scholarly journals Subject‐specific muscle properties from diffusion tensor imaging significantly improve the accuracy of musculoskeletal models

2020 ◽  
Vol 237 (5) ◽  
pp. 941-959 ◽  
Author(s):  
James P. Charles ◽  
Barbara Grant ◽  
Kristiaan D’Août ◽  
Karl T. Bates
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Muscle Properties ◽  
Musculoskeletal Models ◽  
Subject Specific ◽  
Specific Muscle

Determining Subject-Specific Lower-Limb Muscle Architecture Data for Musculoskeletal Models Using Diffusion Tensor Imaging

2019 ◽  
Vol 141 (6) ◽  
Author(s):  
James P. Charles ◽  
Chan-Hong Moon ◽  
William J. Anderst
Keyword(s):  
Diffusion Tensor Imaging ◽  
Magnetic Resonance ◽  
Diffusion Tensor ◽  
Imaging Techniques ◽  
Muscle Architecture ◽  
Lower Limbs ◽  
Cross Sectional ◽  
Musculoskeletal Models ◽  
Subject Specific

Accurate individualized muscle architecture data are crucial for generating subject-specific musculoskeletal models to investigate movement and dynamic muscle function. Diffusion tensor imaging (DTI) magnetic resonance (MR) imaging has emerged as a promising method of gathering muscle architecture data in vivo; however, its accuracy in estimating parameters such as muscle fiber lengths for creating subject-specific musculoskeletal models has not been tested. Here, we provide a validation of the method of using anatomical magnetic resonance imaging (MRI) and DTI to gather muscle architecture data in vivo by directly comparing those data obtained from MR scans of three human cadaveric lower limbs to those from dissections. DTI was used to measure fiber lengths and pennation angles, while the anatomical images were used to estimate muscle mass, which were used to calculate physiological cross-sectional area (PCSA). The same data were then obtained through dissections, where it was found that on average muscle masses and fiber lengths matched well between the two methods (4% and 1% differences, respectively), while PCSA values had slightly larger differences (6%). Overall, these results suggest that DTI is a promising technique to gather in vivo muscle architecture data, but further refinement and complementary imaging techniques may be needed to realize these goals.

Modeling muscle function using experimentally determined subject-specific muscle properties

2021 ◽  
Vol 117 ◽  
pp. 110242 ◽  
Author(s):  
J.M. Wakeling ◽  
C. Tijs ◽  
N. Konow ◽  
A.A. Biewener
Keyword(s):  
Muscle Function ◽  
Muscle Properties ◽  
Subject Specific ◽  
Specific Muscle

scholarly journals Subject-specific changes in brain white matter on diffusion tensor imaging after sports-related concussion

2012 ◽  
Vol 30 (2) ◽  
pp. 171-180 ◽  
Author(s):  
Jeffrey J. Bazarian ◽  
Tong Zhu ◽  
Brian Blyth ◽  
Allyson Borrino ◽  
Jianhui Zhong
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Diffusion Tensor ◽  
Brain White Matter ◽  
Subject Specific

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

2011 ◽  
Vol 110 (3) ◽  
pp. 807-819 ◽  
Author(s):  
Usha Sinha ◽  
Shantanu Sinha ◽  
John A. Hodgson ◽  
Reggie V. Edgerton
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Muscle Fibers ◽  
Muscle Performance ◽  
Morphological Data ◽  
Total Force ◽  
Fiber Architecture ◽  
Cross Sectional ◽  
Specific Muscle

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.

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