An efficient approach to converting three-dimensional image data into highly accurate computational models
An efficient approach to converting three-dimensional image data into highly accurate computational models
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DOI：
10.1098/rsta.2008.0090
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发表时间：
2008-09
期刊：
影响因子：
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通讯作者：
P. Young;T. Beresford-West;S. Coward;B. Notarberardino;B. Walker;A. Abdul-Aziz
中科院分区：
文献类型：
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作者：
P. Young;T. Beresford-West;S. Coward;B. Notarberardino;B. Walker;A. Abdul-Aziz
基于图像的网格化正在为计算连续介质力学方法（有限元和计算流体动力学）应用于广泛的生物力学和生物医学问题开辟令人兴奋的新的可能性，这些问题以前由于难以获得适当的逼真模型而难以解决。最近已经开发了创新的表面和体积网格生成技术，其将例如从磁共振成像、计算机断层扫描、微CT和超声获得的三维成像数据直接转换成适用于基于物理的模拟的网格。这些技术有几个关键的优点，包括能够鲁棒地生成任意复杂拓扑的网格（如生物支架或复合微结构）和任何数量的组成材料（多部分建模），提供其中网格域的几何精度仅取决于图像精度的网格（基于图像的准确性）和针对某些问题通过基于图像信号强度分配属性来对材料不均匀性建模的能力。常用的网格生成技术将与所提出的增强体积行进立方体（EVoMaCs）的方法进行比较，并将讨论基于三维图像数据的模拟的一些具体问题。将提出一些案例研究，以说明这些技术如何可以有效地用于广泛的问题，从表征微支架通过头部的影响建模。
Image-based meshing is opening up exciting new possibilities for the application of computational continuum mechanics methods (finite-element and computational fluid dynamics) to a wide range of biomechanical and biomedical problems that were previously intractable owing to the difficulty in obtaining suitably realistic models. Innovative surface and volume mesh generation techniques have recently been developed, which convert three-dimensional imaging data, as obtained from magnetic resonance imaging, computed tomography, micro-CT and ultrasound, for example, directly into meshes suitable for use in physics-based simulations. These techniques have several key advantages, including the ability to robustly generate meshes for topologies of arbitrary complexity (such as bioscaffolds or composite micro-architectures) and with any number of constituent materials (multi-part modelling), providing meshes in which the geometric accuracy of mesh domains is only dependent on the image accuracy (image-based accuracy) and the ability for certain problems to model material inhomogeneity by assigning the properties based on image signal strength. Commonly used mesh generation techniques will be compared with the proposed enhanced volumetric marching cubes (EVoMaCs) approach and some issues specific to simulations based on three-dimensional image data will be discussed. A number of case studies will be presented to illustrate how these techniques can be used effectively across a wide range of problems from characterization of micro-scaffolds through to head impact modelling.