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. Author manuscript; available in PMC: 2019 Mar 1.
Published in final edited form as: Lasers Surg Med. 2017 Nov 30;50(3):213–221. doi: 10.1002/lsm.22767

Multifunctional in vivo imaging for monitoring wound healing using swept-source polarization-sensitive optical coherence tomography

Kwan Seob Park 1, Woo June Choi 1, Shaozhen Song 1, Jingjiang Xu 1, Ruikang K Wang 1
PMCID: PMC5867210  NIHMSID: NIHMS923413  PMID: 29193202

Abstract

Background and Objective

Wound healing involves a complex and dynamic biological process in response to tissue injury. Monitoring of the cascade of cellular events is useful for wound management and treatment. The aim of this study is to demonstrate the potential of multifunctional polarization-sensitive optical coherence tomography (PS-OCT) to longitudinally monitor the self-healing process in a murine cutaneous wound model.

Materials and Methods

A multi-functional PS-OCT system based on swept source OCT configuration (1310 nm central wavelength) was designed to obtain simultaneously microstructural, blood perfusion and birefringent information of a biological tissue in vivo. A 1-mm-diameter wound was generated in a mouse pinna with a complete biopsy punch. Afterwards, the self-healing process of the injured tissue was observed every week over 6-week period using the multifunctional system to measure changes in the tissue birefringence. Further OCT angiography (OCTA) was used in post data processing to obtain blood perfusion information over the injured tissue.

Results

Three complementary images indicating the changes in anatomical, vascular, and birefringent information of tissue around wound were simultaneously provided from a 3-dimensional (3-D) PS-OCT data set during the wound repair over one month. Specifically, inflammatory and proliferative phases of wound healing were characterized by thickened epidermal tissue (from OCT images) and angiogenesis (from OCT angiography images) around wound. Also, it was observed that the regenerating tissues had highly realigned birefringent structures (from PS-OCT images).

Conclusion

This preliminary study suggests that the proposed multi-functional imaging modality has a great potential to improve the understanding of wound healing through non-invasive, serial monitoring of vascular and tissue responses to injury.

Keywords: Multifunctional imaging, PS-OCT, OCT angiography, wound healing, blood vessels, birefringence, collagen

INTRODUCTION

Since optical coherence tomography (OCT) has been developed in 1991, substantial progress has been made in terms of its imaging speed, resolution, imaging depth, and system sensitivity [1,2]. Benefiting from its non-invasive and non-contact imaging ability of depth-resolved tissue anatomy at a micrometer scale, OCT has demonstrated its usefulness in a variety of medical applications including ophthalmology [3], dermatology [4, 5], dentistry [6], neurology [7], cardiology [8] and gastrointestinal imaging [9].

In recent years, functional extensions to OCT have become an increasingly common strategy to collect supplementary information of the sample under investigation, in addition to its morphological information, for further comprehensive examination. Various technologies are utilized to extend the contrast mechanism of OCT from simply optical scattering contrast to a wide range of modalities, such as blood flow contrast, optical polarization contrast, and mechanical property contrast. The functional extension has enabled OCT to interrogate blood perfusion and blood flow with OCT angiography (OCTA) [1012] and Doppler OCT (DOCT) [13,14], molecular properties with spectroscopic OCT (SOCT) [15,16], or elastic properties of tissues with optical coherence elastography (OCE) [1720]. Up to now, these diverse functional variants of OCT have led to continuous improvement of system development, thereby its increased scope of biomedical applications. Especially, since it is known that disorder in tissue microcirculation is linked to many diseases in dermatology, ophthalmology, and neurology, OCT microvascular imaging has received great attention in the field of biomedical research. OCTA visualized perfused vasculature of microcirculatory tissues without a need for contrast agents, which can be useful in studying diseases where the microvascular morphology changes over time. OCTA enhances motion-contrast of red blood cells (RBCs) by detecting changes in either amplitude or phase, or both of OCT signals to selectively highlight the vessels. Since arguably the first introduction of three-dimensional (3-D) OCTA in 2007 [21], there has been an intense technical advance in methodologies of mapping vascular perfusion, tone, flow, and speed down to capillary level [22].

Polarization-sensitive OCT (PS-OCT) is one of the functional extensions of OCT, providing polarization-sensitive (PS) images as well as structural information regarding the sample [2325]. PS contrast is generated by the changes in polarization of OCT light into optically anisotropic materials whereby the two orthogonal polarization components of propagating light wave are relatively retarded due to birefringence responsible for phenomenon of double refraction. For biological tissues, the polarization change is induced by tissue birefringence, which mainly comes from the distribution of fibrous collagen in the skin. Using the collagen-induced PS contrast, PS-OCT has extended its application in dermatology such as burn depth estimation [26,27] and human scar assessment [28,29]. There are other imaging techniques currently available for assessing skin injuries, for example laser speckle imaging and spatial frequency domain imaging [3034]. However, they are not amenable to investigate depth information of the skin tissue injury.

