Fast Monte Carlo Dose Calculation in Proton Therapy

Fuente: arXiv
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Auteurs principaux: Holmes, Jason, Feng, Hongying, Zhang, Lian, Fix, Michael, Jiang, Steve B., Liu, Wei
Format: Preprint
Publié: 2024
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author Holmes, Jason
Feng, Hongying
Zhang, Lian
Fix, Michael
Jiang, Steve B.
Liu, Wei
author_facet Holmes, Jason
Feng, Hongying
Zhang, Lian
Fix, Michael
Jiang, Steve B.
Liu, Wei
contents This article examines the critical role of fast Monte Carlo dose calculations in advancing proton therapy techniques, particularly in the context of increasing treatment customization and precision. As adaptive radiotherapy and other patient-specific approaches evolve, the need for accurate and precise dose calculations, essential for techniques like proton-based stereotactic radiosurgery, becomes more prominent. These calculations, however, are time-intensive, with the treatment planning/optimization process constrained by the achievable speed of dose computations. Thus, enhancing the speed of Monte Carlo methods is vital, as it not only facilitates the implementation of novel treatment modalities but also improves the optimality of treatment plans. Today, the state-of-the-art in Monte Carlo dose calculation speeds is 106 - 107 protons per second. This review highlights the latest advancements in fast Monte Carlo dose calculations that have led to such speeds, including emerging artificial intelligence-based techniques, and discusses their application in both current and emerging proton therapy strategies.
format Preprint
id arxiv_https___arxiv_org_abs_2404_14543
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Fast Monte Carlo Dose Calculation in Proton Therapy
Holmes, Jason
Feng, Hongying
Zhang, Lian
Fix, Michael
Jiang, Steve B.
Liu, Wei
Medical Physics
This article examines the critical role of fast Monte Carlo dose calculations in advancing proton therapy techniques, particularly in the context of increasing treatment customization and precision. As adaptive radiotherapy and other patient-specific approaches evolve, the need for accurate and precise dose calculations, essential for techniques like proton-based stereotactic radiosurgery, becomes more prominent. These calculations, however, are time-intensive, with the treatment planning/optimization process constrained by the achievable speed of dose computations. Thus, enhancing the speed of Monte Carlo methods is vital, as it not only facilitates the implementation of novel treatment modalities but also improves the optimality of treatment plans. Today, the state-of-the-art in Monte Carlo dose calculation speeds is 106 - 107 protons per second. This review highlights the latest advancements in fast Monte Carlo dose calculations that have led to such speeds, including emerging artificial intelligence-based techniques, and discusses their application in both current and emerging proton therapy strategies.
title Fast Monte Carlo Dose Calculation in Proton Therapy
topic Medical Physics
url https://arxiv.org/abs/2404.14543