Ultrasound echo is related to stress and strain in tendon.
Ultrasound echo is related to stress and strain in tendon.
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DOI：
10.1016/j.jbiomech.2010.09.033
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发表时间：
2011-02-03
影响因子：
2.4
通讯作者：
Vanderby, Ray, Jr.
中科院分区：
文献类型：
--
作者：
Duenwald, Sarah;Kobayashi, Hirohito;Frisch, Kayt;Lakes, Roderic;Vanderby, Ray, Jr.
肌腱的力学行为已经在体外得到了很好的研究。一种非侵入性的获取机械数据的方法将是非常有益的。弹性成像是一种很有前途的活体组织力学行为采集方法，但它有其固有的局限性。本研究报告了超声回声强度(B型超声图像亮度)与肌腱体外力学行为之间的关系，提出了声弹性作为一种替代的基于超声的肌腱应力和应变测量方法。在力学测试系统中循环加载猪指屈肌腱，同时记录超声回声响应。我们报告，回声强度在时间上与应用的循环应变模式密切相关，具有更高的应变方案，导致更大的回声强度变化。我们还报告了回声强度与应力呈非线性关系，与应变呈近线性关系。这表明，超声回波强度与加载组织中的机械行为有关，通过声弹性响应，正如先前在均匀的、几乎不可压缩的材料中所描述的那样。因此，声弹性能够将与应变相关的刚度和应力与反射的回波联系起来，甚至在处理过的从粘弹性、非均匀材料(如肌腱)反射的B型信号中也是如此，是一种有希望的非侵入性获取活体力学数据的指标。
The mechanical behavior of tendons has been well studied in vitro. A noninvasive method to acquire mechanical data would be highly beneficial. Elastography has been a promising method of gathering in vivo tissue mechanical behavior, but it has inherent limitations. This study presents acoustoelasticity as an alternative ultrasound-based method of measuring tendon stress and strain by reporting a relationship between ultrasonic echo intensity (B mode ultrasound image brightness) and mechanical behavior of tendon in vitro. Porcine digital flexor tendons were cyclically loaded in a mechanical testing system while ultrasonic echo response was recorded. We report that echo intensity closely follows the applied cyclic strain pattern in time with higher strain protocols resulting in larger echo intensity changes. We also report that echo intensity is related nonlinearly to stress and nearly linearly to strain. This indicates that ultrasonic echo intensity is related to the mechanical behavior in a loaded tissue by an acoustoelastic response, as previously described in homogeneous, nearly incompressible materials. Acoustoelasticity is therefore able to relate strain-dependent stiffness and stress to the reflected echo, even in the processed B-mode signals reflected from viscoelastic, inhomogeneous material such as tendon, and is a promising metric to acquire in vivo mechanical data noninvasively.
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影响因子：
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通讯作者：
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