The collagen in tissues plays an important role in skin wound healing. For example, quantification of the cutaneous wound healing using PS-OCT has been first reported in 2006 [35]. This study indicated that the specific timing of birefringent change in a biopsy punched wound on rabbit pinna is correlated to the healing phase during wound healing, and moreover, the use of drugs affects the specific timing of the change in birefringence. Individually, recent OCTA studies have reported explicit microcirculation dynamics during cutaneous wound healing phase in small animals in vivo [3638]. These two functional information (birefringence and blood flow) is complementary and informative, and therefore, the combination of these two OCT technologies (PS-OCT and OCTA) would be useful for better understanding of the wound healing in tissues. In this paper, hence, we present multifunctional PS-OCT to observe cutaneous wound healing of a mouse ear pinna. Images of structure, birefringence, collagen orientation change, and blood vessels are obtained and analyzed. Although a few of multifunctional PS-OCT studies have been reported to examine birefringence and blood vessels in human skin [3941] and eyes [42,43], no reports have demonstrated assessments in tissue birefringence and microcirculatory response to wound in healing.

SYSTEM SETUP AND METHODS

System design

The system configuration is analogous to typical polarization-maintaining (PM) single mode fiber based swept-source PS-OCT [44]. Figure 1 shows a schematic of the experimental setup. A light source was a MEMS tunable VCSEL swept-laser (Thorlabs, Inc., USA) operating at 1310 nm central wavelength with a sweeping rate of 100 kHz. All of optical fibers used in the system were PM fibers. The light from the source was linearly polarized by a linear polarizer (LP) and become circular polarized light by a quarter wave plate (QWP) installed in sample arm, illuminating the sample. In the reference arm, the linear polarized light passed through another QWP oriented at 22.5 degrees to the incident light. Then retro-reflected light become linear polarized light oriented at 45 degrees to the slow axis of the PM fiber to have same intensity in the slow and fast axis of the PM fiber. Light coming back from both reference and sample arms were recombined and interfered at a polarization maintaining coupler (PMC), and then one routed to a polarization beam splitter1 (PBS1) via circulator and the other, went to a PBS2. Here, optical path length between two beams from the PMC to the PBS1 and the PBS2 were adjusted to have the same fiber length to avoid phase mismatch of the interference signals detected by two balanced photodetectors (BPDs). After that, interference signals detected by each BPD were low pass filtered and sampled by a data acquisition (DAQ) card. The sampling clock is provided by the MZI optical clock module in the laser source, operating at around 450 MS/s. To control the timing of data acquisition and XY galvo scanners, sweep start trigger signal from the laser was used as a trigger for DAQ card and timing-signal for a functional generator controlling the XY scanner. In the PM fibers of reference and sample arms, a polarization cross coupling between the light waves at the fast and slow axis can occur by the imperfection of polarized optics and fiber axis misalignment at the fiber connection interfaces, typically yielding large-amplitude crosstalk signals. Because the polarization crosstalk signals can overlay with OCT signals from the tissue, it deteriorates the final PS-OCT image quality [45]. To solve the crosstalk issue, we extended the length of PM fibers in each arm up to 30 meters that could shift the crosstalk signal band away from the original OCT signals [44]. The sensitivity of the system was measured to be ~103 dB with ~3mW incident light power of the sample and a 30 dB neutral density filter. The spatial resolution of the system was measured to be 22 μm (axial) × 22 μm (lateral).

Figure 1.

Figure 1

Schematic of the PM fiber based PS-OCT system setup. LP: linear polarizer; CIR: polarization maintaining circulator; PMC: polarization maintaining coupler; QWP#: quarter wave plate; PBS#: polarization beam splitter; BPD: balanced photodetector; LPF: low pass filter; DAQ: data acquisition board; FG: functional generator.

Scanning protocol and post-processing of data

In all the experiments, 3-D OCT data was acquired by step-scanning of XY scanners in the sample arm; 450 A-lines were captured along the fast X-axis to obtain one cross-sectional B-scan image and the fast B-scan was 10 times repeated in the same position. The repetitive B-scan manner was then conducted at 450 different locations along the Y-axis, producing a total 4500 B-frames in a cubic dataset. The scanned tissue area was 5 mm × 5 mm in XY direction, corresponding to 11 μm spatial interval of each scan position.

