1.IntroductionThe behavior of light in biological tissues is governed by intrinsic fundamental and wavelength-dependent properties (optical properties), including absorption coefficient (), scattering coefficient (), extinction coefficient (), scattering anisotropy factor (), reduced scattering coefficient (), and refractive index ().1–3 The key factors determining the optical properties of biological tissues are chemical composition, concentration, size, distribution, and alignment of the tissue matrix’s biomolecules.3 Since these vary between biological tissues and within the same tissue due to biological or pathological processes, this variation often leads to differences in optical properties between healthy and pathological tissues. Thus, the optical properties of biological tissues have been adopted as biomarkers for the non-invasive screening of tissue pathologies in multiple organs, including muscles, brain, skin, heart, and breast.1 In musculoskeletal research, particularly relating to osteoarthritis, there is growing research interest in applying diffuse optical technologies for the diagnostic assessment of musculoskeletal tissues, particularly with a focus on early detection and characterization of degenerative diseases, such as osteoarthritis.4–9 One of the primary tissues of focus in musculoskeletal research is articular cartilage, the highly specialized connective tissue covering the ends of bones in articulating joints. Articular cartilage enables joint lubrication and transmission of load to the underlying bone, thus allowing smooth joint motion. The function of articular cartilage is inherently related to the structure and composition of its extracellular matrix. Articular cartilage comprises a biphasic matrix and chondrocytes—the sole cellular component of the tissue embedded within the matrix. Articular cartilage solid matrix mainly comprises of collagen fibers, proteoglycan macromolecules, and water.10 The size and orientation of collagen fibers in articular cartilage is a function of tissue depth, varying from the articular surface to the subchondral bone, resulting in three distinct zones, namely: superficial zone, middle zone, and deep zone.11 The collagen fibers are oriented parallel to the articular surface in superficial zone, exhibit a skewed orientation in middle zone, and have a perpendicular orientation in deep zone.10 Furthermore, there is a mineralized layer of calcified cartilage at the interface between cartilage matrix and subchondral bone.12 The unique alignment of collagen fibers and the high osmotic pressure created by proteoglycans equip cartilage matrix with unique biomechanical properties to withstand various mechanical stresses. In the past two decades, various studies have reported the and of articular cartilage and assessed their potential for characterizing the tissue.13–22 However, little attention is given to how articular cartilage zonal architecture affects light propagation through the tissue matrix. In particular, the scattering properties of articular cartilage zones and their impact on the overall optical properties and response of the bulk tissue are not well understood. Few studies in the literature have investigated and values of articular cartilage bulk tissue and zones.13,23,24 Beek et al.13 reported of bulk rabbit cartilage tissue at 632.8 nm using a double-integrating sphere and the inverse adding doubling method.25 Shyu et al.23 reported the effective of bulk porcine articular cartilage estimated by optical coherence tomography. Jambor et al.24 utilized goniometric setup to estimate the and of articular cartilage superficial, middle, and deep zones at 445 and 890 nm and showed how enzymatic degradation such as depletion of proteoglycan and disruption of the collagen mesh will affects these parameters. The present study aims to provide the spectral values of and of healthy articular cartilage zones from different anatomical origins within the bovine knee. We hypothesized the unique compositional and structural properties of articular cartilage zones affects the scattering properties of the tissue and this influence is represented in the scattering properties of articular cartilage zones. We carried out a series of optical spectroscopic and imaging measurements to validate this hypothesis. 2.Materials and Methods2.1.Sample PreparationIn this study, intact bovine knee joints () collected from a local abattoir were used; thus, no ethical permission was required. In the collection process, the joints were selected from skeletally mature animals and no cofounding factors, such as age and sex, were controlled. The joints were obtained within 1 week of slaughter and kept at 4°C before sample extraction. Two sets of adjacent osteochondral samples were harvested from the lateral and medial sides of the femur, tibia, and patella of the joints. Samples in both sets (sets A and B) were extracted using a diameter punch (). After the osteochondral plug extraction, the bone end of each sample was filed until it was parallel to its surface. During the process, the cartilage surface of the plugs was continuously rinsed with phosphate-buffered saline solution (PBS, pH 7.4, containing inhibitors) to minimize deterioration, such as interstitial water evaporation. Subsequently, the cartilage layer of samples in set A was extracted and subjected to integrating sphere measurement to determine the broadband and and polarized light microscopy imaging to estimate the collagen fiber orientation. For samples in set B, cartilage sections () were extracted from the different depth-wise zones and subjected to collimated transmittance measurements to estimate their broadband . Table 1 describes the number of samples collected in each set and their anatomical origin. Table 1Details of the samples collected in sets A and B. FL, lateral femoral group; FM, medial femur group; PL, lateral patella group; PM, medial patella group; TL, lateral tibia plateau group; and TM, medial tibia plateau. SZ, superficial zone; MZ, medial zone; and DZ, deep zone of articular cartilage, respectively. IS, integrating sphere measurements; PLM, polarized light microscopy imaging; and CT, collimated transmittance measurements.
