Automatic determination of anatomical coordinate systems for three-dimensional bone models of the isolated human knee.
Automatic determination of anatomical coordinate systems for three-dimensional bone models of the isolated human knee.
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DOI：
10.1016/j.jbiomech.2010.01.036
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发表时间：
2010-05-28
影响因子：
2.4
通讯作者：
Fleming, Braden C.
中科院分区：
文献类型：
--
作者：
Miranda, Daniel L.;Rainbow, Michael J.;Leventhal, Evan L.;Crisco, Joseph J.;Fleming, Braden C.
三维（3-D）模型与双透视的结合在体内评估关节功能方面越来越受欢迎。应用这些模式来研究膝关节运动的高精度需要可靠的股骨和胫骨的解剖坐标系（ACS）。因此，需要一种从股骨和胫骨的3-D模型创建ACS的稳健方法。我们提出并评估了一种自动化的方法，用于构建ACSS的股骨远端和胫骨近端的基础上，仅3-D骨模型。该算法不需要观察者的相互作用，并使用模型的横截面积，质心，主轴的惯性，和圆柱表面拟合来构建ACS。该算法被应用于股骨和胫骨的十个（不成对）人类尸体膝盖。由于算法的自动化性质，对于给定的骨模型，样本内变异性为零。该算法的可重复性通过计算ACS位置和方向在标本之间的变异性进行评价。标本之间ACS位置和方向的差异很小（<1.5 mm和<2.5°）。变异性主要来自标本之间的自然解剖和形态差异。所提出的算法提供了一种替代方法，用于自动确定从股骨远端和胫骨近端的受试者特定的ACS。
The combination of three-dimensional (3-D) models with dual fluoroscopy is increasingly popular for evaluating joint function in vivo. Applying these modalities to study knee motion with high accuracy requires reliable anatomical coordinate systems (ACSs) for the femur and tibia. Therefore, a robust method for creating ACSs from 3-D models of the femur and tibia is required. We present and evaluate an automated method for constructing ACSs for the distal femur and proximal tibia based solely on 3-D bone models. The algorithm requires no observer interactions and uses model cross-sectional area, center of mass, principal axes of inertia, and cylindrical surface fitting to construct the ACSs. The algorithm was applied to the femur and tibia of ten (unpaired) human cadaveric knees. Due to the automated nature of the algorithm, the within specimen variability is zero for a given bone model. The algorithm's repeatability was evaluated by calculating variability in ACS location and orientation across specimens. Differences in ACS location and orientation between specimens were low (<1.5mm and <2.5°). Variability arose primarily from natural anatomical and morphological differences between specimens. The presented algorithm provides an alternative method for automatically determining subject-specific ACSs from the distal femur and proximal tibia.
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影响因子：
2.4
作者：
MORRISON, JB
通讯作者：
MORRISON, JB
影响因子：
4.8
作者：
Jordan, Susan S.;DeFrate, Louis E.;Li, Guoan
通讯作者：
Li, Guoan
影响因子：
2.4
作者：
Most, E;Axe, J;Li, G
通讯作者：
Li, G
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2.4
作者：
McPherson, A;Kärrholm, J;Martelli, S
通讯作者：
Martelli, S
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2.4
作者：
PENNOCK, GR;CLARK, KJ
通讯作者：
CLARK, KJ