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Validation of a New Model-Based Tracking Technique for Measuring Three-Dimensional In Vivo Glenohumeral Joint Kinematics

机译:一种新的基于模型的跟踪技术的验证该跟踪技术可用于测量三维体内Glenohumeral关节运动学

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摘要

Shoulder motion is complex and significant research efforts have focused on measuring glenohumeral joint motion. Unfortunately, conventional motion measurement techniques are unable to measure glenohumeral joint kinematics during dynamic shoulder motion to clinically significant levels of accuracy. The purpose of this study was to validate the accuracy of a new model-based tracking technique for measuring three-dimensional, in vivo glenohumeral joint kinematics. We have developed a model-based tracking technique for accurately measuring in vivo joint motion from biplane radiographic images that tracks the position of bones based on their three-dimensional shape and texture. To validate this technique, we implanted tantalum beads into the humerus and scapula of both shoulders from three cadaver specimens and then recorded biplane radiographic images of the shoulder while manually moving each specimen’s arm. The position of the humerus and scapula were measured using the model-based tracking system and with a previously validated dynamic radiostereometric analysis (RSA) technique. Accuracy was reported in terms of measurement bias, measurement precision, and overall dynamic accuracy by comparing the model-based tracking results to the dynamic RSA results. The model-based tracking technique produced results that were in excellent agreement with the RSA technique. Measurement bias ranged from −0.126 to 0.199 mm for the scapula and ranged from −0.022 to 0.079 mm for the humerus. Dynamic measurement precision was better than 0.130 mm for the scapula and 0.095 mm for the humerus. Overall dynamic accuracy indicated that rms errors in any one direction were less than 0.385 mm for the scapula and less than 0.374 mm for the humerus. These errors correspond to rotational inaccuracies of approximately 0.25 deg for the scapula and 0.47 deg for the humerus. This new model-based tracking approach represents a non-invasive technique for accurately measuring dynamic glenohumeral joint motion under in vivo conditions. The model-based technique achieves accuracy levels that far surpass all previously reported non-invasive techniques for measuring in vivo glenohumeral joint motion. This technique is supported by a rigorous validation study that provides a realistic simulation of in vivo conditions and we fully expect to achieve these levels of accuracy with in vivo human testing. Future research will use this technique to analyze shoulder motion under a variety of testing conditions and to investigate the effects of conservative and surgical treatment of rotator cuff tears on dynamic joint stability.
机译:肩部运动很复杂,大量的研究工作集中在测量肱肱关节运动上。不幸的是,常规的运动测量技术在动态肩部运动过程中无法测量盂肱关节运动学到临床上显着的准确性水平。这项研究的目的是验证一种新的基于模型的跟踪技术的精度,该跟踪技术可用于测量三维体内肱肱关节运动学。我们已经开发了一种基于模型的跟踪技术,可以从双平面射线照相图像中准确测量体内关节运动,从而根据骨骼的三维形状和纹理跟踪骨骼的位置。为了验证该技术,我们将钽珠从三个尸体标本植入到双肩的肱骨和肩骨中,然后在手动移动每个标本的手臂的同时记录肩部的双平面射线照相图像。肱骨和肩system骨的位置使用基于模型的跟踪系统并使用先前经过验证的动态放射线立体分析(RSA)技术进行了测量。通过将基于模型的跟踪结果与动态RSA结果进行比较,以测量偏差,测量精度和总体动态精度来报告准确性。基于模型的跟踪技术产生的结果与RSA技术非常吻合。肩cap骨的测量偏差范围为-0.126至0.199 mm,肱骨的测量偏差范围为-0.022至0.079 mm。肩cap骨的动态测量精度优于肱骨的0.130 mm,肱骨的动态测量精度优于0.095 mm。总体动态精度表明,肩s骨在任一方向的均方根误差均小于0.385 mm,肱骨的均方根误差均小于0.374 mm。这些误差对应于肩cap骨约0.25度和肱骨约0.47度的旋转误差。这种基于模型的新跟踪方法代表了一种无创技术,可在体内条件下准确测量动态盂肱关节运动。基于模型的技术所达到的准确度水平远远超过了以前报道的用于测量体内盂肱关节运动的所有非侵入性技术。这项严格的验证研究为这项技术提供了支持,该研究提供了体内条件的真实模拟,我们完全希望通过体内人体测试达到这些准确性水平。未来的研究将使用该技术来分析各种测试条件下的肩部运动,并研究保守治疗和手术治疗肩袖撕裂对动态关节稳定性的影响。

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