Abstract
Purpose:
Articular cartilage is known to be mechanically anisotropic. In this paper, the acoustic anisotropy of bovine articular cartilage and the effects of freeze-thaw cycling on acoustic anisotropy were investigated.
Methods:
We developed apparatus and methods that use a magnetic L-shaped sample holder, which allowed minimal handling of a tissue, reduced the number of measurements compared to previous studies, and produced highly reproducible results.
Results:
SOS was greater in the direction perpendicular to the articular surface compared to the direction parallel to the articular surface (N=17, P = 0.00001). Average SOS was 1,758 ± 107 m/s perpendicular to the surface, and 1,617 ± 55 m/s parallel to it. The average percentage difference in SOS between the perpendicular and parallel directions was 8.2% (95% CI: 5.4% to 11%). Freeze-thaw cycling did not have a significant effect on SOS (P>0.4).
Conclusion:
Acoustic measurement of tissue properties is particularly attractive for work in our laboratory since it has the potential for nondestructive characterization of the properties of developing engineered cartilage. Our approach allowed us to observe acoustic anisotropy of articular cartilage rapidly and reproducibly. This property was not significantly affected by freeze-thawing of the tissue samples, making cryopreservation practical for these assays.
Keywords: Ultrasound, Anisotropy, cartilage, freeze-thaw, nondestructive testing, speed of sound
1. Introduction
Articular cartilage (AC) tissue is thin, typically 1 – 3 mm, and possesses a complex stratified structure that give rise to unique mechanical behaviors. These allow it to withstand the forces linked to body weight and joint activity [1–3]. Despite an uninteresting macroscopic appearance, AC is structurally inhomogeneous, and is known to exhibit non-linear anisotropic mechanical properties both in tension and compression [4–9]. This complex mechanical structure has been shown to control fluid flow in the tissue, and to regulate the metabolic activity of chondrocytes and the anabolic/catabolic state of the tissue [10].
Importantly, although numerous previous studies have measured the mechanical behavior of AC [11,10,12–17], the methods used in these studies are intrusive and destructive. For many investigations involving live tissue or in vivo evaluations, it would be useful to develop noncontact, nondestructive methods for measuring tissue properties. In particular, we predict that this will become important as efforts to generate tissue-engineered cartilage for repairing defects in AC evolve. Cartilage tissue engineering (TE) typically involves seeding a scaffold with cells (chondrocytes or stem cells) and the growing the resulting construct in a bioreactor. Thus far, however, stable, long-term repair of AC lesions with engineered cartilage has remained elusive. TE can yield constructs with chemical ECM compositions that approximate AC, however, they do not generally provide the structure and mechanical organization that characterize native cartilage [18]. Several groups have suggested that recapitulating the properties of AC will be required for success [19–23]. In particular, failure to restore the depth-dependent structural anisotropy of the ECM in engineered AC likely contributes to the failure of implanted engineered cartilage [24].
We have been pursuing methods for high-throughput evaluation of engineered cartilage destined for implantation, and suggest that mechanical release criteria for engineered cartilage should include an assessment of anisotropy as a metric for determining the similarity of tissue-engineered cartilage to native tissue [25,13,26]. Ultrasound allows for non-invasive/non-destructive evaluation of tissue morphology and defect detection, and it has been used to assess mechanical properties of the tissue [27–32]. Patil et al. previously demonstrated anisotropy in the speed of sound measured through bovine AC in directions tangential (parallel) and normal (perpendicular) to the articular surface [33]. In this paper, we demonstrate a simple apparatus and method, which will allow high-throughput screening of normal and TE cartilage specimens. A particular advantage of our approach is the use of custom-designed specimen holders, which allow rapid measurement of SOS in orthogonal directions on the same tissue specimen. Moreover, we investigated freeze/thaw cycling to see whether it affected the anisotropy and hence mechanical properties of native articular cartilage
2. Materials and Methods
2.1. Test sample preparation
Knees from two normal bovine calves were obtained from a local butcher shop (Fig. 1). Osteochondral cylinders (Samples 1–9 from animal #1 and samples 10–17 from animal #2) were cut from the condyles using a 6-mm diameter coring tool under continuous irrigation with phosphate-buffered saline (PBS). The cylinders were then cut across their diameter using a razor blade and frozen at −20 °C until use. For testing, the samples were thawed at room temperature in PBS for 30 minutes prior to the test [34]. Using a razor blade, the bone layer was carefully removed from the cartilage, and a 1–2 mm wide strip of cartilage was then cut perpendicular to the articular surface (parallel to the diameter cut). Surfaces were kept as parallel and perpendicular to each other as reasonably possible. This resulted in a full-thickness strip of cartilage about 6 mm long (Fig. 1), with orthogonal faces tangential (parallel) and normal (perpendicular) to the articular surface. Similar to Jurvelin et al., the orientation of the strip was not controlled with respect to split lines [35]. The samples were kept moist with PBS during the entire preparation process.
Fig. 1.

