Hooijmans Melissa T, Lockard Carly A, Zhou Xingyu, Coolbaugh Crystal, Pineda Guzman Roberto, Kersh Mariana E, Damon Bruce M
Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States of America.
Carle Clinical Imaging Research Program, Stephens Family Clinical Research Institute, Carle Health, Urbana, IL, United States of America.
bioRxiv. 2024 Apr 14:2024.04.11.589123. doi: 10.1101/2024.04.11.589123.
Skeletal muscle architecture is a key determinant of muscle function. Architectural properties such as fascicle length, pennation angle, and curvature can be characterized using Diffusion Tensor Imaging (DTI), but acquiring these data during a contraction is not currently feasible. However, an image registration-based strategy may be able to convert muscle architectural properties observed at rest to their contracted state. As an initial step toward this long-term objective, the aim of this study was to determine if an image registration strategy could be used to convert the whole-muscle average architectural properties observed in the extended joint position to those of a flexed position, following passive rotation. DTI and high-resolution fat/water scans were acquired in the lower leg of seven healthy participants on a 3T MR system in +20° (plantarflexion) and -10° (dorsiflexion) foot positions. The diffusion and anatomical images from the two positions were used to propagate DTI fiber-tracts from seed points along a mesh representation of the aponeurosis of fiber insertion. The -10° and +20° anatomical images were registered and the displacement fields were used to transform the mesh and fiber-tracts from the +20° to the -10° position. Student's paired -tests were used to compare the mean architectural parameters between the original and transformed fiber-tracts. The whole-muscle average fiber-tract length, pennation angle, curvature, and physiological cross-sectional areas estimates did not differ significantly. DTI fiber-tracts in plantarflexion can be transformed to dorsiflexion position without significantly affecting the average architectural characteristics of the fiber-tracts. In the future, a similar approach could be used to evaluate muscle architecture in a contracted state.
骨骼肌结构是肌肉功能的关键决定因素。诸如肌束长度、羽状角和曲率等结构特性可以通过扩散张量成像(DTI)来表征,但目前在收缩过程中获取这些数据是不可行的。然而,基于图像配准的策略或许能够将静息状态下观察到的肌肉结构特性转换为收缩状态下的特性。作为朝着这一长期目标迈出的第一步,本研究的目的是确定在被动旋转后,图像配准策略是否可用于将在关节伸展位置观察到的全肌肉平均结构特性转换为屈曲位置的特性。在3T磁共振系统上,对7名健康参与者小腿在足背屈+20°和跖屈-10°位置采集了DTI和高分辨率脂肪/水扫描图像。利用两个位置的扩散图像和解剖图像,从种子点沿着纤维插入腱膜的网格表示传播DTI纤维束。对-10°和+20°的解剖图像进行配准,并使用位移场将网格和纤维束从+20°位置转换到-10°位置。采用学生配对t检验比较原始纤维束和转换后纤维束之间的平均结构参数。全肌肉平均纤维束长度、羽状角曲率和生理横截面积估计值无显著差异。跖屈时的DTI纤维束可以转换到背屈位置,而不会显著影响纤维束的平均结构特征。未来,类似的方法可用于评估收缩状态下的肌肉结构。