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首页> 外文期刊>Journal of Biomechanics >Fusion of radiostereometric analysis data into computed tomography space: application to the elbow joint.
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Fusion of radiostereometric analysis data into computed tomography space: application to the elbow joint.

机译:放射线立体分析数据到计算机断层摄影空间的融合:在肘关节中的应用。

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摘要

Improvement of joint prostheses is dependent upon information concerning the biomechanical properties of the joint. Radiostereometric analysis (RSA) and electromagnetic techniques have been applied in previous cadaver and in vivo studies on the elbow joint to provide valuable information concerning joint motion axes. However, such information is limited to mathematically calculated positions of the axes according to an orthogonal coordinate system and is difficult to relate to individual skeletal anatomy. The aim of this study was to evaluate the in vivo application of a new fusion method to provide three-dimensional (3D) visualization of flexion axes according to bony landmarks. In vivo RSA data of the elbow joint's flexion axes was combined with data obtained by 3D computed tomography (CT). Results were obtained from five healthy subjects after one was excluded due to an instable RSA marker. The median error between imported and transformed RSA marker coordinates and those obtained in the CT volume was 0.22 mm. Median maximal rotation error after transformation of the rigid RSA body to the CT volume was 0.003 degrees . Points of interception with a plane calculated in the RSA orthogonal coordinate system were imported into the CT volume, facilitating the 3D visualization of the flexion axes. This study demonstrates a successful fusion of RSA and CT data, without significant loss of RSA accuracy. The method could be used for relating individual motion axes to a 3D representation of relevant joint anatomy, thus providing important information for clinical applications such as the development of joint prostheses.
机译:关节假体的改进取决于有关关节的生物力学特性的信息。以前的尸体和肘关节的体内研究已应用了放射立体分析(RSA)和电磁技术,以提供有关关节运动轴的有价值的信息。然而,这样的信息限于根据正交坐标系在数学上计算的轴的位置,并且难以与个体骨骼解剖学相关。这项研究的目的是评估一种新的融合方法在体内的应用,以根据骨标志物提供屈曲轴的三维(3D)可视化。将肘关节屈曲轴的体内RSA数据与通过3D计算机断层扫描(CT)获得的数据结合在一起。由于不稳定的RSA标记而排除了一名健康受试者后,从五名健康受试者中获得了结果。导入和转换的RSA标记坐标与CT体积中获得的坐标之间的中值误差为0.22 mm。刚性RSA体转变为CT体积后的最大最大旋转误差为0.003度。将在RSA正交坐标系中计算的平面的截取点导入到CT体积中,以方便3D可视化弯曲轴。这项研究证明了RSA和CT数据的成功融合,而没有RSA准确性的重大损失。该方法可用于将各个运动轴与相关关节解剖结构的3D表示相关联,从而为临床应用(例如关节假体的开发)提供重要信息。

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