PDF(Pubmed)
Abstract：
UNASSIGNED: In this paper, we introduce a novel method for determining 3D deformations of the human tibialis anterior (TA) muscle during dynamic movements using 3D ultrasound.
UNASSIGNED: An existing automated 3D ultrasound system is used for data acquisition, which consists of three moveable axes, along which the probe can move. While the subjects perform continuous plantar- and dorsiflexion movements in two different controlled velocities, the ultrasound probe sweeps cyclically from the ankle to the knee along the anterior shin. The ankle joint angle can be determined using reflective motion capture markers. Since we considered the movement direction of the foot, i.e., active or passive TA, four conditions occur: slow active, slow passive, fast active, fast passive. By employing an algorithm which defines ankle joint angle intervals, i.e., intervals of range of motion (ROM), 3D images of the volumes during movement can be reconstructed.
UNASSIGNED: We found constant muscle volumes between different muscle lengths, i.e., ROM intervals. The results show an increase in mean cross-sectional area (CSA) for TA muscle shortening. Furthermore, a shift in maximum CSA towards the proximal side of the muscle could be observed for muscle shortening. We found significantly different maximum CSA values between the fast active and all other conditions, which might be caused by higher muscle activation due to the faster velocity.
UNASSIGNED: In summary, we present a method for determining muscle volume deformation during dynamic contraction using ultrasound, which will enable future empirical studies and 3D computational models of skeletal muscles.
UNASSIGNED: An existing automated 3D ultrasound system is used for data acquisition, which consists of three moveable axes, along which the probe can move. While the subjects perform continuous plantar- and dorsiflexion movements in two different controlled velocities, the ultrasound probe sweeps cyclically from the ankle to the knee along the anterior shin. The ankle joint angle can be determined using reflective motion capture markers. Since we considered the movement direction of the foot, i.e., active or passive TA, four conditions occur: slow active, slow passive, fast active, fast passive. By employing an algorithm which defines ankle joint angle intervals, i.e., intervals of range of motion (ROM), 3D images of the volumes during movement can be reconstructed.
UNASSIGNED: We found constant muscle volumes between different muscle lengths, i.e., ROM intervals. The results show an increase in mean cross-sectional area (CSA) for TA muscle shortening. Furthermore, a shift in maximum CSA towards the proximal side of the muscle could be observed for muscle shortening. We found significantly different maximum CSA values between the fast active and all other conditions, which might be caused by higher muscle activation due to the faster velocity.
UNASSIGNED: In summary, we present a method for determining muscle volume deformation during dynamic contraction using ultrasound, which will enable future empirical studies and 3D computational models of skeletal muscles.
摘要：
■在本文中，我们介绍了一种使用3D超声在动态运动过程中确定人体胫骨前（TA）肌肉3D变形的新方法。
■现有的自动3D超声系统用于数据采集，它由三个可移动轴组成，探测器可以沿着它移动。当受试者以两种不同的受控速度进行连续的足底和背屈运动时，超声探头沿着前胫骨从脚踝到膝盖周期性扫描。可以使用反射运动捕捉标记来确定踝关节角度。既然我们考虑了脚的运动方向，即，主动或被动TA，出现四种情况:缓慢活跃，缓慢被动,快速激活,快速被动。通过使用定义踝关节角度间隔的算法，即，运动范围的间隔（ROM），可以重建移动期间的体积的3D图像。
■我们发现不同肌肉长度之间的肌肉体积恒定，即，ROM间隔。结果显示TA肌肉缩短的平均横截面积(CSA)增加。此外，对于肌肉缩短，可以观察到最大CSA向肌肉近侧的偏移。我们发现快速激活和所有其他条件之间的最大CSA值存在显着差异，这可能是由于较快的速度导致较高的肌肉激活。
■总之，我们提出了一种使用超声确定动态收缩过程中肌肉体积变形的方法，这将使未来的实证研究和骨骼肌的3D计算模型成为可能。
■现有的自动3D超声系统用于数据采集，它由三个可移动轴组成，探测器可以沿着它移动。当受试者以两种不同的受控速度进行连续的足底和背屈运动时，超声探头沿着前胫骨从脚踝到膝盖周期性扫描。可以使用反射运动捕捉标记来确定踝关节角度。既然我们考虑了脚的运动方向，即，主动或被动TA，出现四种情况:缓慢活跃，缓慢被动,快速激活,快速被动。通过使用定义踝关节角度间隔的算法，即，运动范围的间隔（ROM），可以重建移动期间的体积的3D图像。
■我们发现不同肌肉长度之间的肌肉体积恒定，即，ROM间隔。结果显示TA肌肉缩短的平均横截面积(CSA)增加。此外，对于肌肉缩短，可以观察到最大CSA向肌肉近侧的偏移。我们发现快速激活和所有其他条件之间的最大CSA值存在显着差异，这可能是由于较快的速度导致较高的肌肉激活。
■总之，我们提出了一种使用超声确定动态收缩过程中肌肉体积变形的方法，这将使未来的实证研究和骨骼肌的3D计算模型成为可能。
