Deva D. Chan1,2, Paull C. Gossett2, Robert L. Wilson3, Woong Kim2, Yue Mei4,5,6, Kent Butz2, Nancy Emery7, Eric A. Nauman2, Stéphane Avril6, and Corey P. Neu2,3
1Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, United States, 2Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 3Mechanical Engineering, University of Colorado Boulder, Boulder, CO, United States, 4Engineering Mechanics, Dalian University of Technology, Dalian, China, 5International Research Center for Computational Mechanics, Dalian University of Technology, Dalian, China, 6Center for Biomedical and Healthcare Engineering, MINES Saint-Étienne, Saint-Étienne, France, 7Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO, United States
Synopsis
IVD degeneration is the most recognized
cause of low back pain, characterized by the decline of tissue structure and
mechanics. MRI relaxometry is one quantitative measure of IVD degeneration, yet
MRI metrics of mechanics have not been fully explored. We quantified patterns
of IVD strain and mechanics during physiological compression and bending.
Strains patterns depended on the loading mode, and shear modulus in the nucleus
pulposus was typically an order of magnitude lower than the annulus fibrosis,
except in bending, where the apparent stiffness depended on the loading direction.
Strain and material properties provide new possible biomarkers for IVD
degeneration.
Introduction
Low back
pain is the leading cause of chronic disability in industrialized Western
societies [1]. IVD degeneration, even its earliest form, is
characterized by a breakdown of the extracellular matrix; the associated loss
of water and proteoglycan [2] is typically assessed by MRI. The
mechanical function of the IVD is closely associated with the integrity and
content of the matrix [3]; therefore, its responses under load could
provide a more direct assessment of tissue health. MRI approaches, including
dualMRI (displacements under applied loading by MRI)
[4], have measured internal strains of the IVD under compression. The
primary objective of this study was to measure MRI-based strain maps.
Additionally, we utilized inverse modelling to calculate the shear modulus throughout
the IVD. Finally, we discuss spatial correspondences of mechanical and
relaxometry measures as potential assessment for IVD degeneration.Methods
Specimen Preparation: Human lumbar segments (L4-L5) were procured from donors (n=3, 1 female,
35±13yrs, range: 22-48yrs, height: 172±12cm, weight: 92±17kg). Segments were secured
to a sample holder, which permitted quick interchange of loading modes from
axial-compression to bending by removal of a support pin, for connection into
an MRI-compatible electro-pneumatic loading system placed inside a 9.4-Tesla
horizontal bore imaging system (Bruker GMBH, Ettlingen, Germany; Figure 1).
T1 and T2 Mapping: Relaxometry was performed in both sagittal and coronal
planes (Figure 2), matching the planes
of subsequent load-synchronized imaging. Scan parameters were: field of
view=64×64mm2, spatial resolution=250×250µm2, slice
thickness=2mm. For T1
mapping, a fast spin echo (FSE) acquisition was used with
multiple repetition times (TR=100, 300, 500, 1000, 2000, 4000ms) and a 10-ms echo
time (TE). For T2
mapping, FSE parameters included TE=20, 60, 100, 141, 181,
221, 261, and 301ms and TR=4000ms. T1 and T2
mapping was obtained using monoexponential fitting.
Strain Mapping: Using dualMRI, 2D Green-Lagrange strains (Exx, Eyy,
Exy) representing transverse,
superointerior and shear directions, respectively, were measured in coronal and
sagittal planes under cyclic compression and bending of the IVD applied by the
loading system described. For compression, 445 N along the superoinferior axis
for 2 seconds, every 5 seconds, simulated a typical force during normal gait [5].
For bending, a 3.0-N∙m moment in the anterior direction was consistent with
typical moments within the lumbar spine under non-strenuous movements [7].
dualMRI was achieved with displacement encoding of 0.32 rad/mm [6] and
phase cycling to eliminate artifacts. Acquisition of images of the same
resolution and field of view as relaxometry was accomplished with balanced
steady state free precession (bSSFP, TE/TR=1.607ms/3.215ms, flip angle=25°).
Custom software (Matlab) was used to calculate displacements and strains [6].
Inverse Modeling: We mapped the shear
modulus of human IVD utilizing an iterative inverse approach, minimizing the
gap between measured and computed displacement fields throughout the region of
interest in L2 norm [8] and the finite element method. To avoid
overfitting, we introduced a regularization term in the cost function to smooth
the reconstructed elastic property distribution. The optimization problem was
solved by the quasi-Newton method, and the iterative process terminated when
the difference of the objective function values or the associated gradients
between two neighboring iterations were less than the machine precision.
Statistical
Analysis:
All data is presented as mean±standard
deviation of the mean.Results
Regions of elevated T1 and T2
values were observed in the center of the IVD in both
coronal and sagittal planes (Figure 2),
consistent with the nucleus pulposus. All dualMRI-based strains, under
compression and bending, exhibited heterogeneous patterns in both coronal and
sagittal planes (Figures 3 and 4). The cohort
means for Exx, Eyy and Exy were 0.018 ± 0.006, -0.031 ± 0.006 and 0.002 ±
0.002, respectively. Under compression, maximum Exx and Eyy
in coronal and sagittal planes showed no apparent pattern. However, under
bending, locations of strain maxima were more predictable. In the coronal
plane, maxima were located at the midline of the disc, and, in the sagittal
plane, at the posterior aspect. Patterns of shear modulus demonstrated a soft nucleus
pulposus, except in bending, where an apparent stiffening was observed in
anterior joint.Discussion
Strain and
material property mapping are important metrics to assess intratissue mechanics
under physiologically-relevant loading. Relaxometry cannot be used as a reliable surrogate for the mechanical
behavior (i.e. strain) of the IVD, but more closely matched patterns of shear
modulus, where elevated T1 and T2 values corresponded to the softer nucleus
pulposus. In this study, dualMRI was employed as the gold standard in assessing
the strain under large, physiological loading. IVD bending (compared to compression)
resulted in more similar strain patterns among the samples and more symmetric
strain in coronal plane about the midline, suggesting that bending is a more
stable form of loading in IVD motion segments. Moreover, using dualMRI and
inverse modelling, calculation of shear modulus was possible and represent the
material properties expected during daily activities, unlike conventional MR
shear wave elastography, which estimates material properties under high
frequency deformations. Our results suggest that dualMRI and shear modulus metrics are well
suited for the detailed assessment of intratissue mechanics in the IVD under
physiologically relevant loading, allowing for detection or functional monitoring
of early tissue damage in future studies.Acknowledgements
This work was supported, in part, by NIH R01 AR063712 and R21 AR066665, and NSF CAREER 134735.References
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