Literature DB >> 17132656

Development of a calculation method for estimating specific energy distribution in complex radiation fields.

Tatsuhiko Sato1, Ritsuko Watanabe, Koji Niita.   

Abstract

Estimation of the specific energy distribution in a human body exposed to complex radiation fields is of great importance in the planning of long-term space missions and heavy ion cancer therapies. With the aim of developing a tool for this estimation, the specific energy distributions in liquid water around the tracks of several HZE particles with energies up to 100 GeV n(-1) were calculated by performing track structure simulation with the Monte Carlo technique. In the simulation, the targets were assumed to be spherical sites with diameters from 1 nm to 1 microm. An analytical function to reproduce the simulation results was developed in order to predict the distributions of all kinds of heavy ions over a wide energy range. The incorporation of this function into the Particle and Heavy Ion Transport code System (PHITS) enables us to calculate the specific energy distributions in complex radiation fields in a short computational time.

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Year:  2006        PMID: 17132656     DOI: 10.1093/rpd/ncl407

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  16 in total

1.  Measurement of the stochastic radial dose distribution for a 30-MeV proton beam using a wall-less tissue-equivalent proportional counter.

Authors:  S Tsuda; T Sato; T Ogawa
Journal:  Radiat Prot Dosimetry       Date:  2015-05-08       Impact factor: 0.972

2.  Extension of TOPAS for the simulation of proton radiation effects considering molecular and cellular endpoints.

Authors:  Lisa Polster; Jan Schuemann; Ilaria Rinaldi; Lucas Burigo; Aimee L McNamara; Robert D Stewart; Andrea Attili; David J Carlson; Tatsuhiko Sato; José Ramos Méndez; Bruce Faddegon; Joseph Perl; Harald Paganetti
Journal:  Phys Med Biol       Date:  2015-06-10       Impact factor: 3.609

Review 3.  Medical application of particle and heavy ion transport code system PHITS.

Authors:  Takuya Furuta; Tatsuhiko Sato
Journal:  Radiol Phys Technol       Date:  2021-06-30

4.  Microdosimetric quantities of an accelerator-based neutron source used for boron neutron capture therapy measured using a gas-filled proportional counter.

Authors:  Naonori Hu; Hiroki Tanaka; Takushi Takata; Keita Okazaki; Ryohei Uchida; Yoshinori Sakurai
Journal:  J Radiat Res       Date:  2020-03-23       Impact factor: 2.724

5.  Dose compensation based on biological effectiveness due to interruption time for photon radiation therapy.

Authors:  Daisuke Kawahara; Hisashi Nakano; Akito Saito; Shuichi Ozawa; Yasushi Nagata
Journal:  Br J Radiol       Date:  2020-05-07       Impact factor: 3.039

6.  Evaluation of the cell survival curve under radiation exposure based on the kinetics of lesions in relation to dose-delivery time.

Authors:  Yusuke Matsuya; Kaori Tsutsumi; Kohei Sasaki; Hiroyuki Date
Journal:  J Radiat Res       Date:  2014-10-29       Impact factor: 2.724

7.  Model assembly for estimating cell surviving fraction for both targeted and nontargeted effects based on microdosimetric probability densities.

Authors:  Tatsuhiko Sato; Nobuyuki Hamada
Journal:  PLoS One       Date:  2014-11-26       Impact factor: 3.240

8.  Biological dose-enhancement analysis with Monte Carlo simulation for Lipiodol for photon beams.

Authors:  Daisuke Kawahara; Shuichi Ozawa; Hisashi Nakano; Katsumaro Kubo; Takehiro Shiinoki; Tomoki Kimura; Yasushi Nagata
Journal:  Rep Pract Oncol Radiother       Date:  2019-11-08

9.  Radial dependence of lineal energy distribution of 290-MeV/u carbon and 500-MeV/u iron ion beams using a wall-less tissue-equivalent proportional counter.

Authors:  Shuichi Tsuda; Tatsuhiko Sato; Ritsuko Watanabe; Masashi Takada
Journal:  J Radiat Res       Date:  2014-09-10       Impact factor: 2.724

10.  Microdosimetric analysis confirms similar biological effectiveness of external exposure to gamma-rays and internal exposure to 137Cs, 134Cs, and 131I.

Authors:  Tatsuhiko Sato; Kentaro Manabe; Nobuyuki Hamada
Journal:  PLoS One       Date:  2014-06-11       Impact factor: 3.240

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