Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2017 Jul 1.
Published in final edited form as: Spine (Phila Pa 1976). 2016 Jul 1;41(13):E770–E777. doi: 10.1097/BRS.0000000000001463

Optical coherence tomographic elastography reveals mesoscale shear strain inhomogeneities in the annulus fibrosus

Sang Kuy Han 1,2, Chao-Wei Chen 1, Kevin M Labus 3, Christian M Puttlitz 3,4,5, Yu Chen 1, Adam H Hsieh 1,6
PMCID: PMC4925193  NIHMSID: NIHMS753238  PMID: 26849796

STRUCTURED ABSTRACT

Study Design

Basic science study using in vitro tissue testing and imaging to characterize local strains in annulus fibrosus (AF) tissue.

Objective

To characterize mesoscale strain inhomogeneities between lamellar and inter-/translamellar (ITL) matrix compartments during tissue shear loading.

Summary of Background Data

The intervertebral disc (IVD) is characterized by significant heterogeneities in tissue structure and plays a critical role in load distribution and force transmission in the spine. In particular, the AF possesses a lamellar architecture interdigitated by a complex network of extracellular matrix components that form a distinct ITL compartment. Currently, there is not a firm understanding of how the lamellar and ITL matrix coordinately support tissue loading.

Methods

AF tissue samples were prepared from frozen porcine lumbar spines and mounted onto custom fixtures of a materials testing system that incorporates optical coherence tomography (OCT) imaging in order to perform tissue elastography. Tissues were subjected to 20 and 40% nominal shear strain, and OCT images were captured and segmented to identify regions of interest corresponding to lamellar and ITL compartments. Images were analyzed using an optical flow algorithm to quantify local shear strains within each compartment.

Results

Using histology and OCT, we first verified our ability to visualize and discriminate the ITL matrix from the lamellar matrix in porcine AF tissues. Local AF strains in the ITL compartment (22.0 ± 13.8, 31.1 ± 16.9 at 20% and 40% applied shear, respectively) were significantly higher than corresponding strains in the surrounding lamellar compartment (12.1 ± 5.6, 15.3 ± 5.2) for all tissue samples (p<0.05).

Conclusions

Results from this study demonstrate that the lamellar and ITL compartments of the AF distribute strain unevenly during tissue loading. Specifically, shear strain is significantly higher in the ITL matrix, suggesting that these regions may be more susceptible to tissue damage and more mechanobiologically active.

Keywords: interlamellar matrix, translamellar crossbridge, lamellae, annulus fibrosus, mesoscale, mesostructure, optical coherence tomography, elastography, biomechanics, intervertebral disc

INTRODUCTION

Degenerative disc disease (DDD) continues to burden human lives as well as national economies worldwide, but an effective preventative strategy remains elusive.13 As previously observed, the disorder afflicts the entire intervertebral disc (IVD), but the underlying events appear to occur in localized regions and propagate in overlapping phases, one of which involves annular fissuring and disruption of lamellar structure.4,5 Reports from the literature strongly suggest a link between mechanical stress and aging/degeneration.616 It has been proposed that nerve and vascular ingrowth may be potentiated by a permissive microenvironment within annular fissures,17 whose origins have recently been postulated to arise from excessive shear generated by stress gradients in the annulus fibrosus (AF).18

Considering the structural inhomogeneity of the AF,1923 it is possible that certain regions within the annulus tissue may be more acutely susceptible to these types of stress gradients during IVD loading. One plausible candidate is the proteoglycan- and elastin-rich interlamellar and translamellar cross-bridge (ITL) compartment.2427 Although the precise mechanical properties of ITL matrix have never been directly measured, its composition is very distinct from the well organized regions of lamellar collagen, and changes with age and health of the disc. Aggrecan, versican, and type VI collagen accumulate in the ITL space of ovine neonates, despite being absent in newborns.27 In humans, total elastin content in discs increases with degeneration grade28 but decreases in scoliotic IVDs.29 Unique cell morphologies have also been found in the bovine ITL matrix,30,31 suggesting that this compartment is subject to a biophysically dissimilar microenvironment relative to the lamellar matrix.

