μCT-generated carpal cartilage surfaces: validation of a technique.

μCT-generated carpal cartilage surfaces: validation of a technique.
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μCT 生成的腕软骨表面:技术验证。

DOI:
10.1016/j.jbiomech.2011.06.027
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发表时间:
2011
影响因子:
2.4
通讯作者:
Crisco,JosephJ
Crisco,JosephJ
中科院分区:
工程技术3区
文献类型:
--
作者:
Moore,DouglasC;Casey,JaneA;Gilbert,SusannahL;Crisco,JosephJ

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计算模型越来越多地被用于腕部的运动学和接触应力的分析。然而,在这一点上,腕骨软骨的形态已经被简单地建模,或者使用无量纲弹簧元件(在刚体弹簧模型中)或者经由简单的骨表面挤出(例如,对于有限元模型)。在这项工作中,我们描述了一种有效的方法,通过微计算机断层扫描(μCT)生成高分辨率的软骨表面和注册CT生成的骨表面模型。与μCT成像(10μm)相关的误差为0.009mm(95%置信区间0.007-0.012mm),或软骨厚度的1.6%。配准误差平均为0.33± 0.16 mm(任何一个方向的97.5%置信限为≤ 0.55 mm)和2.42±1.56°(任何一个方向的97.5%置信限为≤ 5.5°)。该技术是立即适用于特定主题的模型驱动使用通过体外测试获得的运动学数据。然而,最终的目标将是生成一个家庭的软骨表面,可以缩放和/或变形的应用模型从活的主题和体内运动学数据。
Computational models are increasingly being used for the analysis of kinematics and contact stresses in the wrist. To this point, however, the morphology of the carpal cartilage has been modeled simply, either with non-dimensional spring elements (in rigid body spring models) or via simple bone surface extrusions (e.g. for finite element models). In this work we describe an efficient method of generating high-resolution cartilage surfaces via micro-computed tomography (μCT) and registration to CT-generated bone surface models. The error associated with μCT imaging (at 10μm) was 0.009mm (95% confidence interval 0.007–0.012mm ), or ∼1.6% of the cartilage thickness. Registration error averaged 0.33±0.16mm (97.5% confidence limit of ∼0.55mm in any one direction) and 2.42±1.56° (97.5% confidence limit of ∼5.5° in any direction). The technique is immediately applicable to subject-specific models driven using kinematic data obtained through in vitro testing. However, the ultimate goal would be to generate a family of cartilage surfaces that could be scaled and/or morphed for application to models from live subjects and in vivo kinematic data.
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发表时间: 2010-03-22
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