Tissue sample preparation: Bovine osteochondral samples were cored using a 6 mm diameter diamond coring tool. The cylinders were then cut across their diameter to make semi-cylinders. Finally, the adherent bone was removed resulting in a strip of cartilage with two orthogonal faces tangential and normal to the articular surface
2.2. Sample holder
L-shaped sample holders were machined from magnetic stainless steel (416 Alloy, McMaster-Carr, Cleveland, OH, Fig. 2A&B). The two flat polished orthogonal inside surfaces of the holder also serve as ultrasound reflectors. The cartilage strip was placed lengthwise in the inside angle of the sample holder (Fig. 2C), then the ends were glued to the holder (cyanoacrylate, Loctite 4011, McMaster-Carr, Cleveland, OH, Fig. 2D), leaving a glue-free testing region while holding the sample tightly against the holder’s orthogonal faces. To distinguish directions during the test, the sample and the holder side-wall were marked with ink to identify the articular surface (Fig. 2D).
Fig. 2.

Sample holder design. A) Two dimensional CAD drawing of the L-shaped sample holder. B) A 3D representation of the sample holder. Dimensions are in millimeters. C) Front view of finished device with cartilage sample glued on the edges to the holder. D) Side view of the sample. Articular surface is marked in blue. Ruler indices are 500 μm apart
All samples were photographed in two orthogonal directions using a stereomicroscope (EZ4W, Leica Microsystems, Buffalo Grove, IL, Fig. 2C&D) and the thickness in each direction were measured using imageJ [36].
2.3. Testing device
This L shaped holder and cartilage sample assembly was then placed in the ultrasound testing device (Fig. 3). This is a variant of the device we have reported previously [37,38], modified to include rare-earth magnets for positioning and securing the assembly in the ultrasound device. This system allows the assembly to be repositioned so that SOS measurements can easily be made in either of two perpendicular directions. The US testing device is also equipped with an X-Y stage (Edmund Optics Inc., Barrington, NJ) to position the transducer with respect to the sample (Fig. 3). This allowed us to record echoes from the metal sample holder and the cartilage surfaces by moving the US transducer. Another positioning stage (M4004-DM, Parker, Cleveland, OH) was used to position the sample holder in the Z direction (Fig. 3).
Fig. 3.

Ultrasound rig incorporating a magnetic sample holder and a focused ultrasound transducer
Non-contact ultrasound evaluation of the samples was performed using a focused transducer (Olympus, 30 MHz, model V375-SU, nominal 19 mm focal length, beam width 150 μm, Fig. 3). Focal length and depth of field (4 mm) were confirmed experimentally for this transducer, using ASTM E1065/E1065M [39]. A pulser-receiver operating in transmit/receive mode provided excitation and received reflections from the sample (DPR500, JSR Ultrasonics, Imaginant, Pittsford, NY). Pulser-receiver parameters were: transmit/receive, gain: 0 dB, low pass filter: 300 MHz, high pass filter: 5 MHz, pulse repeat frequency: 200 Hz, excitation: 275V, and damping: 44Ω. Signals were sampled at 5 Gs/s using a digital oscilloscope (Keysight MSOX3054T).
2.4. Procedure
In all cases, round trip time of flight (TOF) between the US transducer and a surface of interest were measured using the oscilloscope cursors.
The holder and sample were first placed, submerged in PBS, at the focal distance of the transducer (~19mm), but outside of the US transducer beam, then, by using the X-Y stage, the US transducer was moved laterally until the metal surface of the holder was detected (Fig. 4 – T4).
Fig. 4.

TOF measurements, implementing similar method used in previous studies. [33,30] Panel A: T1 time from front face of transducer to top surface of cartilage. T2 time to bottom surface of cartilage. Panel B: determination of SOS through PBS T3 time to holder through PBS. T4, time to holder after displacing the sample holder by 2 mm (Green Arrow). a, b, and c: planes of the transducer face, and the front and back of the cartilage sample, respectively
We then identified the sample edges and centered the US beam on the width of the cartilage sample. Z-position was fine adjusted to maximize the amplitude of the first reflection off the cartilage. At this position, two echoes, one from the surface of the cartilage (Fig. 4 – T1), the other from the surface of the metal holder after passing through the cartilage strip (Fig. 4 – T2) were recorded. Fig. 5 shows an example of the reflected signal from the front and back surfaces of the cartilage sample (red line) and from the surface of the metal holder without cartilage.
Fig. 5.

Example of the reflected signal waveform from the front (A) and back (B) surfaces of the cartilage sample (red line, corresponds to positions b and c in Fig. 4) and from the surface of the metal holder without cartilage (black line). Note leftward shift in red signal trace from the back of the sample/metal holder owing to the higher SOS in cartilage compared to PBS.
After these measurements, the sample holder and sample were rotated 90 degrees, and the procedure was repeated to measure the same TOFs in this direction.
To compute the SOS in cartilage, the SOS in PBS (CPBS) was needed. We did this by first measuring the time T4, which is the TOF of the echo from the back of the sample holder. The holder was then displaced 2 mm down and the time T3 was measured.
| (1) |
The thickness of a sample Dbc was then found from
| (2) |
Using equations 1 and 2, the SOS in a sample CS is then
| (3) |
Note that it is not actually necessary to compute the thickness to get the SOS in AC.
