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基于四面体网格几何结构的新方法用于精确的四维蒙特卡罗患者剂量计算。

New approach based on tetrahedral-mesh geometry for accurate 4D Monte Carlo patient-dose calculation.

作者信息

Han Min Cheol, Yeom Yeon Soo, Kim Chan Hyeong, Kim Seonghoon, Sohn Jason W

机构信息

Department of Nuclear Engineering, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul 133-791, Korea.

出版信息

Phys Med Biol. 2015 Feb 21;60(4):1601-12. doi: 10.1088/0031-9155/60/4/1601. Epub 2015 Jan 23.

DOI:10.1088/0031-9155/60/4/1601
PMID:25615567
Abstract

In the present study, to achieve accurate 4D Monte Carlo dose calculation in radiation therapy, we devised a new approach that combines (1) modeling of the patient body using tetrahedral-mesh geometry based on the patient's 4D CT data, (2) continuous movement/deformation of the tetrahedral patient model by interpolation of deformation vector fields acquired through deformable image registration, and (3) direct transportation of radiation particles during the movement and deformation of the tetrahedral patient model. The results of our feasibility study show that it is certainly possible to construct 4D patient models (= phantoms) with sufficient accuracy using the tetrahedral-mesh geometry and to directly transport radiation particles during continuous movement and deformation of the tetrahedral patient model. This new approach not only produces more accurate dose distribution in the patient but also replaces the current practice of using multiple 3D voxel phantoms and combining multiple dose distributions after Monte Carlo simulations. For routine clinical application of our new approach, the use of fast automatic segmentation algorithms is a must. In order to achieve, simultaneously, both dose accuracy and computation speed, the number of tetrahedrons for the lungs should be optimized. Although the current computation speed of our new 4D Monte Carlo simulation approach is slow (i.e. ~40 times slower than that of the conventional dose accumulation approach), this problem is resolvable by developing, in Geant4, a dedicated navigation class optimized for particle transportation in tetrahedral-mesh geometry.

摘要

在本研究中,为了在放射治疗中实现精确的四维蒙特卡罗剂量计算,我们设计了一种新方法,该方法结合了:(1)基于患者的四维CT数据,使用四面体网格几何对患者身体进行建模;(2)通过对通过可变形图像配准获取的变形矢量场进行插值,使四面体患者模型进行连续运动/变形;(3)在四面体患者模型运动和变形期间对辐射粒子进行直接输运。我们的可行性研究结果表明,使用四面体网格几何构建具有足够精度的四维患者模型(=体模)并在四面体患者模型连续运动和变形期间直接输运辐射粒子是完全可行的。这种新方法不仅能在患者体内产生更精确的剂量分布,还取代了当前在蒙特卡罗模拟后使用多个三维体素体模并组合多个剂量分布的做法。对于我们新方法的常规临床应用,必须使用快速自动分割算法。为了同时实现剂量精度和计算速度,肺部的四面体数量应进行优化。尽管我们新的四维蒙特卡罗模拟方法目前的计算速度较慢(即比传统剂量累积方法慢约40倍),但通过在Geant4中开发针对四面体网格几何中的粒子输运进行优化的专用导航类,这个问题是可以解决的。

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Development of a novel program for conversion from tetrahedral-mesh-based phantoms to DICOM dataset for radiation treatment planning: TET2DICOM.开发一种新的程序,用于将基于四面体网格的体模转换为用于放射治疗计划的 DICOM 数据集:TET2DICOM。
J Appl Clin Med Phys. 2022 Jan;23(1):e13448. doi: 10.1002/acm2.13448. Epub 2021 Oct 11.
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Advances in Computational Human Phantoms and Their Applications in Biomedical Engineering - A Topical Review.
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