2.2.microCT ImagingTo estimate the thickness and surface diameter of the articular cartilage samples, set A was subjected to microCT imaging immediately after extraction. The samples were imaged with a microCT scanner (XT H 225, Nikon Metrology, Leuven, Belgium). The images were acquired with isotropic voxel size, but the voxel size was increased to when reconstructions were calculated. The tube voltage was set to 80 kVp with a 1.0 mm aluminum filter. After image acquisition and reconstruction, the thickness and surface diameter of the articular cartilage part of the osteochondral samples were estimated via processing the microCT images. In summary, the 3D osteochondral microCT images were segmented to obtain the volume of the articular cartilage segment. Considering that the microCT image histogram has three peaks, it can be readily segmented into three classes using histogram thresholding. The classes are bone, soft tissue (articular cartilage and moisture), and background (including air and the sample holder). Distinguishing moisture from articular cartilage is not possible using their intensity values alone. Therefore, the segmentation was done using morphological operators and surface normal vectors to geometrically isolate the articular cartilage tissue from the moisture.26 Figure 1 depicts the processing of the microCT images of the osteochondral samples. After microCT imaging, the articular cartilage portion of the osteochondral samples was mechanically detached from sunchondral bone using a scalpel, and then samples were stored in PBS at −20. 2.3.Cartilage Cryosection ProcedureSamples in set B were further processed to extract tissue sections from the different cartilage zones. The bone end of each sample was mounted on a disc using a fixative solution (Optimal Cutting Temperature compound, Thermo Fisher Scientific Ltd., Runcorn, United Kingdom). The assembly was placed in a cryostat chamber (Leica CM3050 S, Leica Biosystems, Wetzlar, Germany) for 5 min at to allow sample freezing. Afterward, the assembly was placed on the rotary microtome within the cryostat chamber. Before sectioning, the first of the articular surface was cut and discarded to provide a uniformly smooth and flat surface for sectioning. A series of sections with a thickness of was then consequently obtained. The sections were hydrated with PBS and sandwiched between a glass slide (thickness = 1 mm, Menzel-Gläser Frosted Microscope Slides, ThermoFisher Scientific, Oy, Finland) and a coverslip (thickness = 0.13 mm, Menzel Microscope Coverslips, ThermoFisher Scientific, Oy, Finland) and then stored in a humid box at −20 for collimated transmittance measurement. The selection of the sections to present the zonal structure of articular cartilage was carried out as follows: (I) the first section was always considered superficial zone, (II) the subsequent section was considered to represent middle zone, and (III) the deep zone layer was selected after the first of the tissue. 2.4.Integrating Sphere MeasurementsThe optical setup used in this study comprises an optical apparatus to measure the optical response of biological tissues (reflectance and transmittance) and an optical simulation software to estimate the optical properties ( and ) from the optical response of tissues. The optical apparatus is an optimized double-beam integrating sphere setup consisting of a halogen light source (Halostar Starlite, OSRAM, Germany), a visible-band spectrometer with 3-nm resolution (Maya2000Pro, Ocean Optics, USA), a near-infrared (NIR)-band spectrometer with 7-nm resolution (NIRQuest512-1.7, Ocean Optics, United States), an in-house 3D-printed integrating sphere, and a glass sample holder construct [Fig. 1(a)]. Technical details of the optical setup, including its calibration and validation of the measured optical properties, are reported elsewhere.22,26,27 To estimate the optical properties of articular cartilage, the spectral band of 400 to 1400 nm was used as of water is low and allows the detection of the spectral features of other chromophores in articular cartilage. In addition, given the higher values of in this band and high values of , a higher penetration depth can be achieved that facilitates the extraction of biologically relevant features from deep within the tissue. Moreover, in the absence of spectral values of and for bulk articular cartilage, fixed values of 1.358 and 0.9 from the literature were used for and .28,29 The in-house optical simulation software was used to implement a 3D Monte Carlo Solver and Henyey–Greenstein scattering phase function26 to simulate the angular distribution of scattered photons. The optical simulation software considered the samples to be perfect cylinders. Hence, the lateral radius and axial thickness of articular cartilage samples from Set A, estimated using microCT imaging, were applied to build the cylindrical geometry of the sample in the software. Before optical measurement, the samples from set A were thawed to room temperature for 30 min. Subsequently, they were placed within a cylindrical sample holder of glass cuvettes to reduce the refractive index mismatch between the tissue and the surrounding medium [Fig. 1(a)]. To estimate the values of and , we hypothesized that during the integrating sphere measurements, the surrounding medium, filling the gap between articular cartilage and the inner walls of the sample holder, is air to account for any potential morphological irregularities of the samples. 2.5.Collimated Transmittance MeasurementsThe articular cartilage sections extracted from set B samples were subjected to collimated transmittance measurements. The optical setup consists of (I) a halogen lamp (HL-2000, Ocean Insight, United States) as the light source; (II) a spectrometer (Maya 2000 Pro, Ocean Insight, United States); (III) two lenses with regular achromats of f-60 mm and a diameter of 25.4 mm (LINOS Photonics Inc., United States); (IV) an illumination fiber with core diameter; (V) detection fiber with a core diameter; (VI) a diffusor disc; and (VII) an optical fiber with core diameter, connecting the diffusor disc to the spectrometer. The collimated transmittance measurements were carried out in the spectral band of 400 to 1400 nm. The optical resolution of the used spectrometer in the spectral, with an entrance slit of , is around 3 nm. Figure 1(b) shows the schematics and images of the collimated transmittance setup. The extinvtion coefficient, , of set B samples were