2.5. Freeze-thaw experiments
Because freeze-thaw cycling of the cartilage has been shown to alter some mechanical properties of AC, we subjected a subset of the samples (N=9) to 10 freeze-thaw cycles to see if changes in acoustic anisotropy could be detected. The freezing was done with the tissue mounted on the holder, alternating between LN2 for 30 seconds and RT PBS for 90 seconds repeated 10 times. After this, the measurement described above were repeated.
2.6. Statistical analysis:
Comparisons of SOS in normal versus tangential directions were made using Wilcoxon signed rank tests for paired data. The percent difference between SOS in X = normal and Y = tangential directions was calculated for each sample as 100*(X-Y)/(mean(X,Y)) and a 95% confidence interval for the mean percent difference was calculated. Thickness measurements obtained from stereomicroscope and ultrasound were also compared to those measured using US using the Wilcoxon signed rank tests.
3. Results
The speed of sound in PBS was measured in each test (Table 1), and was used in the calculation for SOS and thickness for each sample. Lab temperature was maintained at 21 ± 1.5° C across experiments, however within each sample, all measurements were completed in a 30 minute period during which the temperature remained constant. In each of the samples, SOS was greater (average 1,758.3 ± 106.7 m/s) in the direction perpendicular to the articular surface compared to the direction parallel to the articular surface (average 1,617 ± 55.1 m/s P = 0.00001, Wilcoxon signed rank test, Table 1). The average percentage difference in SOS between the normal and tangential directions was 8.2% (95% CI: 5.4% to 11%).
Table 1:
Anisotropy test results. C1 and C2 are SOS normal and tangential to the articular surface, respectively.
| Sample # | C1 (m/s) | C2 (m/s) | PBS SOS (m/s) |
|---|---|---|---|
| 1 | 1774.35 | 1754.44 | 1504.43 |
| 2 | 1883.40 | 1606.00 | 1514.39 |
| 3 | 1818.00 | 1568.80 | 1498.12 |
| 4 | 1939.01 | 1656.40 | 1498.12 |
| 5 | 1731.50 | 1576.06 | 1514.39 |
| 6 | 1673.23 | 1641.23 | 1513.43 |
| 7 | 1954.19 | 1632.42 | 1520.51 |
| 8 | 1903.03 | 1681.81 | 1522.43 |
| 9 | 1687.40 | 1656.00 | 1528 |
| 10 | 1722.00 | 1591.00 | 1525 |
| 11 | 1633.60 | 1608.80 | 1506 |
| 12 | 1793.80 | 1572.70 | 1495 |
| 13 | 1655.70 | 1518.50 | 1497.20 |
| 14 | 1626.02 | 1588.03 | 1491.19 |
| 15 | 1723.10 | 1590.4 | 1512.6 |
| 16 | 1686.10 | 1582.4 | 1499.9 |
| 17 | 1686.17 | 1664.86 | 1491.42 |
| Mean ± SD | 1758.27 ± 106.72 | 1617.05 ± 55.09 | 1507.78 ± 12 |
Ultrasound-computed thicknesses were within 4.9% of optical thickness measurements using a stereomicroscope with no statistically significant difference found (N=8, sign test p=0.28, and signed ranked test p=0.10).
For the subset of 9 samples which were subjected to freeze-thaw cycles, we observed small changes in SOS and thickness of the samples before and after the process. Specifically, the thickness changes before and after the freeze-thaw cycling were −5.4% normal to the articular surface, and 4.5% tangential to it.
SOS changes before and after freeze-thaw cycling were not statistically significant in both directions (Pnormal = 0.73, Ptangential = 0.43). However, the cycling affected the thickness differently. As such, the thickness significantly changed in the direction, parallel to the articular surface (P = 0.008), while the thickness variations remained insignificant normal to the articular surface (P = 0.054). Consistent with this result, the SOS perpendicular to the AC surface was still greater than and significantly different from that parallel to the surface after ten freeze-thaw cycles (P = 0.008). Results are summarized in Table 2.
Table 2:
SOS in cartilage in 2 orthogonal directions (C1 normal to articular surface and C2 tangential to articular surface) before and after 10 freeze-thaw cycles
| Sample # | C1 before (m/s) | C1 after (m/s) | C2 before (m/s) | C2 after (m/s) |
|---|---|---|---|---|
| 9 | 1687.4 | 1758 | 1656 | 1613 |
| 10 | 1722 | 1669 | 1591 | 1589 |
| 11 | 1633.6 | 1634.3 | 1608.8 | 1603.8 |
| 12 | 1793.8 | 1688.4 | 1572.7 | 1579.4 |
| 13 | 1655.7 | 1688.8 | 1518.5 | 1505.5 |
| 14 | 1626.02 | 1678.8 | 1588.03 | 1591.1 |
| 15 | 1723.1 | 1737.9 | 1590.4 | 1667.2 |
| 16 | 1686.1 | 1647.9 | 1582.4 | 1648.1 |
| 17 | 1686.17 | 1765.2 | 1664.86 | 1711.1 |
| Mean ± SD | 1690.43 ± 51.69 | 1696.48 ± 46.96 | 1596.97 ± 43.8 | 1612.02 ± 58.75 |
4. Discussion
Failure to recapitulate the structural anisotropy of native cartilage may be a contributing factor in the failures of engineered cartilage [24]. This investigation is part of a series of studies [27,40,37,29] to implement non-destructive evaluation of the mechanical properties of cartilage using ultrasound. In this investigation, we sought to develop and validate a rapid technique for assessing the anisotropy of acoustic properties of cartilage using normal native bovine tissue. The goal is to then use this anisotropy as a high-throughput metric for assessing the progression of maturing engineered tissue toward the properties of native AC.
