Human soleus muscle architecture at different ankle joint angles from magnetic resonance diffusion tensor imaging

Author:

Sinha Usha1,Sinha Shantanu2,Hodgson John A.2,Edgerton Reggie V.34

Affiliation:

1. Department of Physics, San Diego State University;

2. Muscle Imaging and Modeling Laboratory, Department of Radiology, University of California, San Diego;

3. Department of Physiological Science and Neurobiology, University of California Los Angeles; and

4. Brain Research Institute, University of California Los Angeles, Los Angeles, California

Abstract

The orientation of muscle fibers influences the physiological cross-sectional area, the relationship between fiber shortening and aponeurosis shear, and the total force produced by the muscle. Such architectural parameters are challenging to determine particularly in vivo in multicompartment structures such as the human soleus with a complex arrangement of muscle fibers. The objective of this study was to map the fiber architecture of the human soleus in vivo at rest in both neutral and plantarflexed ankle positions using an MRI-based method of diffusion tensor imaging (DTI). Six subjects were imaged at 3 Tesla with the foot at rest in the two ankle positions. Eigenvalues, fractional anisotropy (FA), and eigenvector orientations of fibers in the different soleus subcompartments were evaluated after denoising of the diffusion tensor. The fiber architecture from DTI was similar to earlier studies based on a 3D fiber model from cadavers. The three eigenvalues of the diffusion tensor increased by ∼14% on increasing the joint plantarflexion angle in all of the soleus subcompartments, whereas FA showed a trend to decrease in the posterior and marginal soleus and to increase in the anterior soleus. The angle change in the lead eigenvector between the two foot positions was significant: ∼41° for the posterior soleus and ∼48° for the anterior soleus. Fibers tracked from the subcompartments support these changes seen in the eigenvector orientations. DTI-derived, subject-specific, muscle morphological data could potentially be used to model a more complete description of muscle performance and changes from disease.

Publisher

American Physiological Society

Subject

Physiology (medical),Physiology

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