estimated by applying Beer–Lambert’s Law3 on the collimated transmittance dataset. In particular, was obtained as where is the transmittance signal of the samples subtracted by the dark current noise of the system () and normalized by the detector dynamic range (). is the transmittance measurement when no sample is placed in the system. Finally, is the thickness of the samples. Table 1 depicts the number of samples per anatomical location and zonal layer for collimated transmittance measurements.2.6.Polarized Light MicroscopyThis study subjected the set A samples to histological processing to prepare thin axial tissue sections for acquiring information about the orientation of collagen fibers in articular cartilage using polarized light microscopy imaging.30 After the integrating sphere measurements, the specimens were placed into a fixative solution containing formaldehyde (4%, Merck, Darmstadt, Germany) and ethylenediaminetetraacetic acid (EDTA, 10%, Merck, Darmstadt, Germany), and were kept at room temperature for 21 days. Following fixation, the process continued by dehydrating the specimens with a series of graded ethanol-based solutions and embedding the dehydrated specimens in paraffin for sectioning. The embedded specimens were halved from sagittal plane, and one set of three unstained deparaffinized axial sections was obtained from each half. Fixed tissue sections obtained from set A samples were subjected to polarized light microscopic imaging,30,31 using an apparatus equipped with a microscope body (Leitz Ortholux II POL, Leitz Wetzlar, Germany), a monochromatic light source (, Edmund Optics Inc., Barrington, New Jersey, United States), crossed polarizers (Techspec optics® XP42-200, Edmund Optics, Barrington, New Jersey, United States), and a monochrome camera (pixel size , BFS-U3-88S6M-C FLIR Blackfly® S, FLIR Systems Inc., United States) with a 2.5× magnification objective. The setup consists of a sample placed between a polarizer and an analyzer at a 90 deg angle. Samples were measured at 21 different orientation angles in the band of (0 deg, 180 deg) with a 9 deg step size. The collagen network of articular cartilage induces birefringence.32 Thus, by measuring the intensity of the polarized light at several angles, a parallelism index can be defined as a measure of collagen fiber orientation using Michelson contrast and the Stokes parameters (, , and ). A detailed description of the algorithm for estimating the collagen fiber orientation is reported elsewhere.31 Table 1 depicts the number of samples per anatomical location used for polarized light microscopy imaging. Six measurements were carried out for each sample and the results were averaged to provide a depth-wise orientation of collagen fibers for the samples. On average, the superficial zone of the bovine cartilage sample used in this study was 8% of the total thickness, the middle zone was 21% of the total thickness, and the deep zone was 71% of the total thickness. 2.7.Estimation of Scattering ParametersWhen photons undergo a single scattering event in the tissue under investigation, the Mie–Rayleigh formula empirically describes of biological tissues as a mixture of photon scattering by the Rayleigh and Mie scatterers, weighted by their normalized contribution fraction. The intensity of Rayleigh-scattered photons varies proportionally to , whereas that of Mie-scattered photons varies proportionally to , where is a parameter related to the size of the Mie scatterers and is the wavelength of investigation.3 Hence, the Mie–Rayleigh formula describes as where (= , ) is a parameter related to the density of the scatterer particles in the tissue, (= 500 nm) is a reference wavelength used for nondimensionalization, and is the normalized contribution fraction of the Rayleigh scatterers to . Similarly, when photons undergo multiple scattering events in the tissue, can be described by the Mie–Rayleigh formula, hence (= , ), , and are the scatterer density parameter, normalized contribution fraction of Rayleigh scatterers to , and the size parameter of Mie scatterers, respectively.For both cases of and , the Mie–Rayleigh parameters are estimated by fitting the associated Mie–Rayleigh equations to the experimental values of and , respectively. As articular cartilage has low , thus is assumed to be mainly determined by (). After removing outliers (), the mean and RMSE scores of Mie–Rayleigh fit for are 96.84% and 1.1576. The mean and RMSE scores of Mie–Rayleigh fit for are 98.83% and 0.0909. The scattering anisotropy factor () is defined as Note that is dependent on the scattering phase function used for estimating . Given that the Henyey–Greenstein scattering phase function is used in this study to estimate , the estimated broadband values of are representative of Mie type of scatterers that are best described by the Henyey–Greenstein phase function (). Nevertheless, the estimated values of can be transferred to another set of values () that can account for the contribution of Rayleigh scatterers to the photon scattering in articular cartilage as follows: Where is the normalized volume fraction of the Rayleigh scatterers. Equation (5), proposed by Graaff et al.,33 estimates the impact of Rayleigh scatterers on of biological tissues.Similar to the Mie–Rayleigh formula, the Mie-collagen formula describes the scattering properties of biological tissues as scattering due to Mie scatterers and small cylindrical particles with nm-scale diameter. The Mie-collagen power law for and can be described as where (= , ) and (= , ) are the scatterer density parameters; and are the Mie scatterer size parameters; and and are the contribution fraction of collagen scatterers to and , respectively.22 This empirical formula was suggested by Kienle et al.,22 as they observed through their research that the three-order power function fits the scattering coefficients better than the four-order power function (Rayleigh scattering) for biological tissues that are predominantly composed of collagen fibers. The results of data analysis on Mie-collagen scattering formula are presented in the Supplementary Material. After removing outliers (), the mean and scores of Mie-collagen fit for are 96.8% and 1.1598. The mean and RMSE scores of Mie-collagen fit for are 98.84% and 0.0906.2.8.Statistical AnalysisStatistical tests were conducted to investigate if the difference in the Mie–Rayleigh parameters per articular cartilage zone and anatomical location are significant.