A PS-OCT dataset is composed of two sets of 4500 B-frames, which are horizontal and vertical polarization components detected by two BPDs, respectively. OCTA (vessel) and PS-OCT (reflectivity, phase retardation and relative axis orientation) images are generated by post-processing. In this study, we used optical microangiography (OMAG), a complex signal-based OCTA method to contrast the functional blood vessels within the scanned tissue volume [46,47]. Unlike intensity-based OCTA, OMAG is more sensitive to slow flows. With OCT data obtained at each channel, two blood perfusion images were computed using the OMAG algorithm and averaged to form one OMAG image. Eventually, one 3-D OMAG image set was constructed and then collapsed into a 2-D en face image through maximum intensity projection (MIP). The reflectivity (R), phase retardation (δ), and relative axis orientation (θ) images are obtained using the following relations [48]:

R(z)~AH2(z)+AV2(z), (1)
δ(z)=arctan[AV(z)/AH(z)], (2)
θ=(π-ΔΦ)/2, (3)

where AH and AV are the amplitude of horizontal and vertical channels, and ΔΦ is the phase difference between vertical and horizontal channels.

Wound induction and Imaging

In order to monitor wound healing of the tissue, we used a well-known biopsy punch wound model [36]. Briefly, a hairless young adult mouse (SKH-1E, 23g) was prepared and its right ear pinna was flattened and immobilized on a glass plate using double-sided tape. To induce a wound on the pinna, a punch biopsy was performed on the dorsal side of pinna, yielding a 1-mm-diameter round hole through the tissue. After onset of the wound, then self-healing process of the wounded injury was observed using PS-OCT system at weekly interval over 6 weeks. In every imaging session, the mouse was placed on a heating pad and anesthetized to reduce the body motion during OCT imaging. The wound was gently covered by a 5-mm-diameter rounding cover glass to flatten the tissue surface between which was filled with index-matching mineral oil to avoid hyper-reflection at the glass and tissue surfaces [49,50]. The imaging was performed at a controlled room temperature (~23°C) which maintains the blood flow stable in peripheral vessels in the mouse ear. The experimental protocol was in compliance with federal guidelines for care and handling of small rodents and approved by the Institution Animal Care and Use Committee of the University of Washington, Seattle.

RESULTS

Wound healing is a process of tissue to repair itself after injury. Its healing stages can be categorized by four predictable phases: blood clotting (hemostasis), inflammation, tissue growth (proliferation), and tissue remodeling (maturation) [51]. We have observed the mouse pinna under wound healing for 41 days. Therefore, inflammation and proliferation of 4 phases would be mainly monitored with our multifunctional PS-OCT. In general, PS-OCT provides not only structural images but also phase retardation images and axis orientation images. Furthermore, blood vessel images can be obtained by incorporating OMAG technique into PS-OCT instrument. In Fig. 2, two photographs in a top row show the same mouse pinna on 1-day and 30-day after wound induction. Images along each row are representative multifunctional PS-OCT cross sections obtained from the wound site indicated by the black line in the photographs, showing reflectivity images, corresponding phase retardation images, axis orientation images, and blood vessel images in sequential. The reflectivity image shows anatomical alteration in the tissue after tissue injury. Epidermis (E) and dermis layers (D), blood vessel (V), and cartilage (C) in the tissue of the mouse pinna is observable in the reflectivity images. And blood vessels can be separately visualized in the blood vessel images by OMAG technique. The phase retardation image represents cumulative phase retardation due to the birefringence inside the tissue because the difference in phase shift between two characteristic polarization states of backscattered light from the tissue is altered by the tissue birefringence. The axis orientation image shows the fast axis orientation of the collagen fibers within the tissue, giving a directional information of fibrous collagen in the tissue. The vessel image offers blood perfusion information in the functional vessel.

Figure 2.

Figure 2

Multifunctional PS-OCT imaging of the punch biopsy wound model of a hairless mouse in vivo. The imaging can simultaneously provide reflectivity, phase retardation, relative axis orientation, and vessel blood images of the wound site. Top row: photographs of the same mouse pinna 1 day (left) and 30 days (right) after wound induction. From second panel, left and right columns sequentially show reflectivity, phase retardation, axis orientation, and blood vessel cross-sections of the 1 day and 30 day wound (taken from black solid lines (see top row)), respectively. E: epidermis layer; D: dermis layer; V: vessel; C: auricular cartilage. The white bar is 500 μm. Color scale of phase retardation and relative axis orientation are from 0° to 90° and from −90° to +90°, respectively.