The distinct matrix composition and organization likely result in a mismatch in properties between lamellar and ITL compartments and may lead to significant differences in mechanical responses during tissue loading, potentially as it pertains to AF tissue damage. Previous studies on interlamellar mechanics seem to support this notion. At the macroscale level, interlamellar lap testing showed that the mechanical connection between lamellae is initially robust, but substantial sliding begins to occur with interlamellar damage.32 Interestingly, this failed interface was able to continue sustaining forces equal to roughly 50% that of intact over great sliding distances. Recently, using a combinatorial approach of tissue testing and computational modeling, we investigated circumferential shear loading of ovine AF tissue and found that the shear modulus is much higher within lamellae than between lamellae.33 At the microstructural level, collagen fiber sliding and shear deformation within and across AF lamellae have been observed in bovine IVDs during motion segment bending.34 The morphology of interlamellar matrix under microtensile loading and intradiscal pressurization also suggest vulnerability to damage.23,35

One hurdle in our understanding of how these complex substructures cooperatively govern AF mechanics during potentially damaging large tissue deformations is that current approaches require either microdissection that strips away many of the in situ matrix interactions that exist or allow only surface/near-surface measurements. The goal of this study was to leverage the advantages of optical coherence tomography (OCT) to visualize mesostructural elements (i.e. the ITL matrix) in order to gain a better understanding of how this compartment deforms relative to lamellar matrix during damage-inducing levels of tissue shear loading. We have previously demonstrated the use of OCT in characterizing 3-D morphologies of the ITL network at relatively high resolution.19 In this study, we show that elastographic analysis can be performed using OCT images obtained before and after loading. Specifically, we observed that under high AF tissue deformations the ITL compartment undergoes much higher shear strain than lamellae, suggestive of matrix damage. These differences could theoretically serve as contributing factors to the initiation of annular clefts and fissures, as well as to the stimulation of active tissue remodeling.

MATERIALS AND METHODS

OCT imaging

A swept-source OCT system (Thorlabs, Newton, NJ) was used in this study. Its center wavelength was at 1.31 μm, and the full-width-half maximum (FWHM) bandwidth was 0.1 μm, yielding a theoretical dispersion-free axial resolution of 7.6μm(=2ln2π1.3120.1) in air, or 5.6 μm in IVD where index of refraction n=1.35 was assumed. The objective in the OCT sample arm was 10x (NA=0.1; Olympus, Waltham, MA), achieving a theoretical lateral resolution of ~4.8(=0.371.310.1)μm.

Each A-scan of the OCT mapped 2.55mm penetration depth in air (or 1.89mm in tissue) in 512 pixels, and the OCT operated at a sweep rate of 16 kHz (16k A-scans per second), scanning 3.6×3.6 mm2 wide. Therefore, a data cube of 512×512×512 pixels captured a 3.6×3.6×1.89mm field of view (FOV) in about 16.3 seconds. The effective penetration depth was, however, only about 0.5 mm (compared to 1.89mm), which likely results from the scattering nature of the dense collagen in the AF and OCT sensitivity. The OCT delivered 6.3 mW (averaged over the swept spectra) to the sample. By using the adjustable neutral densities as the sample and collecting the reflected light, the sensitivity (signal-to-noise ratio, SNR) was measured being 95 dB.

Histological validation of translamellar cross-bridge imaging by OCT

Skeletally mature porcine lumbar motion segments were generously provided by Dr. Thomas Caperna (United States Department of Agriculture). AF samples were excised from the anterior region and fixed in a 10% neutral buffered formalin solution for 7 days. AF samples were first imaged by OCT. The same samples were then processed in graded ethanol and xylene baths before paraffin embedding (TP1020/EG1160; Leica Microsystems, Buffalo Grove, IL, USA). Paraffin blocks were cut with a microtome (HM355; Microm/Thermo Fisher Scientific, Waltham, MA, USA) to obtain 10 μm thick transverse sections of the AF. Sections were stained with Safranin-O/Fast green and examined at 400x magnification under brightfield and polarized light microscopy. At precise locations of tissue samples, histology images were compared with OCT images to identify corresponding features between imaging modalities.

AF tissue preparation and mechanical shear test combined with OCT imaging

Approximately 1cm × 1cm × 1cm blocks of porcine AF tissue (n = 6) were cut from the anterior region of the IVD for shear tests (Figure 1A). A custom-designed shear testing fixture was combined with a Bose-Electroforce material testing system (Testbench LM-1, Eden Prairie, MN) for shear tests (Figure 1B,C). In order to secure the specimen between the top load and bottom fixed plates, a small amount of Vetbond tissue adhesive (3M, Maplewood, MN) was applied to the two plates. AF samples were hydrated with phosphate buffered saline (PBS) and axially directed displacements of 0.20cm and 0.40cm (corresponding to 0.20 and 0.40 engineering shear strain) were applied to load AF tissues in simple shear, at strain rates of 0.01 and 0.02/s, respectively. We selected this range of tissue shear strain, which is higher than what the AF experiences typically during physiologic loading,36 in order to induce shear-generated ITL matrix damage that was observed in other studies.32 A swept-source (SS) OCT (Thorlabs) was incorporated into the test setup for visualizing tissue deformation and detecting any sliding of tissue along the fixture plate during shear load (Figure 1B).

