線形加速器におけるパーセンテージ深度線量（PDD）データからのニューラルネットワーク再構成による電子スペクトル測定
Jorge Torres-Díaz1, Gabriela B Grad2, Jenny Gómez Ávila3
1Pontificia Universidad Católica Madre y Maestra, Santiago de los Caballeros, Dominican Republic.
まとめ
本研究では、線形加速器からの電子エネルギー スペクトルを正確に測定するために、人工ニューラルネットワークを使用した新しい方法を導入します。この技術は、放射線療法品質保証のためのビーム特性評価を簡素化します。
背景:
- 効果的な放射線療法には、電子エネルギー スペクトルの正確な特性評価が不可欠です。
- 従来のスペクトル測定方法は複雑であり、特殊な機器が必要になる場合があります。
- 間接測定方法は、ビーム特性評価を簡素化するための潜在的な解決策を提供します。
結論:
- 提案された方法論は、間接的な電子エネルギー スペクトル再構成のための正確で実用的なアプローチを提供します。
- この方法は、標準的な臨床測定を利用し、加速器内部設計へのアクセスを不要にします。
- 人工ニューラルネットワークアプローチは、不適切問題 を効果的に処理し、放射線療法におけるビーム特性評価と品質保証のための貴重なツールを提供します。
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