Image-based models of cardiac structure with applications in arrhythmia and defibrillation studies.
Image-based models of cardiac structure with applications in arrhythmia and defibrillation studies.
复制标题
DOI：
10.1016/j.jelectrocard.2008.12.003
复制
发表时间：
2009-03
影响因子：
1.3
通讯作者：
Trayanova N
中科院分区：
文献类型：
--
作者：
Vadakkumpadan F;Rantner LJ;Tice B;Boyle P;Prassl AJ;Vigmond E;Plank G;Trayanova N
本文的目的是提出一套从高分辨率结构和扩散张量磁共振图像中构建心脏结构的真实计算模型的方法，并论证这些模型在模拟研究中的适用性。结构图像被分割以识别不同的区域，如正常心肌、脑室和脑梗塞。根据处理后的结构数据生成有限元网格，并将纤维方向分配给单元。Purkinje系统在可见时，使用互连一组手动识别的点的线性元素进行建模。应用这些方法构建了两个不同的模型，并进行了两个仿真研究，验证了模型在心律失常和除颤分析中的适用性。这些模型为模拟研究提供了前所未有的详细心脏结构。
The objective of this article is to present a set of methods for constructing realistic computational models of cardiac structure from high-resolution structural and diffusion tensor magnetic resonance images and to demonstrate the applicability of the models in simulation studies. The structural image is segmented to identify various regions such as normal myocardium, ventricles, and infarct. A finite element mesh is generated from the processed structural data, and fiber orientations are assigned to the elements. The Purkinje system, when visible, is modeled using linear elements that interconnect a set of manually identified points. The methods were applied to construct 2 different models; and 2 simulation studies, which demonstrate the applicability of the models in the analysis of arrhythmia and defibrillation, were performed. The models represent cardiac structure with unprecedented detail for simulation studies.