Figure 1. Experimental setup for this study.

Figure 1

A: AF tissue preparation for OCT imaging. Specimens were cut from the anterior region of lumbar discs with radial and axial dimensions of 7–9mm and a circumferential length of 10–12mm. B: Materials testing system modified with custom fixtures for shear strain application and outfitted with OCT scanner. C: Illustration of the area marked with the dashed line in B. Tissue specimens were affixed to custom fixtures and a circumferentially directed force was applied to induce simple shear deformation. Imaging was performed on the transverse (radial-circumferential) cut face of the tissue.

Image data analysis

An optical flow technique 37 was used for measuring the AF tissue strain field including the ITL network. Our purpose was to establish an objective, systematic, and automated approach to facilitate the computation of strain field. Optical flow (or image velocity) computes 2-D motion from spatiotemporal patterns of image intensity.38 The strain field is subsequently derived as the composition of gradient of optical flow. The reason we chose the optical flow approach is because it features an integrated median filtering step into the classical Horn-Schunck model,39 which assumes similar brightness between images and smooth evolution of the flow field. Previous studies have validated the use of median filtering on raw OCT images,40,41 and we verified that the assumptions of brightness constancy and smoothness were appropriate for our images.

Once the optical field (U(x,y) for the horizontal field and V(x,y) for the vertical field) was estimated, strain was derived as

strain(x,y)=12(dUdy+dVdx+dUdxdUdy+dVdxdVdy)

To validate the technique, en face cross-sectional OCT images of IVD were virtually distorted up to 30% through a known affine transformation. Therefore, the estimated flow field can be compared with the pre-determined field, where 30% indicates the ratio of horizontal shear displacement to the thickness of sample. This technique generated flow fields comparable to the applied 30% virtual shear, a range that sufficiently covers the 10% shear strain intervals that we applied to the AF tissue samples in our real tests.

Elastography using OCT

We sequentially applied 0, 20, and 40% shear strain to IVD. One common optical section of the en face cross-sectional OCT data cube was selected (Figure 2A). Based on distinct ITL and lamellar features, regions of interest (ROI) were selected. We intentionally defined ROI near the center of images (Figure 2B), away from the boundaries of the tissue, in order to avoid edge effects due to tissue incision and/or tissue adhesive application. The optical flow technique was applied to each consecutive pair of images. The field between non-consecutive images can be determined by summing fields of consecutive images (i.e., U14 = U12 + U23 + U34). Briefly, within each ROI, images were segmented to identify areas corresponding to ITL and lamellar compartments (Figure 3A), and displacement vectors were obtained (Figure 3B). Lagrangian shear strains were computed for pixels within each compartment (Figure 3C, D), and values within each compartment were averaged to obtain one data point for each test. Six (n=6) independent tests/measurements were conducted using different tissue specimens from different animals.

Figure 2. Representative OCT images of a tissue specimen before (left) and after (right) undergoing simple shear deformations.

Figure 2

A: Image of the entire tissue sample used for the test. B: Region of interest where strains were calculated. In order to avoid edge effects of both tissue incisions made during specimen preparation and tissue adhesive used to affix tissues to the plate fixtures, ROI were selected to be several millimeters away from the top and bottom plates and radial boundaries, as indicated by the yellow box in A.

Figure 3. Elastographic analysis of OCT images.

Figure 3

A: Superimposed pseudocolored OCT images of ROI before (red) and after (green) application of 20% nominal shear strain. B: These OCT images were used for optical flow analysis to obtain an array of displacement vectors. C: 2-D Lagrangian shear strain intensity map computed using displacement gradients in the image plane. Note the high values of shear strain in the areas corresponding to ITL compartment. D: Surface plot representation of the shear strain data shown in panel C.

Statistical analysis

All data are expressed as the mean ± standard error of the mean (SEM). ITL strains were compared to the surrounding lamellar strain using paired t-tests (SYSTAT 12.0). The level of significance was set at α = 0.05. Results are represented as means ± standard deviations.

