Image-Based Personalization of Cardiac Anatomy for Coupled Electromechanical Modeling.
Image-Based Personalization of Cardiac Anatomy for Coupled Electromechanical Modeling.
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DOI：
10.1007/s10439-015-1474-5
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发表时间：
2016-01
影响因子：
3.8
通讯作者：
Plank G
中科院分区：
文献类型：
--
作者：
Crozier A;Augustin CM;Neic A;Prassl AJ;Holler M;Fastl TE;Hennemuth A;Bredies K;Kuehne T;Bishop MJ;Niederer SA;Plank G
心脏电力学（EM）的计算模型越来越多地应用于临床问题，其中患者特定模型从高保真成像生成并用于模拟患者生理学、病理生理学和对治疗的反应。当前的结构化网格在其完全表示可从临床图像获得的详细解剖数据以及以有限的几何精度捕获复杂和变化的解剖结构的能力方面是有限的。在本文中，我们回顾了最先进的基于图像的个性化心脏解剖的生物病理学详细，强耦合EM建模，并提出了我们自己的工具，自动构建解剖学和结构上准确的患者特异性模型。我们的方法依赖于使用高分辨率的非结构化网格离散物理，电生理学和力学，结合高效，可扩展性强的求解器，必要的处理这些网格的大量自由度所施加的计算负载。这些工具允许自动解剖模型生成和强耦合EM模拟在解剖和生物物理细节的前所未有的水平。
Computational models of cardiac electromechanics (EM) are increasingly being applied to clinical problems, with patient-specific models being generated from high fidelity imaging and used to simulate patient physiology, pathophysiology and response to treatment. Current structured meshes are limited in their ability to fully represent the detailed anatomical data available from clinical images and capture complex and varied anatomy with limited geometric accuracy. In this paper, we review the state of the art in image-based personalization of cardiac anatomy for biophysically detailed, strongly coupled EM modeling, and present our own tools for the automatic building of anatomically and structurally accurate patient-specific models. Our method relies on using high resolution unstructured meshes for discretizing both physics, electrophysiology and mechanics, in combination with efficient, strongly scalable solvers necessary to deal with the computational load imposed by the large number of degrees of freedom of these meshes. These tools permit automated anatomical model generation and strongly coupled EM simulations at an unprecedented level of anatomical and biophysical detail.