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Numerical benchmarking of a Coarse-Mesh Transport (COMET) Method for medical physics applications.

机译:用于医学物理应用的粗筛网运输(COMET)方法的数值基准测试。

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Radiation therapy has become a very import method for treating cancer patients. Thus, it is extremely important to accurately determine the location of energy deposition during these treatments, maximizing dose to the tumor region and minimizing it to healthy tissue. A Coarse-Mesh Transport Method (COMET) has been developed at the Georgia Institute of Technology in the Computational Reactor and Medical Physics Group for use very successfully with neutron transport to analyze whole-core criticality. COMET works by decomposing a large, heterogeneous system into a set of smaller fixed source problems. For each unique local problem that exists, a solution is obtained that we call a response function. These response functions are pre-computed and stored in a library for future use. The overall solution to the global problem can then be found by a linear superposition of these local problems. This method has now been extended to the transport of photons and electrons for use in medical physics problems to determine energy deposition from radiation therapy treatments.;The main goal of this work was to develop benchmarks for testing in order to evaluate the COMET code to determine its strengths and weaknesses for these medical physics applications. For response function calculations, legendre polynomial expansions are necessary for space, angle, polar angle, and azimuthal angle. An initial sensitivity study was done to determine the best orders for future testing. After the expansion orders were found, three simple benchmarks were tested: a water phantom, a simplified lung phantom, and a non-clinical slab phantom. Each of these benchmarks was decomposed into 1cm x 1cm and 0.5cm x 0.5cm coarse meshes. Three more clinically relevant problems were developed from patient CT scans. These benchmarks modeled a lung patient, a prostate patient, and a beam re-entry situation. As before, the problems were divided into 1cm x 1cm, 0.5cm x 0.5cm, and 0.25cm x 0.25cm coarse mesh cases. Multiple beam energies were also tested for each case. The COMET solutions for each case were compared to a reference solution obtained by pure Monte Carlo results from EGSnrc. When comparing the COMET results to the reference cases, a pattern of differences appeared in each phantom case. It was found that better results were obtained for lower energy incident photon beams as well as for larger mesh sizes. Possible changes may need to be made with the expansion orders used for energy and angle to better model high energy secondary electrons. Heterogeneity also did not pose a problem for the COMET methodology. Heterogeneous results were found in a comparable amount of time to the homogeneous water phantom. The COMET results were typically found in minutes to hours of computational time, whereas the reference cases typically required hundreds or thousands of hours.;A second sensitivity study was also performed on a more stringent problem and with smaller coarse meshes. Previously, the same expansion order was used for each incident photon beam energy so better comparisons could be made. From this second study, it was found that it is optimal to have different expansion orders based on the incident beam energy.;Recommendations for future work with this method include more testing on higher expansion orders or possible code modification to better handle secondary electrons. The method also needs to handle more clinically relevant beam descriptions with an energy and angular distribution associated with it.
机译:放射疗法已成为治疗癌症患者的非常重要的方法。因此,在这些治疗过程中准确确定能量沉积的位置,最大程度地增加肿瘤区域的剂量并最小化其对健康组织的极端重要。计算反应堆和医学物理小组的佐治亚理工学院已开发出一种粗筛网输运方法(COMET),该方法非常成功地与中子输运一起用于分析全核临界。 COMET的工作原理是将一个大型的异构系统分解为一组较小的固定源问题。对于存在的每个唯一局部问题,都会获得一个称为响应函数的解决方案。这些响应函数已预先计算并存储在库中,以备将来使用。然后,可以通过这些局部问题的线性叠加找到整体问题的整体解决方案。该方法现已扩展到用于医学物理学问题的光子和电子的传输,以确定放射治疗的能量沉积。这项工作的主要目的是开发测试基准,以评估COMET代码以确定这些医学物理应用的优点和缺点。对于响应函数计算,对于空间,角度,极角和方位角,勒让德多项式展开是必需的。进行了初步敏感性研究,以确定将来测试的最佳顺序。找到扩展订单后,测试了三个简单的基准:水体模,简化的肺部体模和非临床的平板体模。将这些基准中的每一个分解为1cm x 1cm和0.5cm x 0.5cm的粗网格。通过患者CT扫描发现了另外三个与临床相关的问题。这些基准模拟了肺部患者,前列腺患者和束重入情况。与以前一样,将问题分为1cm x 1cm,0.5cm x 0.5cm和0.25cm x 0.25cm的粗糙网孔。还针对每种情况测试了多束能量。将每种情况下的COMET解决方案与通过EGSnrc的纯Monte Carlo结果获得的参考解决方案进行比较。当将COMET结果与参考案例进行比较时,在每个幻影案例中都会出现差异模式。发现对于较低能量的入射光子束以及较大的网眼尺寸,可以获得更好的结果。为了更好地模拟高能二次电子,可能需要改变能量和角度的扩展阶数。异质性对COMET方法也不构成问题。在与均质水体模相当的时间内发现了异质性结果。 COMET结果通常在几分钟到几小时的计算时间中就能找到,而参考案例通常需要数百或数千小时。;还对更严格的问题和较小的粗网格进行了第二次敏感性研究。以前,对每个入射光子束能量使用相同的扩展阶数,因此可以进行更好的比较。从第二项研究中,发现基于入射束能量而具有不同的扩展阶数是最佳的。该方法未来的工作建议包括对更高的扩展阶数进行更多测试,或者可能进行代码修改以更好地处理二次电子。该方法还需要使用与其相关的能量和角度分布来处理更多与临床相关的光束描述。

著录项

  • 作者单位

    Georgia Institute of Technology.;

  • 授予单位 Georgia Institute of Technology.;
  • 学科 Engineering Nuclear.;Physics Radiation.;Biophysics Medical.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 205 p.
  • 总页数 205
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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