RESULTS

Histological verification for OCT translamellar cross-bridge images

Structural features that were identified as translamellar cross-bridges in planar optical slices of the volumetric OCT images of AF specimens (Figure 4A) were then located on Safranin-O/Fast green histologically stained paraffin sections of the same specimens viewed under brightfield (Figure 4B) and polarized light microscopy (Figure 4C). Together with our previous results in ovine IVDs,19 these data indicate that the ability for OCT to visualize the ITL matrix in AF tissues across species.

Figure 4. Verification of OCT image segmentation of the ITL compartment.

Figure 4

A: A transverse optical section (radial-circumferential plane) from the 3-D OCT image volume of the intact tissue specimen. Lamellar matrix, marked by the letters “a” and “b,” is dark on OCT images. Translamellar crossbridges (arrows) and interlamellar matrix (asterisks) have significantly higher intensities. B: The same tissue specimen was marked, processed, paraffin sectioned, and then stained with Safranin-O/Fast green. Light micrograph of the corresponding area in panel A reveals matching features as those found in OCT images, confirming accurate identification of the ITL compartment. C: The same tissue section as in panel B, imaged under polarized light, enhancing contrast of the different layers of annular lamellae. Scale bar = 1000 μm.

OCT elastography during mechanical shear loading

To determine the relative deformations of the lamellar and ITL compartments within AF tissues under mechanical shear loading, 3-D volumetric OCT images were captured before loading and at incremental shear deformations. At 0.20 applied shear, the shear component of the 2-D strain field was of similar value in the ITL matrix (0.220 ± 0.056). However, the shear strain component in the lamellar matrix was significantly lower (0.121 ± 0.023; p=0.028), slightly more than half of that experienced by the ITL matrix. At 0.40 applied shear, the shear strains of both lamellar (0.153 ± 0.021) and ITL compartments (0.311 ± 0.067) remained significantly different from each other (p=0.027), with the lamellar strain roughly half that of the ITL strain. In both compartments, strain did not increase commensurately with the applied strain, indicating a non-linear relationship (Figure 5).

Figure 5. Comparison of average compartmental shear strains.

Figure 5

Average shear strain (n=6) measured in the ITL compartment was significantly higher than that in the lamellar compartment for both 20% (* p=0.028) and 40% (** p=0.027) nominal applied shear strain. Moreover, trends indicate a non-linear relationship between applied nominal shear strain and the local Lagrangian shear strain induced. Data are shown as mean ± SEM.

DISCUSSION

Inhomogeneity in extracellular matrix structure and composition contribute to intricate strain patterns within the AF tissue at all levels of scale (Figure 6). With regard to the macroscale level, both geometric parameters and material properties vary significantly in the radial direction from one lamella to the next, though less so circumferentially along lamellae.42 Within each lamella at the microscale level, it has been shown that motion segment bending induces fibrillar sliding of collagen on the convex side that is in tension,34 resulting in greater relative displacements across collagen fibers than within collagen fibers, similar to that which has been observed in tendons.43,44 At the intermediate mesoscale level, the ITL matrix traverses through and between lamellae,19 but its mechanical function in the AF during tissue loading is still subject to speculation. Previous studies have suggested that the ITL compartment contributes little to AF mechanics in radial tension.23,45,46 Instead, it has been postulated that the ITL may play a greater role in maintaining annular integrity during shear loading,32,33 as supported by the absence of sliding between lamellae due to fibrous interlamellar connectivity.47 At high deformations, however, the ability for interlamellar sliding to occur suggests complexity in the load sharing between the ITL and lamellar matrix. To our knowledge no explicit measurements of the deformations within these compartments have been simultaneously quantified. Elucidation of the internal deformations within the AF is important for understanding how the ITL and lamellar compartments coordinately distribute strain during tissue loading. Our recent work using OCT to visualize the ITL matrix has enabled this current approach to characterize deformations at depths of 1–2mm from the cut surfaces of AF tissues.

Figure 6. Schematic diagram illustrating the complex determinants of local matrix deformation in AF tissue.

Figure 6

The lamellar architecture of the AF imparts macroscale inhomogeneities in matrix strain. At the mesoscale, the distinct properties of the ITL compartment and complex structural network of translamellar crossbridges complicate load distribution. Collagen composition and organization contribute to inhomogeneity at the microscale.