The statistical test comprises the Kolmogorov–Smirnov normality test, Leven’s test for equality of variances, one-way ANOVA and Tukey’s tests to examine the difference in normally-distributed observations, and Kruskal-Wallis and Dunn’s tests for nonparameteric observations. All the computational and statistical analyses required for the present report were carried out in MATLAB (R2019b and R2020b) and Python v3.7 using standard libraries. 3.ResultsThe values of of bulk articular cartilage suggest that the tissue possesses low light absorption strength with apparent water absorption peaks at 950 and 1150 nm [Fig. 2(a)]. On average, the decrease of values of bulk articular cartilage shows the presence of Rayleigh scatterers in the tissue and their contribution to [Fig. 2(b)]. The similarity of bulk articular cartilage and over different anatomical locations suggest anatomical variation has minimal impact on the bulk optical properties [Figs. 2(a) and 2(b)]. The values of of articular cartilage zones are predominantly influenced by the tissue’s , with minimal impact of , including the water absorption peaks at 950 and 1150 nm (Fig. 3). Mean values of and exhibited higher values in deep zone than middle zone and superficial zones over the anatomical sites of medial femur and patella, and lateral and medial tibia. In addition, similar to , the decrease of of articular cartilage zones suggests the presence of Rayleigh scattering and its contribution to [Fig. 3(b)]. When the Mie–Rayleigh parameters of of cartilage zones are considered [Fig. 4(a)], on average and across all anatomical locations, the scatterer density parameter () increases consistently with tissue depth. That is, is highest in deep zone and also higher in middle zone than in superficial zone (Table 2). The scatterer size parameter () shows a similar trend to when averaged across all anatomical locations. However, the contribution of Rayleigh scatterer to () is highest in middle zone with a mean value of 10.65% across all anatomical locations (Table 2). When the Mie–Rayleigh parameters of bulk articular cartilage are considered [Fig. 4(b)], on average, the scatterer density parameter () is higher in the lateral groups (lateral femur, tibia, and patella) than in the medial groups (medial femur, tibia, and patella). The scatterer size parameter () shows a similar trend in the lateral and medial groups. However, when the contribution of Rayleigh scatterer to () is considered, the medial groups possess larger values of than the lateral groups (Table 2). Table 2The mean values of the scatterer-density parameter (α and α*), the scatterer-diameter parameter (b and b*) and normalized contribution of Rayleigh scatterers (c and c*) to the scattering coefficients of articular cartilage zones and bulk tissue across different anatomical location. μs and μs′ are the single and reduced scattering coefficients. SZ, MZ, and DZ are the superficial, middle, and deep zones of articular cartilage, respectively. FL and FM are the lateral and medial femur sites; PL and PM are the lateral and medial patella sites; and TL and TM are the lateral and medial tibia sites. The Mie–Rayleigh parameters were obtained by fitting Eqs. (2) and (3) to μs and μs′ values, respectively. The mean R2 and RMSE scores of Mie–Rayleigh fit for μs are 96.84% and 1.1576. The mean R2 and RMSE scores of Mie–Rayleigh fit for μs′ are 98.83% and 0.0909.
The results of the statistical analysis indicate a nonuniform statistically significant difference between the Mie–Rayleigh parameters of of the articular cartilage zones and anatomical sites (Table 3). In particular, is significantly different between superficial and deep zones () and between middle and deep zones (). However, and are not statistically significant across the different zones (Table 3). Table 3The p-value of posthoc method of group statistical test for assessing the statistically significant difference of Mie–Rayleigh parameters of μs over different articular cartilage zones and anatomical locations. μs is the single scattering coefficient of articular cartilage tissue. α is the scatterer-density parameter, b is the scatterer-size parameter, and c is the contribution of the Rayleigh scatterers to μs of articular cartilage zones. SZ, MZ, and DZ are the superficial, middle, and deep zones of articular cartilage, respectively. FL and FM are the lateral and medial femur sites, PL and PM are the lateral and medial patella sites, and TL and TM are the lateral and medial tibia sites. The italicized values highlight the statistical significance difference.
