Automated subject-specific, hexahedral mesh generation via image registration.

Automated subject-specific, hexahedral mesh generation via image registration.
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通过图像登记的自动特定主题特定于六面体网状。

DOI:
10.1016/j.finel.2011.05.007
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发表时间:
2011-10-01
影响因子:
3.1
通讯作者:
McAllister, Thomas W.
McAllister, Thomas W.
中科院分区:
工程技术3区
文献类型:
--
作者:
Ji, Songbai;Ford, James C.;Greenwald, Richard M.;Beckwith, Jonathan G.;Paulsen, Keith D.;Flashman, Laura A.;McAllister, Thomas W.

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为有限元分析生成特定于对象的全六面体网格仍然是生物力学研究界非常感兴趣的问题。到目前为止,大多数自动化方法将现有的地图集网格与主题解剖相匹配,这通常会因为网格扭曲而导致网格质量下降。我们提出了一种自动网格划分技术,无需修复网格即可产生令人满意的网格质量和精度。首先使用脚本开发地图集网格。在刚性图像配准后,将几何体变换到地图集空间后,使用相同的脚本生成特定于对象的网格,并将其转换回对象空间。通过对11名受试者大脑进行网格划分,我们证明了该技术在网格质量(99.5%的元素的雅克比比例为0.6,而0.01%的元素在0到0.2之间)和精度(网格边界到几何表面的平均距离为0.07 mm,而1%的元素大于0.5 mm)方面都是令人满意的。图像配准和网格划分的总计算量为<4分钟。我们的结果表明,该技术对于生成特定于对象的全六面体网格是有效的,并且对于跨不同生物力学研究领域的各种解剖结构的网格划分可能是有用的。
Generating subject-specific, all-hexahedral meshes for finite element analysis continues to be of significant interest in biomechanical research communities. To date, most automated methods “morph” an existing atlas mesh to match with a subject anatomy, which usually result in degradation in mesh quality because of mesh distortion. We present an automated meshing technique that produces satisfactory mesh quality and accuracy without mesh repair. An atlas mesh is first developed using a script. A subject-specific mesh is generated with the same script after transforming the geometry into the atlas space following rigid image registration, and is transformed back into the subject space. By meshing the brain in 11 subjects, we demonstrate that the technique’s performance is satisfactory in terms of both mesh quality (99.5% of elements had a scaled Jacobian >0.6 while <0.01% were between 0 and 0.2) and accuracy (average distance between mesh boundary and geometrical surface was 0.07 mm while <1% greater than 0.5mm). The combined computational cost for image registration and meshing was <4 min. Our results suggest that the technique is effective for generating subject-specific, all-hexahedral meshes and that it may be useful for meshing a variety of anatomical structures across different biomechanical research fields.
DOI: 10.1016/j.media.2009.05.007
发表时间: 2009-08
影响因子: 10.9
作者:
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期刊: NEUROIMAGE
影响因子: 5.7
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发表时间: 2007-10-01
期刊: BRAIN
影响因子: 14.5
作者:
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