Results from this present study indicate loaded AF tissues experience shear strains in the ITL matrix that are approximately twice those measured within the lamellar matrix. Furthermore, changes in both ITL and lamellar strain decreased with greater applied load. These observed differences are qualitatively consistent with trends we found in a previous study,33 in which a nonlinear constitutive model parameters fit to surface strain measurements yielded a interlamellar shear modulus that was roughly half the lamellar shear modulus, both of which increased with higher applied strain (strain stiffening). However, in contrast to previous studies using lower applied shear strains,47 our averaged ITL and lamellar shear strain was not equal to the applied strain; this could be an indication of matrix damage, likely in the ITL compartment. Our data also corroborates microscale measurements that greater strain is induced between interlamellar cells, relative to lamellar cells, during biaxial testing of bovine AF tissues.44

Although there are currently no validated theories that explicitly relate tissue stress/strain to AF damage, it is possible that the differential ITL and lamellar matrix properties could potentially contribute to what has been observed in disc injury or degeneration. Delamination between annular lamellae, which plays a role in the progression of disc herniation, has been postulated to occur by excessive shear.32,48,49 Likewise, shear has been implicated in the formation and propagation of annular fissures that are hallmarks of disc degeneration.18 If the ITL matrix does play an important functional role, it would suggest that the distribution of translamellar cross-bridges in the AF might correspond with regions of susceptibility to injury. For instance, one could speculate that the presence of translamellar cross-bridges might serve as regions which can better withstand shear deformations, to buffer annular lamellae under large tissue deformations. With smaller cross-bridge densities in the posterior AF,50 the greater shear demands on existing cross-bridges could be one reason for enhanced susceptibility of the posterior AF to injury under various modes of disc loading.5153 Further studies mapping age- and degeneration-related changes in ITL morphology, and investigation of failure mechanisms of the AF tissue would further illuminate this relationship.

The mismatch in properties and function between the ITL and lamellar compartments is also likely to have significant effects on cellular mechanoregulation and, hence, tissue health, given the interdependence between the extracellular matrix and resident cells. Higher shear strain in the ITL could imply enhanced mechanical stimuli. The distinct micromechanical environments could additionally explain morphological differences that have been observed between cells of the ITL and lamellar compartments.30 However, the precise effects of differential shear stimuli on AF cells is not yet known. Alterations in properties of one compartment of the AF could also modify the distribution of strain between the compartments, potentially triggering cell-mediated tissue remodeling and leading to long-term structural changes throughout the AF matrix.

An advantage of using OCT for laser-based imaging is its penetration depth in collagenous tissues, which enabled measurement of in situ deformations of both the ITL and lamellar matrix internal to the AF during loading. Greater imaging depth during elastography helps diminish any effects of structural damage due to incisions made during specimen preparation. Our tissue samples were imaged 1–2mm under the transverse plane of the AF, and we sought to decrease any artifacts further by selecting ROI several millimeters away from the radial and circumferential cut faces. Loading of tissue samples in simple shear by specifying displacements at the radial surfaces is a potential limitation of the experimental approach, because it does not completely represent physiological conditions. Shear deformations in the AF can be induced with annular bulging during IVD compressive loading that results in biaxial tension in the circumferential and axial directions. In situ experimental tests of intact IVDs under various physiologic spinal motions are needed to determine the full implications of differential deformations between ITL and lamellar compartments.

Acknowledgments

National Institute of Health (AR059325) funds were received in support of this work.

Footnotes

No relevant financial activities outside the submitted work.

