Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA; Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA; Shirley Ryan AbilityLab, Chicago, IL, USA.
Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA; Department of Physical Medicine and Rehabilitation, Northwestern, Chicago, IL, USA; Shirley Ryan AbilityLab, Chicago, IL, USA.
J Biomech. 2019 Sep 20;94:115-122. doi: 10.1016/j.jbiomech.2019.07.019. Epub 2019 Jul 25.
Muscle force can be generated actively through changes in neural excitation, and passively through externally imposed changes in muscle length. Disease and injury can disrupt force generation, but it can be challenging to separate passive from active contributions to these changes. Ultrasound elastography is a promising tool for characterizing the mechanical properties of muscles and the forces that they generate. Most prior work using ultrasound elastography in muscle has focused on the group velocity of shear waves, which increases with increasing muscle force. Few studies have quantified the phase velocity, which depends on the viscoelastic properties of muscle. Since passive and active forces within muscle involve different structures for force transmission, we hypothesized that measures of phase velocity could detect changes in shear wave propagation during active and passive conditions that cannot be detected when considering only group velocity. We measured phase and group velocity in the human biceps brachii during active and passive force generation and quantified the differences in estimates of shear elasticity obtained from each of these measurements. We found that measures of group velocity consistently overestimate the shear elasticity of muscle. We used a Voigt model to characterize the phase velocity and found that the estimated time constant for the Voigt model provided a way to distinguish between passive and active force generation. Our results demonstrate that shear wave elastography can be used to distinguish between passive and active force generation when it is used to characterize the phase velocity of shear waves propagating in muscle.
肌肉力量可以通过神经兴奋的变化主动产生,也可以通过肌肉长度的外部变化被动产生。疾病和损伤会破坏力量的产生,但要区分这些变化中被动和主动的贡献是具有挑战性的。超声弹性成像是一种很有前途的工具,可用于描述肌肉的机械特性以及肌肉产生的力量。在肌肉中使用超声弹性成像的大多数先前研究都集中在剪切波的群速度上,剪切波的群速度随着肌肉力量的增加而增加。很少有研究量化了依赖于肌肉粘弹性的相速度。由于肌肉内的被动和主动力涉及不同的力传递结构,我们假设在主动和被动条件下,相速度的测量可以检测到剪切波传播的变化,而仅考虑群速度则无法检测到这些变化。我们在人类肱二头肌中测量了主动和被动力产生期间的相速度和群速度,并量化了从这些测量中获得的剪切弹性的估计值之间的差异。我们发现,群速度的测量值总是高估了肌肉的剪切弹性。我们使用 Voigt 模型来描述相速度,并发现 Voigt 模型的估计时间常数提供了一种区分被动和主动力产生的方法。我们的结果表明,当用于描述在肌肉中传播的剪切波的相速度时,剪切波弹性成像可以用于区分被动和主动力产生。