Ultrasound techniques have been demonstrated for noninvasive evaluation of tissue morphology and elastography and for biomechanical assessment [29,30,41–45]. It is known that mechanical and acoustic properties of tissues are not entirely independent: for a plane wave, SOS is a function of a material’s modulus and density [46]. Walker et al. showed a positive correlation between the aggregate modulus (H) derived from ultrasound measurements and Young’s modulus (E) derived from a one-dimensional, mechanical, unconfined compression test in hydrogels [37,40].
For this study, we developed a simple experimental apparatus and method for measuring SOS. Key goals were to simplify and accelerate the test as a screening tool, and to establish values for the SOS in normal AC to be targeted for engineered tissues. The approach we developed, including the L-shaped sample holder (Fig. 2A&B) allowed us to minimize handling of the tissue, and, by simply turning the L-shaped holder 90 degrees (Fig. 2) the SOS could easily be measured in two orthogonal directions on the same tissue sample.
In all cases in this study, the SOS was significantly higher in the direction normal to the articular surface than tangential to the articular surface (Table 1). These results are consistent with those found by Patil et al. [33]. Based on our and others’ SOS measurements, and linear models for wave propagation in solids, it would seem reasonable to conclude that the modulus of AC should be higher in the direction normal to the articular surface than tangential to the surface. However, mechanical measurements of aggregate modulus would appear to contradict this conclusion [35]. Nevertheless, direct comparisons between bulk mechanical properties and those implied from US may be possible. It should be noted that, where Jurvelin’s measurements are averaged over cylinders that were 1.7 mm in diameter and 1 mm thick, our measurements are at a 150 μm region near the center of the thickness. It is known that, in AC, Young’s modulus increases as a function of depth from the surface [47–51]. Poisson’s ratio, on the other hand peaks in the middle region in bovine AC [48]. Similarly, there are indications that tissue density varies rapidly as a function of depth [52]. Taken together, these findings suggest that there is not a simple relationship between acoustic and mechanical anisotropy, and factors such as structure may need to be incorporated into models that relate acoustic and mechanical properties of AC.
In the approach employed by Patil et al. SOS was measured in sublayers cut parallel to the articular surface, not in full thickness samples as done in this investigation. While evaluating the SOS in sublayers can demonstrate depth-dependent acoustic properties, a consequence of slicing the tissue is that these properties tangential to the surface are measured on separate samples from those used to measure the normal properties. As a screening tool, measuring the SOS in two orthogonal directions on the same sample at the same cross section has advantages, notably that less material is required and less preparation time is involved. Further, in our system, two of the tissue sample’s surfaces were in direct contact with the L-shaped holder; thus, there was no acoustic path between the sample and reflector. This resulted in one less TOF measurement than required in the approach used by Patil.
Cartilage can be stored briefly at 4°C [53], but cryostorage of tissues may be used to preserve them for subsequent implantation, or simply for logistical reasons when working with large numbers of samples. It seems plausible that freezing affects the properties of cartilage, and a number of studies have addressed its effects on, e.g., biomechanical, dimensional, electromechanical, MRI properties. Previous studies of freezing of cartilage have produced results that are inconsistent [54] and vary from “no change” [55–59] to “detectable changes” [60,61,54,62,63] depending on the properties measured, with a variety of freezing/thawing and cryostorage protocols likely contributing to the variable outcome. To determine whether acoustic properties were altered by freeze-thawing, we subjected a subset of our samples to a set of ten freeze-thaw cycles in LN2. In our study (N=9), there does not appear to be a significant change in SOS before and after 10 freeze-thaw cycles in either direction. Further, the measured SOS were within the range measured in other studies [64,33]. Thus, temporary frozen storage does not appear to affect cartilage acoustic parameters; as a result, samples could be mounted on the holders and stored for subsequent measurements.
5. Limitations
Limitations of the approach are as follows.
Since the surface of the cartilage strip may not be flat, it is, therefore, sometimes necessary to scan to find a good surface for analysis
We believe it is important to ensure that the tissue is in intimate contact with reflector. If there were two signals, suggesting a gap between the sample and the holder, the sample removed andre-attached to the sample holder.
Although thicknesses might not have been measured at the exact same location using US and microscopy overall, a comparison of the acoustic and optical thickness measurements did not reveal any significant differences.
The orientation of the strip of cartilage was not controlled with respect to split lines [35].
