On the unimportance of constitutive models in computing brain deformation for image-guided surgery
On the unimportance of constitutive models in computing brain deformation for image-guided surgery
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DOI：
10.1007/s10237-008-0118-1
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发表时间：
2009-02-01
影响因子：
3.5
通讯作者：
Miller, Karol
中科院分区：
文献类型：
--
作者：
Wittek, Adam;Hawkins, Trent;Miller, Karol
术中可以使用的成像方式不能提供足够的细节来确定从高分辨率术前扫描中识别出的异常和关键健康区域。然而，正如我们在以前的工作中所表明的那样，高质量的术前图像可以被扭曲到术中大脑的位置。这可以通过使用生物力学模型计算大脑内的变形来实现。在这篇文章中，我们使用先前开发的一个特定于患者的颅脑手术诱导移位的模型，进行参数分析来详细地研究脑组织本构模型的影响。我们的结论是，脑组织本构模型的选择，当与适当的有限变形解一起使用时，不会影响计算位移的精度，因此对于脑组织来说，简单的线弹性模型就足够了。
Imaging modalities that can be used intra-operatively do not provide sufficient details to confidently locate the abnormalities and critical healthy areas that have been identified from high-resolution pre-operative scans. However, as we have shown in our previous work, high quality pre-operative images can be warped to the intra-operative position of the brain. This can be achieved by computing deformations within the brain using a biomechanical model. In this paper, using a previously developed patient-specific model of brain undergoing craniotomy-induced shift, we conduct a parametric analysis to investigate in detail the influences of constitutive models of the brain tissue. We conclude that the choice of the brain tissue constitutive model, when used with an appropriate finite deformation solution, does not affect the accuracy of computed displacements, and therefore a simple linear elastic model for the brain tissue is sufficient.