Level of Evidence: N/A

References

  • 1.DHHS US, editor. Health, United States, 2007. Hyattsville, MD: Center for Disease Control, National Center for Health Statistics; 2007. [Google Scholar]
  • 2.Katz JN. Lumbar disc disorders and low-back pain: socioeconomic factors and consequences. J Bone Joint Surg Am. 2006;88:21–4. doi: 10.2106/JBJS.E.01273. [DOI] [PubMed] [Google Scholar]
  • 3.Parker SL, Xu R, McGirt MJ, et al. Long-term back pain after a single-level discectomy for radiculopathy: incidence and health care cost analysis. J Neurosurg Spine. 2010;12:178–82. doi: 10.3171/2009.9.SPINE09410. [DOI] [PubMed] [Google Scholar]
  • 4.Hsieh AH, Yoon ST. Update on the pathophysiology of degenerative disc disease and new developments in treatment strategies. Open Access J Sports Med. 2010;1:191–9. doi: 10.2147/OAJSM.S9057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Hsieh AH, Twomey JD. Cellular mechanobiology of the intervertebral disc: new directions and approaches. J Biomech. 2010;43:137–45. doi: 10.1016/j.jbiomech.2009.09.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Adams MA, Freeman BJ, Morrison HP, et al. Mechanical initiation of intervertebral disc degeneration. Spine. 2000;25:1625–36. doi: 10.1097/00007632-200007010-00005. [DOI] [PubMed] [Google Scholar]
  • 7.Iatridis JC, Mente PL, Stokes IA, et al. Compression-induced changes in intervertebral disc properties in a rat tail model. Spine. 1999;24:996–1002. doi: 10.1097/00007632-199905150-00013. [DOI] [PubMed] [Google Scholar]
  • 8.Lotz JC, Colliou OK, Chin JR, et al. Compression-induced degeneration of the intervertebral disc: an in vivo mouse model and finite-element study. Spine. 1998;23:2493–506. doi: 10.1097/00007632-199812010-00004. [DOI] [PubMed] [Google Scholar]
  • 9.Neidlinger-Wilke C, Wurtz K, Urban JP, et al. Regulation of gene expression in intervertebral disc cells by low and high hydrostatic pressure. Eur Spine J. 2006;15(Suppl 3):S372–8. doi: 10.1007/s00586-006-0112-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Kasra M, Merryman WD, Loveless KN, et al. Frequency response of pig intervertebral disc cells subjected to dynamic hydrostatic pressure. J Orthop Res. 2006;24:1967–73. doi: 10.1002/jor.20253. [DOI] [PubMed] [Google Scholar]
  • 11.Ching CT, Chow DH, Yao FY, et al. Changes in nuclear composition following cyclic compression of the intervertebral disc in an in vivo rat-tail model. Med Eng Phys. 2004;26:587–94. doi: 10.1016/j.medengphy.2004.03.006. [DOI] [PubMed] [Google Scholar]
  • 12.Walsh AJ, Lotz JC. Biological response of the intervertebral disc to dynamic loading. J Biomech. 2004;37:329–37. doi: 10.1016/s0021-9290(03)00290-2. [DOI] [PubMed] [Google Scholar]
  • 13.Miyamoto H, Doita M, Nishida K, et al. Effects of cyclic mechanical stress on the production of inflammatory agents by nucleus pulposus and anulus fibrosus derived cells in vitro. Spine. 2006;31:4–9. doi: 10.1097/01.brs.0000192682.87267.2a. [DOI] [PubMed] [Google Scholar]
  • 14.Rannou F, Lee TS, Zhou RH, et al. Intervertebral disc degeneration: the role of the mitochondrial pathway in annulus fibrosus cell apoptosis induced by overload. Am J Pathol. 2004;164:915–24. doi: 10.1016/S0002-9440(10)63179-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Hsieh AH, Hwang D, Ryan DA, et al. Degenerative anular changes induced by puncture are associated with insufficiency of disc biomechanical function. Spine. 2009;34:998–1005. doi: 10.1097/BRS.0b013e31819c09c4. [DOI] [PubMed] [Google Scholar]
  • 16.Hsieh AH, Lotz JC. Prolonged spinal loading induces matrix metalloproteinase-2 activation in intervertebral discs. Spine. 2003;28:1781–8. doi: 10.1097/01.BRS.0000083282.82244.F3. [DOI] [PubMed] [Google Scholar]
  • 17.Stefanakis M, Al-Abbasi M, Harding I, et al. Annulus fissures are mechanically and chemically conducive to the ingrowth of nerves and blood vessels. Spine (Phila Pa 1976) 2012;37:1883–91. doi: 10.1097/BRS.0b013e318263ba59. [DOI] [PubMed] [Google Scholar]
  • 18.Stefanakis M, Luo J, Pollintine P, et al. ISSLS Prize winner: Mechanical influences in progressive intervertebral disc degeneration. Spine (Phila Pa 1976) 2014;39:1365–72. doi: 10.1097/BRS.0000000000000389. [DOI] [PubMed] [Google Scholar]
