图像导航近距离粒子放疗手术剂量规划关键技术研究
发布时间：2019-02-18 18:31
【摘要】：本文结合国家自然基金项目和天津市支撑重大项目,对图像导航近距离粒子放疗手术中的剂量规划计算方法、剂量可视化方法、剂量优化方法等关键技术进行研究,提出了三维适形剂量规划方法,并开发了三维近距离粒子植入治疗计划系统,最后通过实验与蒙特卡罗模拟验证了剂量计算精度。本文的主要研究内容及成果如下:首先,采用TG-43线源剂量模型,绘制了单颗粒子的剂量分布曲线。采用标量线性叠加算法,实现了空间中多颗粒子的剂量分布计算。由放射性衰变规律,推导了剂量吸收量的计算方法。其次,针对放射性粒子植入放疗,提出了其三维适形剂量规划方法。通过对剂量进行优化,避免了局部剂量盲区和正常组织的过量照射。在此基础上,开发了三维近距离粒子植入治疗计划系统,改进了剂量体积直方图的绘制算法,提高绘制的精确度。最后,设计开发了I-125放射性粒子载体装置,搭建了粒子剂量分布实验平台,进行了单粒子和多粒子剂量分布实验。通过与蒙特卡罗方法数值模拟结果和治疗计划系统输出结果对比,验证了治疗计划系统中剂量计算的精确性。
[Abstract]:In this paper, the key techniques such as dose planning, dose visualization, dose optimization, and so on, are studied in combination with the National Natural Fund project and the important projects in Tianjin, such as image navigation, brachyparticle radiotherapy, and so on. A three dimensional conformal dose planning method is proposed and a three dimensional near distance particle implantation treatment planning system is developed. Finally, the accuracy of dose calculation is verified by experiments and Monte Carlo simulations. The main contents and achievements of this paper are as follows: firstly, the dose distribution curve of single particle is drawn by using the TG-43 line source dose model. The scalar linear superposition algorithm is used to calculate the dose distribution of multiple particles in space. According to the law of radioactive decay, the calculation method of dose absorption is deduced. Secondly, a three-dimensional conformal dose planning method is proposed for radioactive particle implantation radiotherapy. By optimizing the dose, the local dose blind area and the overdose of normal tissue were avoided. On this basis, a treatment planning system for three dimensional close-range particle implantation is developed, and the algorithm of dose volume histogram is improved to improve the accuracy of the rendering. Finally, the device of I-125 radioactive particle carrier is designed and developed, the experimental platform of particle dose distribution is set up, and the single-particle and multi-particle dose distribution experiments are carried out. The accuracy of dose calculation in the treatment planning system is verified by comparing the numerical simulation results with the Monte Carlo method and the output results of the treatment plan system.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：R730.55
本文编号：2426083
[Abstract]:In this paper, the key techniques such as dose planning, dose visualization, dose optimization, and so on, are studied in combination with the National Natural Fund project and the important projects in Tianjin, such as image navigation, brachyparticle radiotherapy, and so on. A three dimensional conformal dose planning method is proposed and a three dimensional near distance particle implantation treatment planning system is developed. Finally, the accuracy of dose calculation is verified by experiments and Monte Carlo simulations. The main contents and achievements of this paper are as follows: firstly, the dose distribution curve of single particle is drawn by using the TG-43 line source dose model. The scalar linear superposition algorithm is used to calculate the dose distribution of multiple particles in space. According to the law of radioactive decay, the calculation method of dose absorption is deduced. Secondly, a three-dimensional conformal dose planning method is proposed for radioactive particle implantation radiotherapy. By optimizing the dose, the local dose blind area and the overdose of normal tissue were avoided. On this basis, a treatment planning system for three dimensional close-range particle implantation is developed, and the algorithm of dose volume histogram is improved to improve the accuracy of the rendering. Finally, the device of I-125 radioactive particle carrier is designed and developed, the experimental platform of particle dose distribution is set up, and the single-particle and multi-particle dose distribution experiments are carried out. The accuracy of dose calculation in the treatment planning system is verified by comparing the numerical simulation results with the Monte Carlo method and the output results of the treatment plan system.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：R730.55
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