In addition, the statistical analysis suggests significant difference of Mie–Rayleigh parameters of articular cartilage (from all zones) when considered over anatomical locations. , , and are significantly different between lateral femur and medial patella, between lateral femur and tibia, between medial femur and patella, between medial femur and lateral tibia, between lateral and medial patella, and between lateral patella and tibia, all with -values (Table 3). No statistically significant difference were observed for the Mie–Rayleigh scattering parameters of over different anatomical locations. Furthermore, similar statistical analysis was carried out for the Mie-collagen parameters of and . The results are presented in the Supplementary Material. As observed in Fig. 5(c), deep zone forms a significant part of articular cartilage () with collagen angular alignment of . Whereas superficial (collagen angular alignment of ) and middle zone ( collagen angular alignment of ) contribute roughly to 20% of articular cartilage tissue depth across different anatomical locations. The values of ( and ) for the different zones [Figs. 5(a) and 5(b)] suggest that light in the visible and NIR bands follows a forward-direction propagation in articular cartilage zones with higher and in the spectral band of 800 to 1400 nm than the short visible band (400 to 800 nm). In addition, across all anatomical locations, shows a monotonically increasing trend as function of tissue depth. That is is highest in deep zone; middle zone exhibits the lowest values across the anatomical sites lateral femur, and medial femur, patella, and tibia, whereas superficial zone possess the lowest values across the lateral patella and tibia. When the contribution of Rayleigh scatterers are considered, superficial zone has the lowest values over the anatomical locations of lateral patella, medial patella, and lateral tibia. Whereas middle zone exhibits lowest values over the anatomical locations lateral femur, medial femur, and medial tibia. 4.DiscussionThis study addresses the gap in knowledge on the scattering properties of articular cartilage depth-wise zones by determining its values of and in the different zones, in addition to the depth-wise Mie–Rayleigh parameters. The present findings enhance understanding on the scattering properties of healthy bulk articular cartilage and its depthwise zones. In addition, the depth-wise angular distribution of articular cartilage collagen fibers were provided to investigate the impact of collagen orientation on articular cartilage . In this study, we hypothesized that normal variation in articular cartilage zones will influence its scattering properties. Our results indicate that , the Mie-Rayleigh parameter representing scatterer density in articular cartilage, exhibits statistically significant variations throughout the zones of articular cartilage. Furthermore, and of articular cartilage zones show that they vary across the tissue depth. In our view, various factors affect the values of articular cartilage , including the depth-wise normalized fraction of the Rayleigh scatterers contribution to the scattering coefficients, the intensity of light scattered by the Rayleigh and Mie scatterers as a function of wavelength, and the heterogeneity of the tissue’s structure. When the contribution of Rayleigh scatterers to of bulk articular cartilage tissue is considered, on average, of can be attributed to these scatterers. Hence, the impact of Rayleigh scatterers on bulk articular cartilage is expected to be weak (). When the contribution of Rayleigh scatterers to of the different cartilage zones is considered, their impact on becomes more apparent. On average, these scatterers contribute to 10.19%, 10.65%, and 3.87% of of articular cartilage superficial, middle, and deep zones, respectively. Therefore, as observed in Fig. 5, the broadband values of articular cartilage at superficial and middle zones are lower than those at deep zone. When is considered in the different zones and anatomical locations (Fig. 5), our findings suggest that (the contribution of the Rayleigh scatterers) acts as a scaling factor on the magnitude of (), which is supported by Eq. (5). To understand how articular cartilage changes as a function of wavelength in the spectral band of 400 to 1400 nm, we investigated this behavior in the different tissue zones, separately from the bulk tissue. This is because collagen orientation within each zone is relatively homogeneous, except in middle zone, but the angular distribution of collagen fibers in the bulk tissue exhibits a wide range of variation, as high as 70 deg [Fig. 5(c)]. Therefore, it is plausible that the spectral behavior of within articular cartilage zones stems from the ratio between the intensity of light scattered by the Rayleigh and Mie scatterers, whereas in the bulk tissue, the heterogeneity of angular distribution of collagen fibers acts as a confounding factor. As stated earlier, the behavior of is primarily dependent upon the scattering phase function. The scattering phase function describes the intensity of the scattered light, which is affected by the Rayleigh and Mie scatterers. The intensity of light scattered by the Rayleigh and Mie scatterers varies in proportion to and , respectively. On average, the parameter was estimated as 1.4068, 1.3508, and 1.2925 for articular cartilage superficial, middle, and deep zones, respectively (Table 2). The 4% to 8% difference in suggests similarities across the zones, which in turn leads to similar trends of and (both and ) in superficial, middle, and deep zones (Figs. 3 and 5). When the impact of the zonal structure of articular cartilage on is considered, the importance of the angular distribution of collagen fibers across the tissue depth becomes apparent. 80% of bovine articular cartilage matrix consists of deep zone with collagen fibers oriented between 60 deg and 80 deg [Fig. 5(c)]. Whereas superficial zone (fiber orientation of 0°-30°) and middle zone (fiber orientation of 30 deg to 60 deg) together comprise roughly the first 20% of bovine cartilage matrix. Hence, we speculate that in the short visible spectral band (400 to 700 nm), the structural and scattering features of superficial and middle zones, including collagen orientation and contribution of Rayleigh scatterers to the scattering coefficients, will affect the values of articular cartilage bulk tissue. This is because of the higher intensity of Rayleigh scattering in this spectral band and the higher contribution of Rayleigh scatterers to of cartilage superficial and middle zones. In addition, the change of collagen fiber orientation from parallel to the articular surface in superficial zone to a skewed orientation in middle zone is likely to alter the light propagation behavior and cause the values of to be dependent on the alignment of collagen fibers. This speculation can also be supported by the scattering mean free path (). Due to large values of in the short visible band, the scattering mean free path decreases while the number of scattering events in superficial and middle zones increases. Hence, the impact of structural and scattering properties of superficial and middle zones on light scattering is higher in this spectral band. In the far visible and NIR bands (700 to 1400 nm), the values of for bulk cartilage is affected by the structural and scattering properties of deep zone predominantly. As the photon wavelength shifts from the short visible to the NIR region, the magnitude of declines and the size of the scattering mean free path