Similar to other studies, we removed the cartilage from its subchondral bone which can cause swelling and curling deformation in AC samples [65,66]. This affects the structure of cartilage and may require further study in the future.
6. Conclusions
A rapid method for measuring SOS in two orthogonal directions was developed. A key component is an L shaped sample holder, which allowed us to have a fast test procedure and repeatable results. Fewer measurements were required than suggested by previous studies, which reduces sample preparation time and the stacking of experimental error and resulted in a simple and rapid assessment of tissue anisotropy. Using this high-throughput approach, anisotropy of SOS in cartilage was found to be qualitatively the same as in previous work and to be largely unaffected by freeze-thawing of the tissue.
Acknowledgements
This work was supported by the National Institute of Biomedical Imaging and Bioengineering under award number P41 EB021911. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Dr. Motavalli was supported by funds from the Office of Research and Technology, and the Deans of the College of Arts and Sciences, the School of Engineering and the School of Medicine at Case Western Reserve University. The authors declare that no competing financial interests exist.
Footnotes
Publisher's Disclaimer: This Author Accepted Manuscript is a PDF file of an unedited peer-reviewed manuscript that has been accepted for publication but has not been copyedited or corrected. The official version of record that is published in the journal is kept up to date and so may therefore differ from this version.
References
- 1.Mow VC, & Guo XE (2002). Mechano-electrochemical properties of articular cartilage: their inhomogeneities and anisotropies. Annual Review of Biomedical Engineering, 4, 175–209, doi: 10.1146/annurev.bioeng.4.110701.120309. [DOI] [PubMed] [Google Scholar]
- 2.Wong BL, & Sah RL (2010). Mechanical asymmetry during articulation of tibial and femoral cartilages: local and overall compressive and shear deformation and properties. Journal of Biomechanics, 43(9), 1689–1695, doi: 10.1016/j.jbiomech.2010.02.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Motaung S, Chan S, & Reddi A (2009). Morphogens, membranes and mechanotransduction in articular cartilage. In Biomembrane Frontiers: Nanostructures, Models, and the Design of Life (pp. 263–273, Handbook of Modern Biophysics). [Google Scholar]
- 4.Farquhar T, Dawson PR, & Torzilli PA (1990). A microstructural model for the anisotropic drained stiffness of articular cartilage. Journal of Biomechanical Engineering, 112(4), 414–425. [DOI] [PubMed] [Google Scholar]
- 5.Chahine NO, Wang CC, Hung CT, & Ateshian GA (2004). Anisotropic strain-dependent material properties of bovine articular cartilage in the transitional range from tension to compression. Journal of Biomechanics, 37(8), 1251–1261, doi: 10.1016/j.jbiomech.2003.12.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Huang CY, Stankiewicz A, Ateshian GA, & Mow VC (2005). Anisotropy, inhomogeneity, and tension-compression nonlinearity of human glenohumeral cartilage in finite deformation. Journal of Biomechanics, 38(4), 799–809, doi: 10.1016/j.jbiomech.2004.05.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Akizuki S, Mow VC, Muller F, Pita JC, & Howell DS (1987). Tensile properties of human knee joint cartilage. II. Correlations between weight bearing and tissue pathology and the kinetics of swelling. Journal of Orthopaedic Research, 5(2), 173–186, doi: 10.1002/jor.1100050204. [DOI] [PubMed] [Google Scholar]
- 8.Woo SL, Lubock P, Gomez MA, Jemmott GF, Kuei SC, & Akeson WH (1979). Large deformation nonhomogeneous and directional properties of articular cartilage in uniaxial tension. Journal of Biomechanics, 12(6), 437–446. [DOI] [PubMed] [Google Scholar]
- 9.Broom ND (1984). Further insights into the structural principles governing the function of articular cartilage. Journal of Anatomy, 139 ( Pt 2), 275–294. [PMC free article] [PubMed] [Google Scholar]
- 10.McLeod MA, Wilusz RE, & Guilak F (2013). Depth-dependent anisotropy of the micromechanical properties of the extracellular and pericellular matrices of articular cartilage evaluated via atomic force microscopy. Journal of Biomechanics, 46(3), 586–592, doi: 10.1016/j.jbiomech.2012.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Roth V, & Mow VC (1980). The intrinsic tensile behavior of the matrix of bovine articular cartilage and its variation with age. Journal of Bone and Joint Surgery (American), 62(7), 1102–1117. [PubMed] [Google Scholar]