Structural change

Time-course structural changes in wound healing were confirmed from OCT images. Figure 3(a) shows maximum intensity projection images of OCT data sets taken at 0 days and 1, 8, 15, 21, 27, 36, and 41 days after wound induction. Figure 3(b) shows mean intensity projection image of the 3-D OCT dataset obtained on 41 days after wound induction and its cross-sectional images along two orthogonal lines (red and yellow lines). An outer dotted circle presented in the en face image indicates the initial wound area and an inner dotted circle is the border of repairing tissues on day 41. It was observed that the wound was significantly contracted and filled with new tissue (granulation tissue), and concurrently re-epithelialization of the epidermis occurred, providing the generation of new tissue, which is the typical characteristics of the proliferation stage of the wound healing phase. In the XY view of Fig. 3(b), the inner circle is distally-biased to the outer circle, indicating that the tissue growth rate is much faster at the proximal wound site. It is apparent from the generated tissues in the XZ and YZ OCT cross-sections in Fig. 3(b), where white arrows point the wound boundary at day 0. We measured the widths of tissue growth from each white arrow at the right and left sides of the wound, respectively. The measurement was done at the halfway of open wound on each imaging day. Figure 3(d) shows the time-course change in widths of growing tissue at the right and left side of wound, indicating that the tissue width of the right side is two times larger than that on the left side since day 15 post-wounding. This asymmetry in local tissue growth during wound repair is probably due to the geometrical features of peripheral tissues (e.g., the closer to the major branch vessels, much easier for nutrition feeding). Figure 3(c) shows the thickness change of the wound surrounding tissue as a white box in Fig. 3(b), in which the thickness values were averaged. The thickness on 1 day after wounding was sharply increased and then gradually declined with time. Note that although the auricular cartilage gradually grows in wound healing, its regeneration rate is much slower than the tissue regenerations [52].

Figure 3.

Figure 3

Structural changes in the wound area in the mouse pinna with time and reflectivity images taken at 41 days after injury: (a) Maximum intensity projection of reflectivity datasets. (b) En face image at a certain depth and cross-sectional images along red and yellow lines. (c) Tissue thickness changes of the area indicated as a white square in (a) at different time points. (d) Regenerated tissue lengths in the YZ dimensions at different time points. The scale bar is 500 μm.

Time-course in blood vessel networks around ear wound site

OMAG algorithm was used to process the 3D PS-OCT datasets to obtain functional vascular networks within the scanned tissue volume. Figure 4(a) shows MIP images (5mm × 5mm) of the 3-D vasculatures of mouse pinna taken at 0 days and 1, 8, 15, 21, 27, 36, and 41 days after the onset of wound. The field of view (FOV) of the obtained angiogram was 5 × 5 mm2. 1-day image describes the vessel morphological change around the wound that obstructed a branch of major artery and vein just proximal to the bifurcation of the major vein. This induced a rapid increase in flow across the collaterals of the ear pinna, including the readily identifiable arterial vessel (white arrow). From 8 days post-wound, angiogenic capillary sprouts were observed surrounding the wound and the vessel density was gradually diminished during wound repair. The vessel diameter was also increased after injury as shown in Fig. 4(b), meaning that blood perfusion within the tissue area around wound increased. Figure 4(b) shows the changes in diameter of the vessel in a red circle with the times.

Figure 4.

Figure 4

OMAG images of mouse pinna from in vivo PS-OCT dataset at different time points (a) and corresponding changes in vessel diameter (b). FOV of images shown in (a) is 5 × 5 mm2.

Polarization-sensitive OCT images

In addition to structural and vascular information, PS-OCT provides optical anisotropy of birefringent tissue, which is mainly characterized as a phase retardation and an axis orientation. The phase retardation and axis orientation changes in the wounded mouse pinna could be mapped at various dates with the en face mapping of 3D PS dataset at a depth above the cartilage, which are shown in Fig. 5. In Fig. 5, images in two rows from top show this en face mapping of the phase retardation data at 0 to 41 days post-wounding. In appearance, the phase retardation values surrounding wound site (indicated as white stars in Fig. 5) is increased after injury. It seems that the phenomenon of increasing birefringence correlates with the swelling and increased contortion of single collagen shown in inflammation tissues [53]. In addition, the phase retardation values at the regenerated tissues nearby wound site (indicated as a black arrowhead in Fig. 5) are low relative to the surrounding until 21 days, but since then started to be increased with time while the wound being closed. A similar trend was shown in the relative axis orientation images at the bottom row in Fig. 5, in which the directionality of axis orientation around the boundary of wound site has become distinct since 21 days post-wounding. It indicates that the phase retardation may be correlated to both of amount of collagen and the orientation of collagen fibers in the ear pinna dermis [35]. However, the formation of the higher phase retardation across the mouse ear pinna (indicated as white arrows in Fig. 5) might be interesting; with no wound (day 0), the phase retardation distribution is featured like strands, pronounced at the proximal region (right side in Fig. 5). The retardation post-wounding appeared to be stretched out (at day 1, day 8, and day 15) and contracted back to baseline (on day 41). The behavior of phase retardation in the wound-free region is elusive to explain in the current research scope. Images at bottom row are en face relative axis orientation mapping of intermediate depth of the tissue.