increases. Given that articular cartilage is mostly comprised of deep zone with collagen fibers oriented perpendicular to the surface, most of the scattering events occur in a forward direction in deep zone. Hence, bulk articular cartilage is expected to have values like those of superficial and middle zones in the short visible region and values close to those of deep zone in the far visible and NIR regions. Detailed knowledge of the light propagation characteristics in articular cartilage is critical for a better understanding of the origin of the optical response of the tissue. Light penetration depth, depth-origin, and path length of photons propagating the articular cartilage matrix are the key parameters that can shed light on the contribution of the different zones of the articular cartilage on its optical response. This study provides critical input for developing Monte Carlo models of light propagation in articular cartilage to estimate photon penetration depth, depth origin, and path length and subsequently the wavelength-dependent optical response of the tissue. In this study, certain reasonable assumptions were made. Light propagation in biological tissues are complex. That is, due to complex architecture of their matrix, light propagation becomes anisotropic and tissue scattering coefficients and phase function become dependent on the light’s incident direction. Skin, muscle, and dentin are example of such tissues that exhibit anisotropic light propagation.33,34 We speculate that articular cartilage, due to its zonal architecture, is an example of such biological tissues too. However, we assumed an isotropic light propagation model to investigate the light interaction in articular cartilage and estimate its optical properties. The underlying reason is due to numerous unknowns associated with the anisotropic model of light propagation in articular cartilage that makes its usage not feasible. In general, the reported values are from different layers of articular cartilage, whereas the values are obtained from the bulk of articular cartilage tissue, hence is a lump-sum representation of the of articular cartilage layers. However, the low thickness of the tissue’s superficial and middle zones (less than a few hundred micrometers) makes it impossible to extract sufficiently thick sections from superficial and middle zones to estimate their . Therefore, our approach was to estimate the of bulk articular cartilage and of articular cartilage zones and investigate the relationship between the scattering properties of the bulk tissue and its zones through [Eq. (4)]. In this context, we assumed represents a normalized contribution of individual cartilage zones to the scattering properties of bulk tissue. As the broadband values of and scattering phase function of bulk articular cartilage tissue are not known and the estimation of and depends on these parameters, we used fixed values of and (applying to the Henyey–Greenstein scattering phase function used in this study) to estimate its broadband and values. Bergmann et al.22 reported that the variation of in the range of 1.3 to 1.5 could result in a relative change of less than 5% for and for of biological tissues. More so, in our previous study,29 we showed that using fixed value of () will not result in statistically significant change in the estimation of articular cartilage and . Thus, we expect that using fixed value of for estimation of bulk articular cartilage has minimal impact on the reported values of for different zones of articular cartilage. Furthermore, the choice of scattering phase function used in the estimation of plays a crucial role in determining the spectral values of , which is inherently dependent upon the scattering phase function, and defined as the first Legendre moment of the scattering phase function.1 In this study, the Henyey–Greenstein phase function was used to estimate the of bulk articular cartilage. As we utilized the relationship between and [Eq. (4)] to estimate articular cartilage , we expect that the estimated values of will also be dependent upon the Henyey-Greenstein scattering phase function. The Henyey–Greenstein phase function is biased toward the forward scattering of light by Mie scatterers.1,3 Therefore, the impact of the Rayleigh scatterers on the isotropic scattering of light and subsequently might not be properly captured by the Henyey–Greenstein scattering phase function. To minimize the impact of this bias, Eqs. (2) and (5) were utilized to estimate the volume fraction of the Rayleigh scatterers and to account for their impact on articular cartilage . We estimated the volume fraction of the Rayleigh scatterers in each zone of articular cartilage from different anatomical origins and showed how the depth-wise normalized contribution of the Rayleigh scatterers to of articular cartilage will impact the corresponding values [Table 2 and Fig. 5(b)]. We also provided the spectral values of based on the Henyey–Greenstein phase function () and when the contribution of Rayleigh scatterers is accounted for (). We then enumerated the similarities and differences between and across cartilage zones and various anatomical locations. Although it is often theoretically expected to observe decreasing broadband values of with increasing wavelength, our results show an increasing trend in the broadband values of for articular cartilage. We performed Monte Carlo simulations, for which we considered the actual experimental setup, showing that for our apparatus and and a , there was no significant contribution from multi-scattered light using the Henyey–Greenstein phase function. Hence, the measurement geometry and the resulting values for should be precise. Therefore, the increasing trend of observed in this study could be potentially due to the alignment of collagen fibers, a special diameter distributions of the involved collagen fibers, and further scattering structures, such as the chondrocytes. Formulating the impact of these structures in articular cartilage and its broadband requires an independent investigation, which is out of the scope of the present study. 5.ConclusionThis study reports the broadband and of articular cartilage zonal structure in the spectral band of 400 to 1400 nm. To achieve this, we carried out integrating sphere measurements on bulk tissue of articular cartilage and collimated transmittance measurements on thin layers of articular cartilage that represent its zonal structure. Our findings suggest that the depth-wise distribution of the volume fraction of Rayleigh scatterers, the intensity of the light scattered by the Rayleigh and Mie scatterers, and the orientation of collagen fibers across the articular cartilage matrix are the key parameters that affect the broadband values of of articular cartilage zones and bulk tissue. AcknowledgmentsDr. Afara acknowledges funding from the Academy of Finland (Grant Nos. 315820, 320135, and 345670) and the Jane and Aatos Erkko Foundation (Grant No. 190001). Iman Kafian-Attari acknowledges funding from the Kuopio University Hospital (VTR grant) and the Finnish Academy of Science and Letters. The authors also acknowledge facility support from Advanced X-ray Tomography Laboratory for supporting the reform of local R&D&I operations project, Regional Council of Pohjois-Savo (Grant No. A74798), and ERDF Sustainable Growth and Jobs - Structural Fund Programme of Finland 2014–2020. ReferencesS. L. Jacques and B. W. Pogue,
“Tutorial on diffuse light transport,”
J. Biomed. Opt., 13
(4), 041302 https://doi.org/10.1117/1.2967535 JBOPFO 1083-3668
(2008).
