Computational techniques for studying interactions of radiation with matter and applications in radiotherapy physics

研究辐射与物质相互作用的计算技术及其在放射治疗物理中的应用

• 批准号: 402094-2011
• 负责人: Thomson, Rowan
• 金额: $ 2.4万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=573156
• 关键词: Computational; techniques; studying; interactions; radiation

Radiotherapy is commonly used as a treatment for cancer. All forms of radiotherapy aim to maximize tumour cell kill while limiting healthy tissue radiation exposure. Despite the widespread application of radiotherapy to treat cancer, fundamental questions relating to the interactions of radiation with matter remain. Further, prospective radiotherapy treatment methods prompt new areas of investigation. This research program involves the development and application of sophisticated computer codes which employ the so-called `Monte Carlo' (MC) method to model the passage of radiation through matter. These MC simulations can be used to compute dose, the energy deposited by radiation in tissue, as well as to study a wide array of issues relevant for radiotherapy treatments. Computational approaches will be developed to study dosimetry and radiation interactions at different length scales from patient organs down to the individual cells in tissue. These approaches will be applied to research questions for current and prospective radiotherapy treatment methods. An existing treatment method of interest is brachytherapy, in which radioactive sources are placed next to or inside a tumour (in, e.g., the prostate, breast, or eye). Widely-used dose calculation approaches are inaccurate; a fast, accurate, and comprehensive MC dose calculation algorithm is under development and will be used to study brachytherapy physics. There is increasing interest in simulating radiation interactions and radiation-induced damage at the level of cellular constituents and DNA. New computational approaches must be developed for these studies and will be used to study issues for prospective radiotherapy treatment methods, such as the delivery of radiotherapy via nanometre-sized devices and other targeted radiotherapies. This research will advance our knowledge of the interactions of radiation with matter and radiation dosimetry and will have implications in many fields involving radiation including diagnostic imaging, radiation protection, and radiobiology. Further, results of this research will find application in the medical sciences.

放射疗法通常用作癌症的治疗方法。所有形式的放射治疗都旨在最大限度地杀死肿瘤细胞，同时限制健康组织的辐射暴露。尽管放射疗法广泛应用于治疗癌症，但与辐射与物质相互作用有关的基本问题仍然存在。此外，前瞻性放射治疗方法促进了新的研究领域。 该研究计划涉及复杂计算机代码的开发和应用，这些代码采用所谓的“蒙特卡罗”（MC）方法来模拟辐射穿过物质的过程。 这些 MC 模拟可用于计算剂量、辐射在组织中沉积的能量，以及研究与放射治疗相关的各种问题。 将开发计算方法来研究从患者器官到组织中单个细胞的不同长度尺度的剂量测定和辐射相互作用。这些方法将应用于当前和未来放射治疗方法的研究问题。 现有的一种感兴趣的治疗方法是近距离放射治疗，其中放射源被放置在肿瘤旁边或肿瘤内部（例如，前列腺、乳房或眼睛中）。广泛使用的剂量计算方法不准确；一种快速、准确且全面的 MC 剂量计算算法正在开发中，将用于研究近距离放射治疗物理学。 人们对在细胞成分和 DNA 水平上模拟辐射相互作用和辐射引起的损伤越来越感兴趣。 必须为这些研究开发新的计算方法，并将用于研究前瞻性放射治疗方法的问题，例如通过纳米尺寸的设备和其他靶向放射治疗进行放射治疗。 这项研究将增进我们对辐射与物质相互作用和辐射剂量测定的认识，并将对涉及辐射的许多领域产生影响，包括诊断成像、辐射防护和放射生物学。此外，这项研究的结果将在医学领域得到应用。