- 12.Motavalli M, Akkus O, & Mansour JM (2014). Depth-dependent shear behavior of bovine articular cartilage: relationship to structure. Journal of Anatomy, 225(5), 519–526, doi: 10.1111/joa.12230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Motavalli M, Whitney GA, Dennis JE, & Mansour JM (2013). Investigating a continuous shear strain function for depth-dependent properties of native and tissue engineering cartilage using pixelsize data. J Mech Behav Biomed Mater, 28, 62–70, doi: 10.1016/j.jmbbm.2013.07.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Buckley MR, Bergou AJ, Fouchard J, Bonassar LJ, & Cohen I (2010). High-resolution spatialmapping of shear properties in cartilage. Journal of Biomechanics, 43(4), 796–800, doi: 10.1016/j.jbiomech.2009.10.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Canal CE, Hung CT, & Ateshian GA (2008). Two-dimensional strain fields on the cross-section of the bovine humeral head under contact loading. Journal of Biomechanics, 41(15), 3145–3151, doi: 10.1016/j.jbiomech.2008.08.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Flachsmann R, Broom ND, & Hardy AE (2001). Deformation and rupture of the articular surface under dynamic and static compression. Journal of Orthopaedic Research, 19(6), 1131–1139, doi: 10.1016/S0736-0266(01)00049-3. [DOI] [PubMed] [Google Scholar]
- 17.Buckley MR, Bonassar LJ, & Cohen I (2013). Localization of viscous behavior and shear energy dissipation in articular cartilage under dynamic shear loading. Journal of Biomechanical Engineering, 135(3), 31002, doi: 10.1115/1.4007454. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Chou CL, Rivera AL, Williams V, Welter JF, Mansour JM, Drazba JA, et al. (2017). Micrometer scale guidance of mesenchymal stem cells to form structurally oriented large-scale tissue engineered cartilage. Acta Biomaterialia, 60, 210–219, doi: 10.1016/j.actbio.2017.07.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Owen JR, & Wayne JS (2006). Influence of a superficial tangential zone over repairing cartilage defects: implications for tissue engineering. Biomech Model Mechanobiol, 5(2–3), 102–110, doi: 10.1007/s10237-006-0022-5. [DOI] [PubMed] [Google Scholar]
- 20.Moutos FT, Freed LE, & Guilak F (2007). A biomimetic three-dimensional woven composite scaffold for functional tissue engineering of cartilage. Nat Mater, 6(2), 162–167, doi: 10.1038/nmat1822. [DOI] [PubMed] [Google Scholar]
- 21.Kim IL, Mauck RL, & Burdick JA (2011). Hydrogel design for cartilage tissue engineering: a case study with hyaluronic acid. Biomaterials, 32(34), 8771–8782, doi: 10.1016/j.biomaterials.2011.08.073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Ahearne M, & Kelly DJ (2013). A comparison of fibrin, agarose and gellan gum hydrogels as carriers of stem cells and growth factor delivery microspheres for cartilage regeneration. Biomed Mater, 8(3), 035004, doi: 10.1088/1748-6041/8/3/035004. [DOI] [PubMed] [Google Scholar]
- 23.Nguyen QT, Hwang Y, Chen AC, Varghese S, & Sah RL (2012). Cartilage-like mechanical properties of poly (ethylene glycol)-diacrylate hydrogels. Biomaterials, 33(28), 6682–6690, doi: 10.1016/j.biomaterials.2012.06.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Khan IM, Gilbert SJ, Singhrao SK, Duance VC, & Archer CW (2008). Cartilage integration: evaluation of the reasons for failure of integration during cartilage repair. A review. Eur Cell Mater, 16, 26–39. [DOI] [PubMed] [Google Scholar]
- 25.Whitney G, Jayaraman K, Dennis J, & Mansour J (2014). Scaffold-free cartilage subjected to frictional shear stress demonstrates damage by cracking and surface peeling. Journal of Tissue Engineering and Regenerative Medicine, 11(2), 412–424. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Motavalli M, Whitney G, Dennis J, & Mansour J Mechanical behavior and failure of scaffold free tissue engineered cartilage. In BMES Annual Meeting, Hartford, 2011 [Google Scholar]
- 27.Mansour JM, Motavalli M, Dennis JE, Kean TJ, Caplan AI, Berilla JA, et al. (2018). Rapid Detection of Shear-Induced Damage in Tissue-Engineered Cartilage Using Ultrasound. Tissue Eng Part C Methods, 24(8), 443–456, doi: 10.1089/ten.TEC.2017.0513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Töyräs J, Lyyra-Laitinen T, Niinimäki M, Lindgren R, Nieminen MT, Kiviranta I, et al. (2001). Estimation of the Young’s modulus of articular cartilage using an arthroscopic indentation instrument and ultrasonic measurement of tissue thickness. Journal of Biomechanics, 34(2), 251–256. [DOI] [PubMed] [Google Scholar]