Google Scholar
L. Rieppo, J. Töyräs and S. Saarakkala,
“Vibrational spectroscopy of articular cartilage,”
Appl. Spectrosc. Rev., 52
(3), 249
–266 https://doi.org/10.1080/05704928.2016.1226182 APSRBB 0570-4928
(2017).
Google Scholar
S. L. Jacques,
“Optical properties of biological tissues: a review,”
Phys. Med. Biol., 58
(11), R37
–R61 https://doi.org/10.1088/0031-9155/58/11/R37 PHMBA7 0031-9155
(2013).
Google Scholar
I. O. Afara et al.,
“Characterization of connective tissues using near-infrared spectroscopy and imaging,”
Nat. Protoc., 16
(2), 1297
–1329 https://doi.org/10.1038/s41596-020-00468-z 1754-2189
(2021).
Google Scholar
H. T. Kokkonen et al.,
“Computed tomography detects changes in contrast agent diffusion after collagen cross-linking typical to natural aging of articular cartilage,”
Osteoarthr. Cartil., 19
(10), 1190
–1198 https://doi.org/10.1016/j.joca.2011.07.008
(2011).
Google Scholar
S. B. Mahbub et al.,
“Non-invasive monitoring of functional state of articular cartilage tissue with label-free unsupervised hyperspectral imaging,”
Sci. Rep., 9
(1), 4398 https://doi.org/10.1038/s41598-019-40942-7 SRCEC3 2045-2322
(2019).
Google Scholar
S. Nebelung et al.,
“Morphometric grading of osteoarthritis by optical coherence tomography - an ex vivo study: morphometric grading of osteoarthritis,”
J. Orthop. Res., 32
(10), 1381
–1388 https://doi.org/10.1002/jor.22673 JOREDR 0736-0266
(2014).
Google Scholar
R. Shaikh et al.,
“Raman spectroscopy is sensitive to biochemical changes related to various cartilage injuries,”
J. Raman Spectrosc., 52
(4), 796
–804 https://doi.org/10.1002/jrs.6062 JRSPAF 0377-0486
(2021).
Google Scholar
University of California Irvine, 3418 Engineering Hall, Irvine, CA 92697, USAet al.,
“Nondestructive fluorescence lifetime imaging and time-resolved fluorescence spectroscopy detect cartilage matrix depletion and correlate with mechanical properties,”
Eur. Cell. Mater., 36 30
–43 https://doi.org/10.22203/eCM.v036a03
(2018).
Google Scholar
A. J. Sophia Fox, A. Bedi and S. A. Rodeo,
“The basic science of articular cartilage: structure, composition, and function,”
Sports Health Multidiscip. Approach, 1
(6), 461
–468 https://doi.org/10.1177/1941738109350438
(2009).
Google Scholar
F. H. Epstein and D. Hamerman,
“The biology of osteoarthritis,”
N. Engl. J. Med., 320
(20), 1322
–1330 https://doi.org/10.1056/NEJM198905183202006 NEJMAG 0028-4793
(1989).
Google Scholar
N. Arden and M. Nevitt,
“Osteoarthritis: epidemiology,”
Best Pract. Res. Clin. Rheumatol., 20
(1), 3
–25 https://doi.org/10.1016/j.berh.2005.09.007
(2006).
Google Scholar
J. F. Beek et al.,
“In vitro double-integrating-sphere optical properties of tissues between 630 and 1064 nm,”
Phys. Med. Biol., 42
(11), 2255
–2261 https://doi.org/10.1088/0031-9155/42/11/017 PHMBA7 0031-9155
(1997).
Google Scholar
M.-A. Descalle et al.,
“Measurements of ligament and cartilage optical properties at 351 nm, 365 nm, and in the visible range (440 to 800 nm),”
280
–286
(1998). Google Scholar
S. J. Madsen, E. A. Chu and B. J. F. Wong,
“The optical properties of porcine nasal cartilage,”
IEEE J. Sel. Top. Quantum Electron., 5
(4), 1127
–1133 https://doi.org/10.1109/2944.796339 IJSQEN 1077-260X
(1999).
Google Scholar
J.-I. Youn et al.,
“Optical and thermal properties of nasal septal cartilage,”
Lasers Surg. Med., 27
(2), 119
–128 https://doi.org/10.1002/1096-9101(2000)27:2<119::AID-LSM3>3.0.CO;2-V LSMEDI 0196-8092
(2000).
