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基于快速CT/SPECT的体内放射源治疗三维蒙特卡罗吸收剂量计算方法

Method for Fast CT/SPECT-Based 3D Monte Carlo Absorbed Dose Computations in Internal Emitter Therapy.

作者信息

Wilderman S J, Dewaraja Y K

机构信息

Department of Nuclear Engineering and Radiologic Sciences, University of Michigan, Ann Arbor, MI 48109 USA (

出版信息

IEEE Trans Nucl Sci. 2007 Feb 17;54(1):146-151. doi: 10.1109/TNS.2006.889164.

Abstract

The DPM (Dose Planning Method) Monte Carlo electron and photon transport program, designed for fast computation of radiation absorbed dose in external beam radiotherapy, has been adapted to the calculation of absorbed dose in patient-specific internal emitter therapy. Because both its photon and electron transport mechanics algorithms have been optimized for fast computation in 3D voxelized geometries (in particular, those derived from CT scans), DPM is perfectly suited for performing patient-specific absorbed dose calculations in internal emitter therapy. In the updated version of DPM developed for the current work, the necessary inputs are a patient CT image, a registered SPECT image, and any number of registered masks defining regions of interest. DPM has been benchmarked for internal emitter therapy applications by comparing computed absorption fractions for a variety of organs using a Zubal phantom with reference results from the Medical Internal Radionuclide Dose (MIRD) Committee standards. In addition, the β decay source algorithm and the photon tracking algorithm of DPM have been further benchmarked by comparison to experimental data. This paper presents a description of the program, the results of the benchmark studies, and some sample computations using patient data from radioimmunotherapy studies using (131)I.

摘要

剂量规划方法(DPM)蒙特卡罗电子与光子输运程序专为外照射放疗中辐射吸收剂量的快速计算而设计,现已适用于特定患者体内放射源治疗中吸收剂量的计算。由于其光子和电子输运力学算法均针对三维体素化几何结构(特别是源自CT扫描的结构)中的快速计算进行了优化,DPM非常适合在体内放射源治疗中进行特定患者吸收剂量的计算。在为当前工作开发的DPM更新版本中,所需输入为患者CT图像、配准后的SPECT图像以及任意数量定义感兴趣区域的配准掩膜。通过使用祖巴尔体模比较多种器官的计算吸收分数与医学内部放射性核素剂量(MIRD)委员会标准的参考结果,对DPM进行了体内放射源治疗应用的基准测试。此外,通过与实验数据比较,进一步对DPM的β衰变源算法和光子追踪算法进行了基准测试。本文介绍了该程序、基准研究结果以及一些使用来自(131)I放射免疫治疗研究的患者数据的样本计算。

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