- 29.Chung CY, Heebner J, Baskaran H, Welter JF, & Mansour JM (2015). Ultrasound Elastography for Estimation of Regional Strain of Multilayered Hydrogels and Tissue-Engineered Cartilage. Annals of Biomedical Engineering, 43(12), 2991–3003, doi: 10.1007/s10439-015-1356-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Mansour JM, Lee Z, & Welter JF (2016). Nondestructive Techniques to Evaluate the Characteristics and Development of Engineered Cartilage. Annals of Biomedical Engineering, 44(3), 733–749, doi: 10.1007/s10439-015-1535-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Saarakkala S, Korhonen RK, Laasanen MS, Töyräs J, Rieppo J, & Jurvelin JS (2004). Mechano-acoustic determination of Young’s modulus of articular cartilage. Biorheology, 41(3–4), 167–179. [PubMed] [Google Scholar]
- 32.Töyräs J, Nieminen HJ, Laasanen MS, Nieminen MT, Korhonen RK, Rieppo J, et al. (2002). Ultrasonic characterization of articular cartilage. Biorheology, 39(1–2), 161–169. [PubMed] [Google Scholar]
- 33.Patil SG, Zheng YP, Wu JY, & Shi J (2004). Measurement of depth-dependence and anisotropy of ultrasound speed of bovine articular cartilage in vitro. Ultrasound in Medicine and Biology, 30(7), 953–963, doi: 10.1016/j.ultrasmedbio.2004.04.009. [DOI] [PubMed] [Google Scholar]
- 34.Changoor A, Fereydoonzad L, Yaroshinsky A, & Buschmann MD (2010). Effects of refrigeration and freezing on the electromechanical and biomechanical properties of articular cartilage. Journal of Biomechanical Engineering, 132(6), 064502, doi: 10.1115/1.4000991. [DOI] [PubMed] [Google Scholar]
- 35.Jurvelin JS, Buschmann MD, & Hunziker EB (2003). Mechanical anisotropy of the human knee articular cartilage in compression. Proceedings of the Institution of Mechanical Engineers. Part H: Journal of Engineering in Medicine, 217(3), 215–219. [DOI] [PubMed] [Google Scholar]
- 36.Schneider CA, Rasband WS, & Eliceiri KW (2012). NIH Image to ImageJ: 25 years of image analysis. Nature Methods, 9(7), 671–675. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Walker JM, Myers AM, Schluchter MD, Goldberg VM, Caplan AI, Berilla JA, et al. (2011). Nondestructive evaluation of hydrogel mechanical properties using ultrasound. Annals of Biomedical Engineering, 39(10), 2521–2530, doi: 10.1007/s10439-011-0351-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Chung C-Y, Heebner JE, Duesler LD, Mansour JM, & Welter JF (2013). The feasibility of using ultrasound elastography to determine material properties of engineered cartilage in a sterile bioreactor. Paper presented at the MSC2013, Cleveland, OH, August 19 – 21 [Google Scholar]
- 39.ASTM (2014). E1065/E1065M-14 Standard guide for evaluating characteristics of ultrasonic search units. ASTM International, West Conshohocken, PA: ASTM. [Google Scholar]
- 40.Mansour JM, Gu DW, Chung CY, Heebner J, Althans J, Abdalian S, et al. (2014). Towards the feasibility of using ultrasound to determine mechanical properties of tissues in a bioreactor. Annals of Biomedical Engineering, 42(10), 2190–2202, doi: 10.1007/s10439-014-1079-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Zheng YP, Mak AFT, Lau KP, & Qin L (2002). An ultrasonic measurement for in vitro depth-dependent equilibrium strains of articular cartilage in compression. Physics in Medicine and Biology, 47(17), 3165–3180. [DOI] [PubMed] [Google Scholar]
- 42.Zheng YP, Ding CX, Bai J, Mak AF, & Qin L (2001). Measurement of the layered compressive properties of trypsin-treated articular cartilage: an ultrasound investigation. Medical & Biological Engineering & Computing, 39(5), 534–541. [DOI] [PubMed] [Google Scholar]
- 43.Laasanen MS, Saarakkala S, Töyräs J, Hirvonen J, Rieppo J, Korhonen RK, et al. (2003). Ultrasound indentation of bovine knee articular cartilage in situ. Journal of Biomechanics, 36(9), 1259–1267. [DOI] [PubMed] [Google Scholar]
- 44.Viren T, Saarakkala S, Jurvelin JS, Pulkkinen HJ, Tiitu V, Valonen P, et al. Quantitative evaluation of spontaneously and surgically repaired rabbit articular cartilage using intra-articular ultrasound method in situ. Ultrasound in Medicine and Biology, 36(5), 833–839, doi:S0301–5629(10)00078–5 [pii] 10.1016/j.ultrasmedbio.2010.02.015. [DOI] [PubMed] [Google Scholar]
- 45.Fortin M, Buschmann MD, Bertrand MJ, Foster FS, & Ophir J (2003). Dynamic measurement of internal solid displacement in articular cartilage using ultrasound backscatter. Journal of Biomechanics, 36(3), 443–447. [DOI] [PubMed] [Google Scholar]
- 46.Achenbach J (1984). Wave propagation in elastic solids (North-Holland Series in Applied Mathematics and Mechanics): Elsevier. [Google Scholar]
- 47.Guilak F, Ratcliffe A, & Mow VC (1995). Chondrocyte deformation and local tissue strain in articular cartilage: a confocal microscopy study. Journal of Orthopaedic Research, 13(3), 410–421, doi: 10.1002/jor.1100130315. [DOI] [PubMed] [Google Scholar]
