We quantified 3D strain tensor in the principle and muscle fiber basis along with two invariants (volumetric and octahedral shear strain) from multi-slice velocity encoded phase contrast images of the in-vivo human calf muscle under isometric contractions. Significant decreases in the medial gastrocnemius and soleus contractile strain eigenvalue and in the invariants with suspension may potentially arise from changes in muscle contractility and/or from extracellular remodeling. The significant reduction in shear strain may indicate a decrease in lateral transmission of force that may account for the disproportionate loss of force to loss of mass with atrophy.
Seven subjects (IRB approved) were scanned on a 1.5T GE scanner before and after a four-week period of muscle atrophy induced on the non-dominant leg using the ULLS model. Gated VE-PC images obtained during isometric contraction at 35% MVC (TE: 7.7ms, TR: 16.4ms, NEX: 2, FA: 20°, 7 contiguous slices, thickness 5mm / skip 0, sagittal-oblique orientation, FOV: 30 × 22.5cm, matrix: 256 × 192, 4 views/segment, 22 phases, 3D velocity encoding, VENC: 10 cm/s)5. Lower leg was placed in a plaster cast with an embedded strain sensor and real-time visual feedback provided to the subject. Diffusion weighted images of the lower leg in relaxed state corresponding to first frame of VE-PC images and matching geometry were also acquired. Displacements were calculated by tracking voxels across the dynamic cycle in the phase images after phase correction and denoising. Strain tensor (E) was calculated by taking spatial gradient of the displacements (in x-,y-, and z-directions) obtained with respect to the first frame of the contraction-relaxation cycle. Principle basis eigenvalues (denoted by Efiber, Ein-plane, Ethrough-plane) were obtained through eigenvalue decomposition, octahedral shear strain (Eshear) and volumetric strain (Evol) were calculated using equation (1) and (2). In addition, components of the strain tensor in the diffusion basis (labeled f- muscle fiber, s- and t- secondary/tertiary diffusion eigenvector direction) were obtained by rotating SR tensor according to the equation (3) where R is the matrix of the diffusion eigenvectors in the voxel (obtained from the DTI data).
$$(1) \quad E_{shear} = \frac{2}{3}\sqrt{(E_{xx}-E_{yy})^2+(E_{xx}-E_{zz})^2+(E_{yy}-E_{zz})^2+6(E_{xy}^2-E_{xz})^2+E_{yz}^2}$$
$$(2) \quad E_{vol}=\frac{\delta V}{V}=E_{xx}+E_{yy}+E_{zz}$$
$$(3) \quad SR_{DTI} = R · SR · R^{T} $$
Quantitative analysis was performed for 3D regions of interest (28mm x 10mm x 15mm) placed inside the MG and SOL muscles. Position of each voxel inside ROI was tracked across the contraction-relaxation cycle. Differences in strain indices between pre- and post-ULLS groups extracted at the frame corresponding to max force were assessed using repeated measures two-way ANOVAs.
[1] De Boer MD, Maganaris CN, Seynnes OR, Rennie MJ & Narici MV. The Journal of Physiology2007; 583:1079–1091.
[2] Ramaswamy KS, Palmer ML, van der Meulen JH, Renoux A, Kostrominova TY, Michele DE, et al. J Physiol-London. 2011;589(5):1195-208
[3] Jensen ER, Morrow DA, Felmlee JP, Murthy NS, Kaufman KR.Physiol Meas. 2015;36:N135-46.
[4] Zhong X, Epstein FH, Spottiswoode BS, Helm PA, Blemker SS. J Biomech.2008;41(3):532-40.
[5]Malis V, Sinha U, Csapo R, Narici M, Sinha S. Magn Reson Med.2017;doi: 10.1002/mrm.26759.