Development of Monte Carlo techniques for radiation transport simulations and application to radiotherapy physics and dosimetry

辐射传输模拟蒙特卡罗技术的开发及其在放射治疗物理和剂量测定中的应用

• 批准号: 283248-2009
• 负责人: Rogers, David
• 金额: $ 5.03万
• 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: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=514673
• 关键词: Development; Monte; Carlo; techniques; radiation

Over 600,000 cancer patients a year are treated by radiation in North America. A critical aspect of each treatment is the accurate delivery of a known dose of radiation to the tumour. Thus clinical dosimetry, the determination of the radiation dose delivered to the tumour and elsewhere in the patient, plays a central role in these treatments. This research program involves two separate components of clinical dosimetry. One goal is to improve our ability to measure the radiation dose in a water tank with a high degree of accuracy since this calibrates the output of the source of radiation which may be an accelerator or a small radioactive seed. Another goal is to improve our ability to take a knowledge of that "reference dose", and calculate the dose distribution inside a real patient exposed to the same source of radiation. The central tool used in this research program is a suite of computer codes developed by the principal investigator and colleagues. These codes use what are called Monte Carlo techniques to model the passage of radiation through matter, including measuring devices and patients. This research is supported by a powerful cluster of computers funded by CFI. These computer codes are used to study how the instruments which measure radiation are working and recent breakthroughs mean practical and accurate corrections can be calculated for the first time, thereby improving clinical radiation measurement. The results show problems with current methods at the 1 to 5% level, but since the errors can affect hundreds of thousands of patients, the effects can be important. In another component of the research program, use will be made of another breakthrough to rapidly calculate the dose distributions around radioactive sources placed in the body to kill tumours. Sophisticated techniques have been developed to do accurate calculations of the very complex sources used, while the time taken for the calculations has been reduced from days to minutes. The goal now is to make the programs easier to use so that clinical physicists can make use of them on a routine basis and thereby improve cancer radiotherapy.

在北美，每年有60多万癌症患者接受放射治疗。每种治疗的一个关键方面是准确地将已知剂量的辐射输送到肿瘤。因此，临床剂量学，即确定肿瘤和患者其他部位的辐射剂量，在这些治疗中发挥着核心作用。这项研究计划涉及临床剂量学的两个独立组成部分。一个目标是提高我们以高精度测量水箱中的辐射剂量的能力，因为这将校准辐射源的输出，该辐射源可能是加速器或小的放射性种子。另一个目标是提高我们了解“参考剂量”的能力，并计算暴露在相同放射源下的真实患者体内的剂量分布。在这个研究项目中使用的中心工具是由首席研究员和同事开发的一套计算机代码。这些代码使用被称为蒙特卡罗技术的技术来模拟辐射通过物质的通道，包括测量设备和患者。这项研究得到了CFI资助的强大计算机集群的支持。这些计算机代码被用来研究测量辐射的仪器是如何工作的，最近的突破意味着可以首次计算出实用和准确的校正，从而改进临床辐射测量。结果显示，目前的方法在1%到5%的水平上存在问题，但由于误差可能影响数十万患者，因此影响可能是重要的。在研究计划的另一个组成部分中，将利用另一项突破来快速计算放置在体内以杀死肿瘤的放射源周围的剂量分布。先进的技术已经被开发出来，以对所使用的非常复杂的源进行准确的计算，而计算所需的时间已经从几天减少到几分钟。现在的目标是使这些程序更容易使用，以便临床物理学家可以在常规基础上使用它们，从而改进癌症放射治疗。