Estimation of LET distributions of α -particles from measured scintillator-based trajectory images

Abstract Objective . Linear energy transfer (LET) measurements of α -particles are increasingly important for micro-dosimetric evaluation in targeted α -radionuclide therapy. However, direct LET measurements remain challenging due to the extremely short range of α -particles in matter. In this study, we propose a method to estimate LET distributions using quenching effects observed in α -particle trajectory images. Approach. α -particle trajectories were imaged using an ultra-high-resolution imaging system consisting of a Gd 3 Al 2 Ga 3 O 12 scintillator, an optical magnification unit, and an electron-multiplying charge-coupled device camera. α -particles from three radionuclides were measured: Am-241 (5.5 MeV), Po-213 (8.4 MeV) and Po-212 (8.8 MeV). LET distributions were estimated by taking the ratio of simulated dose profiles (without quenching) to measured depth profiles of α -particle trajectory images (including quenching). The estimated LET distributions were then compared with those obtained from simulations. Main results . The relative LET distributions along the depth direction were successfully estimated from the measured depth profiles for all α -particles with different energies. The estimated relative LET distributions differed from the simulated distributions by no more than 11%–24% over the depth range from 5 µ m to the Bragg peak position. Approximate absolute LET distributions were also evaluated. Significance . The proposed method enables a simple and effective estimation of LET distributions of α -particles from measured depth profiles of trajectory images. It is applicable to α -particles with a wide range of energies and has potential for advancing micro-dosimetry in targeted α -radionuclide therapy.

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Publication Details

Journal
Physics in Medicine and Biology
Published
2026-09-01
DOI
https://doi.org/10.1088/1361-6560/ae99a7
Primary Topic
Radiation Therapy and Dosimetry
Type
article
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article

Estimation of LET distributions of α -particles from measured scintillator-based trajectory images

Katsunori Yogo, Kohei Nakanishi, Takuya Yokokita, Seiichi Yamamoto et al.
Physics in Medicine and Biology
Radiation Therapy and Dosimetry
article

Estimation of LET distributions of α -particles from measured scintillator-based trajectory images

Katsunori Yogo, Kohei Nakanishi, Takuya Yokokita, Seiichi Yamamoto, H. Kikunaga, Kazuaki Tsukada, Kenji Shirasaki, Akira Yoshikawa, Masao Yoshino, Jun Kataoka, Kei Kamada
article en

Abstract

Abstract Objective . Linear energy transfer (LET) measurements of α -particles are increasingly important for micro-dosimetric evaluation in targeted α -radionuclide therapy. However, direct LET measurements remain challenging due to the extremely short range of α -particles in matter. In this study, we propose a method to estimate LET distributions using quenching effects observed in α -particle trajectory images. Approach. α -particle trajectories were imaged using an ultra-high-resolution imaging system consisting of a Gd 3 Al 2 Ga 3 O 12 scintillator, an optical magnification unit, and an electron-multiplying charge-coupled device camera. α -particles from three radionuclides were measured: Am-241 (5.5 MeV), Po-213 (8.4 MeV) and Po-212 (8.8 MeV). LET distributions were estimated by taking the ratio of simulated dose profiles (without quenching) to measured depth profiles of α -particle trajectory images (including quenching). The estimated LET distributions were then compared with those obtained from simulations. Main results . The relative LET distributions along the depth direction were successfully estimated from the measured depth profiles for all α -particles with different energies. The estimated relative LET distributions differed from the simulated distributions by no more than 11%–24% over the depth range from 5 µ m to the Bragg peak position. Approximate absolute LET distributions were also evaluated. Significance . The proposed method enables a simple and effective estimation of LET distributions of α -particles from measured depth profiles of trajectory images. It is applicable to α -particles with a wide range of energies and has potential for advancing micro-dosimetry in targeted α -radionuclide therapy.

Physics in Medicine and BiologyVol. 71(17)
Waseda University (JP), Tohoku University (JP), Japan Radioisotope Association (JP), Osaka Health Science University (JP), Nagoya University (JP), The University of Osaka (JP)
Affordable and clean energy
Openalex Percentile: Top 11%
Radiation Therapy and Dosimetry
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