Development and validation of ultrasound speckle tracking to quantify tendon displacement

Development and validation of ultrasound speckle tracking to quantify tendon displacement
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DOI:
10.1016/j.jbiomech.2010.01.001
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发表时间:
2010-05-07
影响因子:
2.4
通讯作者:
Bosch, Johan G.
Bosch, Johan G.
中科院分区:
工程技术3区
文献类型:
--
作者:
Korstanje, Jan-Wiebe H.;Selles, Ruud W.;Bosch, Johan G.

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超声可用于研究肌腱运动。然而,肌腱运动的测量大多是基于手动跟踪解剖标志,如肌肉-肌腱交界处,限制了少量肌肉-肌腱单位的适用性。本研究的目的是使用针对长b模式图像序列中肌腱优化的散斑跟踪算法,在没有解剖标志的情况下量化肌腱位移。为了处理长序列的大位移,设计了一种专用的二维多核块匹配亚像素运动估计方案。对猪肌腱在不同位移和速度下的跟踪精度进行了评价。随后,对人体尸体手部指浅屈肌(FDS)的跟踪精度进行了评估。最后,通过测量腕部FDS的运动来确定肌腱跟踪的体内准确性。猪实验和人尸体手臂实验的平均跟踪误差分别为0.08和0.05 mm(1.3%和1.0%)。在体内实验中,跟踪误差平均为0.3 mm(1.6%)。本研究表明,我们的专用斑点跟踪可以在不需要解剖标记的情况下,高精度地量化不同生理速度下的肌腱位移。与使用解剖标记相比,该技术允许在大位移和更大范围的肌腱上进行跟踪。(C) 2010 Elsevier Ltd.版权所有。
Ultrasound can be used to study tendon movement. However, measurement of tendon movement is mostly based on manual tracking of anatomical landmarks such as the musculo-tendinous junction, limiting the applicability to a small number of muscle-tendon units. The aim of this study was to quantify tendon displacement without anatomical landmarks using a speckle tracking algorithm optimized for tendons in long B-mode image sequences. A dedicated two-dimensional multi-kernel block-matching scheme with subpixel motion estimation was devised to handle large displacements over long sequences. The accuracy of the tracking on porcine tendons was evaluated during different displacements and velocities. Subsequently, the accuracy of tracking the flexor digitorum superficialis (FDS) of a human cadaver hand was evaluated. Finally, the in-vivo accuracy of the tendon tracking was determined by measuring the movement of the FDS at the wrist level. For the porcine experiment and the human cadaver arm experiment tracking errors were, on average, 0.08 and 0.05 mm, respectively (1.3% and 1.0%). For the in-vivo experiment the tracking error was, on average, 0.3 mm (1.6%). This study demonstrated that our dedicated speckle tracking can quantify tendon displacement at different physiological velocities without anatomical landmarks with high accuracy. The technique allows tracking over large displacements and in a wider range of tendons than by using anatomical landmarks. (C) 2010 Elsevier Ltd. All rights reserved.