  • 19.Han SK, Chen CW, Wierwille J, et al. Three dimensional mesoscale analysis of translamellar cross-bridge morphologies in the annulus fibrosus using optical coherence tomography. J Orthop Res. 2015;33:304–11. doi: 10.1002/jor.22778. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Schollum ML, Robertson PA, Broom ND. ISSLS prize winner: microstructure and mechanical disruption of the lumbar disc annulus: part I: a microscopic investigation of the translamellar bridging network. Spine (Phila Pa 1976) 2008;33:2702–10. doi: 10.1097/BRS.0b013e31817bb92c. [DOI] [PubMed] [Google Scholar]
  • 21.Schollum ML, Robertson PA, Broom ND. A microstructural investigation of intervertebral disc lamellar connectivity: detailed analysis of the translamellar bridges. J Anat. 2009;214:805–16. doi: 10.1111/j.1469-7580.2009.01076.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Pezowicz CA, Robertson PA, Broom ND. Intralamellar relationships within the collagenous architecture of the annulus fibrosus imaged in its fully hydrated state. J Anat. 2005;207:299–312. doi: 10.1111/j.1469-7580.2005.00467.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Pezowicz CA, Robertson PA, Broom ND. The structural basis of interlamellar cohesion in the intervertebral disc wall. J Anat. 2006;208:317–30. doi: 10.1111/j.1469-7580.2006.00536.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Johnson EF, Caldwell RW, Berryman HE, et al. Elastic fibers in the anulus fibrosus of the dog intervertebral disc. Acta Anat (Basel) 1984;118:238–42. doi: 10.1159/000145851. [DOI] [PubMed] [Google Scholar]
  • 25.Yu J. Elastic tissues of the intervertebral disc. Biochem Soc Trans. 2002;30:848–52. doi: 10.1042/bst0300848. [DOI] [PubMed] [Google Scholar]
  • 26.Yu J, Tirlapur U, Fairbank J, et al. Microfibrils, elastin fibres and collagen fibres in the human intervertebral disc and bovine tail disc. J Anat. 2007;210:460–71. doi: 10.1111/j.1469-7580.2007.00707.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Melrose J, Smith SM, Appleyard RC, et al. Aggrecan, versican and type VI collagen are components of annular translamellar crossbridges in the intervertebral disc. Eur Spine J. 2008;17:314–24. doi: 10.1007/s00586-007-0538-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Cloyd JM, Elliott DM. Elastin content correlates with human disc degeneration in the anulus fibrosus and nucleus pulposus. Spine. 2007;32:1826–31. doi: 10.1097/BRS.0b013e3181132a9d. [DOI] [PubMed] [Google Scholar]
  • 29.Yu J, Fairbank JC, Roberts S, et al. The elastic fiber network of the anulus fibrosus of the normal and scoliotic human intervertebral disc. Spine. 2005;30:1815–20. doi: 10.1097/01.brs.0000173899.97415.5b. [DOI] [PubMed] [Google Scholar]
  • 30.Bruehlmann SB, Rattner JB, Matyas JR, et al. Regional variations in the cellular matrix of the annulus fibrosus of the intervertebral disc. J Anat. 2002;201:159–71. doi: 10.1046/j.1469-7580.2002.00080.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Errington RJ, Puustjarvi K, White IR, et al. Characterisation of cytoplasm-filled processes in cells of the intervertebral disc. J Anat. 1998;192(Pt 3):369–78. doi: 10.1046/j.1469-7580.1998.19230369.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Gregory DE, Veldhuis JH, Horst C, et al. Novel lap test determines the mechanics of delamination between annular lamellae of the intervertebral disc. J Biomech. 2011;44:97–102. doi: 10.1016/j.jbiomech.2010.08.031. [DOI] [PubMed] [Google Scholar]
  • 33.Labus KM, Han SK, Hsieh AH, et al. A computational model to describe the regional interlamellar shear of the annulus fibrosus. J Biomech Eng. 2014;136:051009. doi: 10.1115/1.4027061. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Bruehlmann SB, Matyas JR, Duncan NA. ISSLS prize winner: Collagen fibril sliding governs cell mechanics in the anulus fibrosus: an in situ confocal microscopy study of bovine discs. Spine (Phila Pa 1976) 2004;29:2612–20. doi: 10.1097/01.brs.0000146465.05972.56. [DOI] [PubMed] [Google Scholar]
  • 35.Pezowicz CA, Schechtman H, Robertson PA, et al. Mechanisms of anular failure resulting from excessive intradiscal pressure: a microstructural-micromechanical investigation. Spine (Phila Pa 1976) 2006;31:2891–903. doi: 10.1097/01.brs.0000248412.82700.8b. [DOI] [PubMed] [Google Scholar]