- 48.Laasanen MS, Töyräs J, Korhonen RK, Rieppo J, Saarakkala S, Nieminen MT, et al. (2003). Biomechanical properties of knee articular cartilage. Biorheology, 40(1–3), 133–140. [PubMed] [Google Scholar]
- 49.Schinagl RM, Ting MK, Price JH, & Sah RL (1996). Video microscopy to quantitate the inhomogeneous equilibrium strain within articular cartilage during confined compression. Annals of Biomedical Engineering, 24(4), 500–512. [DOI] [PubMed] [Google Scholar]
- 50.Wang CC, Deng JM, Ateshian GA, & Hung CT (2002). An automated approach for direct measurement of two-dimensional strain distributions within articular cartilage under unconfined compression. Journal of Biomechanical Engineering, 124(5), 557–567. [DOI] [PubMed] [Google Scholar]
- 51.Zheng YP, Niu HJ, Arthur Mak FT, & Huang YP (2005). Ultrasonic measurement of depth-dependent transient behaviors of articular cartilage under compression. Journal of Biomechanics, 38(9), 1830–1837, doi: 10.1016/j.jbiomech.2004.08.020. [DOI] [PubMed] [Google Scholar]
- 52.Joseph D, Gu WY, Mao XG, W.M. L, & Mow VC (1999). True density of normal and encymatically treated bovine articular cartilage. Paper presented at the Proceedings of 45th Annual Meeting of Orthopaedic Research Society, Anaheim, CA, [Google Scholar]
- 53.Williams SK, Amiel D, Ball ST, Allen RT, Wong VW, Chen AC, et al. (2003). Prolonged storage effects on the articular cartilage of fresh human osteochondral allografts. Journal of Bone and Joint Surgery, 85(11), 2111–2120, doi: 10.2106/00004623-200311000-00008. [DOI] [PubMed] [Google Scholar]
- 54.Laouar L, Fishbein K, McGann LE, Horton WE, Spencer RG, & Jomha NM (2007). Cryopreservation of porcine articular cartilage: MRI and biochemical results after different freezing protocols. Cryobiology, 54(1), 36–43, doi: 10.1016/j.cryobiol.2006.10.193. [DOI] [PubMed] [Google Scholar]
- 55.Agemura DH, O’Brien WD Jr., Olerud JE, Chun LE, & Eyre DE (1990). Ultrasonic propagation properties of articular cartilage at 100 MHz. Journal of the Acoustical Society of America, 87(4), 1786–1791. [DOI] [PubMed] [Google Scholar]
- 56.Maroudas A (1968). Physicochemical properties of cartilage in the light of ion exchange theory. Biophysical Journal, 8(5), 575–595. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Kempson GE, Spivey CJ, Swanson SA, & Freeman MA (1971). Patterns of cartilage stiffness on normal and degenerate human femoral heads. Journal of Biomechanics, 4(6), 597–609. [DOI] [PubMed] [Google Scholar]
- 58.Kiefer GN, Sundby K, McAllister D, Shrive NG, Frank CB, Lam T, et al. (1989). The effect of cryopreservation on the biomechanical behavior of bovine articular cartilage. Journal of Orthopaedic Research, 7(4), 494–501, doi: 10.1002/jor.1100070406. [DOI] [PubMed] [Google Scholar]
- 59.Ball ST, Amiel D, Williams SK, Tontz W, Chen AC, Sah RL, et al. (2004). The effects of storage on fresh human osteochondral allografts. Clinical Orthopaedics and Related Research(418), 246–252, doi: 10.1097/00003086-200401000-00043. [DOI] [PubMed] [Google Scholar]
- 60.Viidik A, & Lewin T (1966). Changes in tensile strength characteristics and histology of rabbit ligaments induced by different modes of postmortal storage. Acta Orthopaedica Scandinavica, 37(2), 141–155. [DOI] [PubMed] [Google Scholar]
- 61.Hori RY, & Mockros LF (1976). Indentation tests of human articular cartilage. Journal of Biomechanics, 9(4), 259–268. [DOI] [PubMed] [Google Scholar]
- 62.Qu C, Hirviniemi M, Tiitu V, Jurvelin JS, Toyras J, & Lammi MJ (2014). Effects of Freeze-Thaw Cycle with and without Proteolysis Inhibitors and Cryopreservant on the Biochemical and Biomechanical Properties of Articular Cartilage. Cartilage, 5(2), 97–106, doi: 10.1177/1947603513515998. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Szarko M, Muldrew K, & Bertram JE (2010). Freeze-thaw treatment effects on the dynamic mechanical properties of articular cartilage. BMC Musculoskelet Disord, 11, 231, doi: 10.1186/1471-2474-11-231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Patil SG, Zheng YP, & Chen X (2010). Site dependence of thickness and speed of sound in articular cartilage of bovine patella. Ultrasound in Medicine and Biology, 36(8), 1345–1352, doi: 10.1016/j.ultrasmedbio.2010.05.006. [DOI] [PubMed] [Google Scholar]
- 65.Myers ER, Lai WM, & Mow VC (1984). A continuum theory and an experiment for the ion-induced swelling behavior of articular cartilage. Journal of Biomechanical Engineering, 106(2), 151–158. [DOI] [PubMed] [Google Scholar]
- 66.Setton LA, Tohyama H, & Mow VC (1998). Swelling and curling behaviors of articular cartilage. Journal of Biomechanical Engineering, 120(3), 355–361. [DOI] [PubMed] [Google Scholar]