Figure 5.

Figure 5

Time-lapse PS-OCT imaging of tissue region covering a tissue wound on the mouse pinna. (a) En face phase retardation map on day 0 to day 41 and (b) en face axis orientation map on day 21 to 41. In Fig. 5(a), after onset of the wound, the increase of phase retardation values in the vicinity of wound (stars and arrows) is visible. However, since day 21, the gradual increment of the phase retardation and the optic axis vales (arrow heads) is also seen in the rim of wound (re-grown tissue) as the wound is closing. FOV of all images is 5 × 5 mm2. The color scale of the phase retardation and the relative axis orientation are ranged from 0° to 75° and from −90° to +90°, respectively.

DISCUSSION AND CONCLUSIONS

We have demonstrated a multifunctional imaging for monitoring wound healing in the mouse pinna. This work is a preliminary study on multifunctional imaging application of PS-OCT for wound healing. After generating the 1-mm-diameter wound in the mouse pinna with a complete biopsy punch, we observed over 6 weeks structural and vascular alterations surrounding the wound area as well as anisotropic tissue variations using a swept source PS-OCT system, spanning inflammation and proliferation stages of wound healing. When the tissues are damaged, usually blood clotting (hemostasis) occurs to the injured site and followed by inflammation to initiate tissue repair. As the symptoms of the inflammation, thickened epidermal tissue (tissue swelling) and vasodilation and its resulting increased blood perfusion were manifested in OCT and OMAG images on a 1-day post-wounding (Figs. 3 and 4), which responses are similar to injury with the previous investigations [37,54,55]. Afterwards, the proliferative phase was observable through the wound with newly grown tissue (granulation tissue), into which new networks of blood vessels develop, a process known as angiogenesis from OMAG images after one-week post-wounding. Moreover, PS-OCT images showed the increase of the phase retardation and highly oriented collagen direction in the granulation tissue since three-weeks post-wounding. The increment in these birefringence properties is most likely due to deposition and realignment of collagen in the regenerated tissue (see Fig. 5). In Fig. 3, we showed asymmetric tissue growth during wound healing. The proximal tissue was grown faster. However, the accurate grown direction of the fastest grown tissue was right side below the image. Interestingly, this fastest growth direction is consistent with the direction for which the pattern like strand heads as shown in Fig. 5. It is not clear which one of this pattern or geometrical vessel distribution surrounding the wound is actively involved in anisotropic tissue growth. However, this could be investigated in the future study using PS-OCT.

For visualizing features provided by PS-OCT, we measured the phase retardation and the optic axis at a certain depth (above auricular cartilage) below the mouse pinna surface. We observed that the phase retardation value was notably increased in the tissue area around the wound after wound induction as shown in Fig. 5(a). However, this increase may be due to either the change in a local birefringence or diattenuation within the tissues, or both. Direct measurements of the local birefringence and the diattenuation [5659] are necessary to identify the origin of the retardation change. Since PS-OCT system used in this study utilized a single input polarization state with fiber optics, it is not possible to fully measure polarization properties, which makes accurate analysis of the obtained PS-OCT signal difficult. Future study is warranted to employ PS-OCT with two input polarization states to accurately measure a depth-localized phase retardation that is independent of the tissue diattenuation.

In summary, we observed and analyzed wound healing of the tissue in the mouse pinna with multiple information including structural changes (OCT image), birefringence distribution and orientation changes of collagen structure (PS image), and vessel network images. The results indicate that multiple complementary information may offer a chance to see a more comprehensive picture of wound healing. We also believe that the multifunctional imaging approach of PS-OCT would be useful for dermatology such as tissue aging study, drug development for wound healing and cosmetic industry.

Acknowledgments

This work was supported in part by research grants received from the National Institutes of Health (R01EB009682 and R01HL093140).

Footnotes

Disclosure statement: The authors state no financial conflict of interest on this study.

Disclosure

The authors state no conflict of interest.

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