic discrepancy, when JCDS estimates a sharp change arising such as near the surface. The aim of this study is to improve the accuracy of the BNCT dosimetry efficiently. The multi-voxel calculation method that reconstructs the original voxel model by combining several voxel cell sizes such as 0.125, 1 and 8 cm(3) has been developed. To verify the accuracy of the method, the calculation results were compared with the phantom experimental data. Furthermore, to verify its practicality to BNCT, retrospective evaluation of an actual BNCT in JRR-4 was performed by the multi-voxel method. The results of the comparison with the phantom experiments demonstrated that the calculation accuracy for the distributions of the thermal neutron flux was improved by employing the multi-voxel method. The computing time using the multi-voxel method increased only approximately 33% compared to the conventional uniform 1cm(3) voxel method. These results proved that the multi-voxel calculation enables JCDS to more accurately estimate the absorbed doses to a patient by efficient calculations.
Department of Research Reactor, Tokai Research Establishment, Japan Atomic Energy Research Institute, Tokai, Ibaraki, Japan. hkumada@popsvr.tokai.jaeri.go.jp
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H
Kumada
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Yamamoto
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Yamamoto
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Nakai
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Nakagawa
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Kageji
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Matsumura
D016754:Boron Neutron Capture Therapy / Q000295:instrumentation / Q000706:statistics & numerical data*; D001932:Brain Neoplasms / Q000532:radiotherapy; D005214:Fast Neutrons / Q000627:therapeutic use; D006801:Humans; D007564:Japan; D019047:Phantoms, Imaging; D011880:Radiotherapy Planning, Computer-Assisted / Q000706:statistics & numerical data*; D012189:Retrospective Studies; D014867:Water
D014867:Water