Google Scholar
V. N. Bagratashvili et al.,
“Change in the optical properties of hyaline cartilage heated by the near-IR laser radiation,”
Quantum Electron., 31
(6), 534
–538 https://doi.org/10.1070/QE2001v031n06ABEH001996 QUELEZ 1063-7818
(2001).
Google Scholar
D. W. Ebert,
“Articular cartilage optical properties in the spectral range 300–850 nm,”
J. Biomed. Opt., 3
(3), 326 https://doi.org/10.1117/1.429893 JBOPFO 1083-3668
(1998).
Google Scholar
T. Reuter et al.,
“Determination of the optical properties of native joint cartilage with NIR – spectroscopy,”
Biomed. Eng. Biomed. Tech., 58 743
–744 https://doi.org/10.1515/bmt-2013-4357
(2013).
Google Scholar
A. V. Yuzhakov et al.,
“Optical properties of costal cartilage and their variation in the process of non-destructive action of laser radiation with the wavelength 1.56 μm,”
Quantum Electron., 44
(1), 65
–68 https://doi.org/10.1070/QE2014v044n01ABEH015343 QUELEZ 1063-7818
(2014).
Google Scholar
I. Kafian-Attari et al.,
“Tissue optical properties combined with machine learning enables estimation of articular cartilage composition and functional integrity,”
Biomed. Opt. Express, 11
(11), 6480 https://doi.org/10.1364/BOE.402929 BOEICL 2156-7085
(2020).
Google Scholar
F. Bergmann et al.,
“Ex vivo determination of broadband absorption and effective scattering coefficients of porcine tissue,”
Photonics, 8
(9), 365 https://doi.org/10.3390/photonics8090365
(2021).
Google Scholar
J.-J. Shyu et al.,
“Diagnosis of articular cartilage damage by polarization sensitive optical coherence tomography and the extracted optical properties,”
Prog. Electromagn. Res., 91 365
–376 https://doi.org/10.2528/PIER09022602 PELREX 1043-626X
(2009).
Google Scholar
A. N. Jambor et al.,
“Assessing collagen alterations in enzymatic degradation models of osteoarthritis via second harmonic generation microscopy,”
Osteoarthr. Cartil., 29
(11), 1590
–1599 https://doi.org/10.1016/j.joca.2021.08.004
(2021).
Google Scholar
S. A. Prahl et al.,
“Determining the optical properties of turbid media by using the adding–doubling method,”
Appl. Opt., 32
(4), 559
–568 https://doi.org/10.1364/AO.32.000559
(1993).
Google Scholar
I. Kafian-Attari et al.,
“Impact of experimental setup parameters on measurement of articular cartilage optical properties in the visible and short near-infrared spectral bands,”
Biomed. Opt. Express, 14
(7), 3397
–3412 https://doi.org/10.1364/BOE.488801 BOEICL 2156-7085
(2023).
Google Scholar
F. Foschum, F. Bergmann and A. Kienle,
“Precise determination of the optical properties of turbid media using an optimized integrating sphere and advanced Monte Carlo simulations. Part 1: theory,”
Appl. Opt., 59
(10), 3203 https://doi.org/10.1364/AO.386011 APOPAI 0003-6935
(2020).
Google Scholar
F. Bergmann et al.,
“Precise determination of the optical properties of turbid media using an optimized integrating sphere and advanced Monte Carlo simulations. Part 2: experiments,”
Appl. Opt., 59
(10), 3216 https://doi.org/10.1364/AO.385939 APOPAI 0003-6935
(2020).
Google Scholar
S.-Z. Wang et al.,
“Assessment of depth and degeneration dependences of articular cartilage refractive index using optical coherence tomography in vitro,”
Connect. Tissue Res., 51
(1), 36
–47 https://doi.org/10.3109/03008200902890161 CVTRBC 0300-8207
(2010).
Google Scholar
S. B. Mehta, M. Shribak and R. Oldenbourg,
“Polarized light imaging of birefringence and diattenuation at high resolution and high sensitivity,”
J. Opt., 15
(9), 094007 https://doi.org/10.1088/2040-8978/15/9/094007
(2013).
Google Scholar
J. Rieppo et al.,
“Practical considerations in the use of polarized light microscopy in the analysis of the collagen network in articular cartilage,”
Microsc. Res. Tech., 71
(4), 279
–287 https://doi.org/10.1002/jemt.20551 MRTEEO 1059-910X
(2008).
Google Scholar
V. V. Tuchin,
“Polarized light interaction with tissues,”
J. Biomed. Opt., 21
(7), 071114 https://doi.org/10.1117/1.JBO.21.7.071114 JBOPFO 1083-3668
(2016).
Google Scholar
R. Graaff et al.,
“Optical properties of human dermis in vitro and in vivo,”
Appl. Opt., 32
(4), 435 https://doi.org/10.1364/AO.32.000435 APOPAI 0003-6935
(1993).
Google Scholar
F. Martelli et al., Light Propagation Through Biological Tissue and Other Diffusive Media: Theory, Solutions, and Validations, 2nd ed.SPIE Press, Bellingham, Washington
(2022). Google Scholar
|
Cartilage
Tissues
Collagen
Light scattering
Rayleigh scattering
Scattering
Anatomy