The Virtual Family-development of surface-based anatomical models of two adults and two children for dosimetric simulations
The Virtual Family-development of surface-based anatomical models of two adults and two children for dosimetric simulations
复制标题
DOI：
10.1088/0031-9155/55/2/n01
复制
发表时间：
2010-01-21
影响因子：
3.5
通讯作者：
Kuster, Niels
中科院分区：
文献类型：
--
作者：
Christ, Andreas;Kainz, Wolfgang;Kuster, Niels
本研究的目的是开发一个成年男性（34岁）、一个成年女性（26岁）和两个儿童（一个11岁的女孩和一个6岁的男孩）的解剖学上正确的全身人体模型，用于电磁暴露的优化评估。这四种模式被称为虚拟家庭。它们基于健康志愿者的高分辨率磁共振（MR）图像。在分割过程中区分了80多种不同的组织类型。为了提高分割的准确性和有效性，使用了一种新的半自动工具来分析和分割数据。所有组织和器官都被重建为三维（3D）非结构化三角形表面对象，产生身体个体特征的高精度图像。与传统的基于体素的解剖模型表示相比，这大大提高了薄组织层和小器官的网格划分灵活性和准确性。保形计算技术也被应用。在这项研究中开发的技术和工具可以用来更有效地开发未来的模型，并进一步提高各种应用程序的模型的准确性。为了研究目的，这四个模型免费提供给科学界。
The objective of this study was to develop anatomically correct whole body human models of an adult male (34 years old), an adult female (26 years old) and two children (an 11-year-old girl and a six-year-old boy) for the optimized evaluation of electromagnetic exposure. These four models are referred to as the Virtual Family. They are based on high resolution magnetic resonance (MR) images of healthy volunteers. More than 80 different tissue types were distinguished during the segmentation. To improve the accuracy and the effectiveness of the segmentation, a novel semi-automated tool was used to analyze and segment the data. All tissues and organs were reconstructed as three-dimensional (3D) unstructured triangulated surface objects, yielding high precision images of individual features of the body. This greatly enhances the meshing flexibility and the accuracy with respect to thin tissue layers and small organs in comparison with the traditional voxel-based representation of anatomical models. Conformal computational techniques were also applied. The techniques and tools developed in this study can be used to more effectively develop future models and further improve the accuracy of the models for various applications. For research purposes, the four models are provided for free to the scientific community.