  • 36.Iatridis JC, ap Gwynn I. Mechanisms for mechanical damage in the intervertebral disc annulus fibrosus. J Biomech. 2004;37:1165–75. doi: 10.1016/j.jbiomech.2003.12.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Sun D, Roth SR, Black JM. Secrets of optical flow estimation and their principles. Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on: IEEE; 2010. [Google Scholar]
  • 38.Barron JL, Fleet DJ, Beauchemin SS. Performance of Optical-Flow Techniques. International Journal of Computer Vision. 1994;12:43–77. [Google Scholar]
  • 39.Horn BKP, Schunck BG. Determining Optical-Flow. Artificial Intelligence. 1981;17:185–203. [Google Scholar]
  • 40.Ozcan A, Bilenca A, Desjardins AE, et al. Speckle reduction in optical coherence tomography images using digital filtering. Journal of the Optical Society of America a-Optics Image Science and Vision. 2007;24:1901–10. doi: 10.1364/josaa.24.001901. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Rogowska J, Brezinski ME. Evaluation of the adaptive speckle suppression filter for coronary optical coherence tomography imaging. Ieee Transactions on Medical Imaging. 2000;19:1261–6. doi: 10.1109/42.897820. [DOI] [PubMed] [Google Scholar]
  • 42.Holzapfel GA, Schulze-Bauer CA, Feigl G, et al. Single lamellar mechanics of the human lumbar anulus fibrosus. Biomech Model Mechanobiol. 2005;3:125–40. doi: 10.1007/s10237-004-0053-8. [DOI] [PubMed] [Google Scholar]
  • 43.Screen HR, Lee DA, Bader DL, et al. An investigation into the effects of the hierarchical structure of tendon fascicles on micromechanical properties. Proc Inst Mech Eng [H] 2004;218:109–19. doi: 10.1243/095441104322984004. [DOI] [PubMed] [Google Scholar]
  • 44.Bruehlmann SB, Hulme PA, Duncan NA. In situ intercellular mechanics of the bovine outer annulus fibrosus subjected to biaxial strains. J Biomech. 2004;37:223–31. doi: 10.1016/s0021-9290(03)00244-6. [DOI] [PubMed] [Google Scholar]
  • 45.Elliott DM, Setton LA. Anisotropic and inhomogeneous tensile behavior of the human anulus fibrosus: experimental measurement and material model predictions. J Biomech Eng. 2001;123:256–63. doi: 10.1115/1.1374202. [DOI] [PubMed] [Google Scholar]
  • 46.Fujita Y, Duncan NA, Lotz JC. Radial tensile properties of the lumbar annulus fibrosus are site and degeneration dependent. Journal of Orthopaedic Research. 1997;15:814–9. doi: 10.1002/jor.1100150605. [DOI] [PubMed] [Google Scholar]
  • 47.Michalek AJ, Buckley MR, Bonassar LJ, et al. Measurement of local strains in intervertebral disc anulus fibrosus tissue under dynamic shear: contributions of matrix fiber orientation and elastin content. J Biomech. 2009;42:2279–85. doi: 10.1016/j.jbiomech.2009.06.047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Goel VK, Monroe BT, Gilbertson LG, et al. Interlaminar shear stresses and laminae separation in a disc. Finite element analysis of the L3–L4 motion segment subjected to axial compressive loads. Spine (Phila Pa 1976) 1995;20:689–98. [PubMed] [Google Scholar]
  • 49.Tampier C, Drake JD, Callaghan JP, et al. Progressive disc herniation: an investigation of the mechanism using radiologic, histochemical, and microscopic dissection techniques on a porcine model. Spine (Phila Pa 1976) 2007;32:2869–74. doi: 10.1097/BRS.0b013e31815b64f5. [DOI] [PubMed] [Google Scholar]
  • 50.Smith LJ, Elliott DM. Formation of lamellar cross bridges in the annulus fibrosus of the intervertebral disc is a consequence of vascular regression. Matrix Biol. 2011;30:267–74. doi: 10.1016/j.matbio.2011.03.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Veres SP, Robertson PA, Broom ND. ISSLS prize winner: microstructure and mechanical disruption of the lumbar disc annulus: part II: how the annulus fails under hydrostatic pressure. Spine (Phila Pa 1976) 2008;33:2711–20. doi: 10.1097/BRS.0b013e31817bb906. [DOI] [PubMed] [Google Scholar]
  • 52.Veres SP, Robertson PA, Broom ND. ISSLS prize winner: how loading rate influences disc failure mechanics: a microstructural assessment of internal disruption. Spine (Phila Pa 1976) 2010;35:1897–908. doi: 10.1097/BRS.0b013e3181d9b69e. [DOI] [PubMed] [Google Scholar]
  • 53.Vernon-Roberts B, Moore RJ, Fraser RD. The natural history of age-related disc degeneration: the pathology and sequelae of tears. Spine (Phila Pa 1976) 2007;32:2797–804. doi: 10.1097/BRS.0b013e31815b64d2. [DOI] [PubMed] [Google Scholar]

RESOURCES