中国激光, 2024, 51 (3): 0307110, 网络出版: 2024-01-22  

基于光纤型偏振敏感光学相干层析成像的猪皮烧伤多参量成像分析

Multi‑Parameter Imaging Analysis of Pig Skin Burns Based on Fiber Polarization‑Sensitive Optical Coherence Tomography
作者单位
1 佛山科学技术学院物理与光电工程学院粤港澳智能微纳光电技术联合实验室,广东 佛山 528225
2 广东唯仁医疗科技有限公司,广东 佛山 528000
3 佛山科学技术学院机电工程与自动化学院,广东 佛山 528000
4 广州市第一人民医院烧伤整形美容与创面修复科,广东 广州 510180
5 天津大学电气自动化与信息工程学院天津市过程检测与控制重点实验室,天津 300072
6 解放军总医院第一医学中心激光医学科,北京 100853
7 天津恒宇医疗科技有限公司,天津 300308
8 哈尔滨医科大学附属第二医院教育部心肌缺血重点实验室,黑龙江 哈尔滨 150001
摘要
皮肤烧伤是一种常见的皮肤疾病,对皮肤烧伤程度的判别对于后续的治疗具有重要意义。光学相干层析技术是一种具有非侵入性、无损伤性和高分辨率等特点的光学检测技术。偏振敏感光学相干层析成像(PS-OCT)具有传统光学相干层析成像没有的双折射信息对比度,能够对病变皮肤进行高分辨率高对比度的实时三维成像。为推动PS-OCT在烧伤诊断中的临床应用,发展了一种简单紧凑且灵活高效的基于扫频光源、单模光纤和圆偏振态输入的PS-OCT技术,对离体猪皮组织进行了烧伤成像研究,并通过直方图相关性算法获得了图像的差异性量化指标。实验结果表明,与正常的皮肤组织相比,烧伤皮肤组织的胶原蛋白受高温影响后产生了明显的双折射变化。利用偏振均匀度(DOPU)、累积相位延迟(CPR)、Stokes偏振参数等,可以明显观察到烧伤后的皮肤组织变化。研究表明,该PS-OCT技术在烧伤诊断中具有很大的应用潜力,可以辅助医生进行烧伤程度的判断。
Abstract
Objective

Burns are a common type of skin injury. Diagnosing the degree of the burn is very important for proper treatment. Optical coherence tomography is a non-invasive, non-destructive, and high-resolution optical detection technology. Polarization-sensitive optical coherence tomography (PS-OCT) provides a comparison of birefringence information compared to the conventional structural OCT modality. It can be used for the high-resolution, high-contrast, real-time three-dimensional imaging of damaged skin. In this work, a simple, compact, flexible, and efficient PS-OCT system is developed based on single-mode fiber optics with a circularly polarized single-input state as the swept source. The high-performance swept source enables a high imaging speed and long coherence length for the OCT imaging. The PS-OCT system is based on single-mode fiber optics and features low polarization crosstalk, low polarization mode dispersion, and a compact size. A multiple-parameter analysis shows that the PS-OCT system has the potential to provide accurate clinical assessments of skin burns.

Methods

We construct a swept-source PS-OCT system with single-mode fiber optics. By tuning the polarization controllers step by step, a single circular polarization input in the sample arm and OCT signal detection with orthogonal polarization channels are achieved. Using straightforward data processing algorithms, the PS-OCT system has the capability to acquire various parameters, including the structural intensity, degree of polarization uniformity (DOPU), cumulative phase retardation (CPR), and Stokes state. Given the anatomical and physiological resemblance between pig skin and human skin, ex vivo pig skin is selected as the imaging subject for the skin burn model in this study. To simulate the burns, eight groups of pig skin samples are subjected to a circular thermal injury with a diameter of 10 mm using a temperature-controlled wound burning device at 90 °C for a duration of 30 s. We compare the multi-parameter PS-OCT images of the normal and burned pig skin samples. According to the image histogram, the Bhattacharyya distance is calculated to demonstrate the capability of the PS-OCT system for skin burn evaluation.

Results and Discussions

In the structural OCT images, the difference between the normal and burned pig skin samples is not obvious (Fig.3). As shown in the cross-sectional structural OCT images, the total scattering intensity has similar values in the regions of the normal and burned skin samples. In the en-face structural images, the boundary of the burned skin region is clear, and the pattern of the skin texture is different. Compared to the structural images, the polarized images show obvious differences between the normal and burned pig skin samples in terms of the Stokes state, DOPU, and cumulative phase retardation (Fig.4). In the region of the burned skin, the color of the Stokes state image becomes relatively uniform, the value of the DOPU image is relatively large, and the CPR value is relatively low. The en-face images demonstrate that the structural intensity values of the normal and burned pig-skin regions are very similar, whereas the DOPU, CPR, and Stokes values have relatively large differences. The histograms of these en-face images further verify that polarized images are more useful in distinguishing normal and burned skin (Fig.5 and Fig.6). Using to the histograms, we calculate the Bhattacharyya distance to quantify the difference in the images between normal and burned pig skin (Fig.7). If the images are very similar, the Bhattacharyya distance is close to 0. If the images are very different, the Bhattacharyya distance is close to 1. For the 8 groups of skin burn experiments, the average Bhattacharyya distance of the structural images is 0.184, while the values for the DOPU images, CPR images, and Stokes images are 0.917, 0.744, and 0.839, respectively. A quantification analysis demonstrates that the difference between normal and burned skin in the traditional OCT structural images is small, while the polarized images show a significant difference in the burned skin. The PS-OCT system used in this study adopts a design based on single-mode fiber optics. However, the birefringence characteristics of single-mode fiber optics are easily affected by environmental factors such as bending stress and temperature changes. Therefore, once we have completed the steps to calibrate the polarization state of the PS-OCT system, the optical fibers in the system must not be touched. In an actual work environment, the polarization state of the imaging system can be maintained for several days without significant changes, thus meeting the needs of most clinical and life science applications. In the future, we will further optimize the optical design of the PS-OCT system to improve its polarization stability. In addition, the PS-OCT imaging system shows that a polarized image of pig skin tissue exhibits an obvious change after being burned. The mechanism of the change in the polarization state mainly comes from the irreversible denaturation of the collagen and elastic fibers in the skin tissue after heating. However, in this study, only a small amount of ex vivo pig skin is used as the model for a skin burn. The number and type of experimental samples are insufficient. In addition, the ex vivo skin samples have lost their biological tissue activity characteristics. In the future, we will increase the number and type of skin burn models. Furthermore, we also need to investigate living animal samples and skin burn patients to promote the application of PS-OCT imaging in the diagnosis and treatment of skin burns.

Conclusions

A flexible and efficient PS-OCT system based on single-mode fiber optics and a single-state input is built to image ex vivo pig skin for skin-burn investigations. The system can provide structural images and three polarized images (DOPU, CPR, and Stokes state) of skin tissue. We compare images of normal and burned skin, and perform histogram statistical analysis to illustrate the distribution of these parameters. Moreover, we calculate the Bhattacharyya distance as a histogram similarity coefficient to further quantify the imaging performance. The results show that there are significant birefringence changes in the burned skin tissue compared to the normal skin tissue, which are mainly due to the denaturation of the collagen and elastic fibers after heating. The changes in burned skin can be clearly observed using the polarization parameters (DOPU, CPR, and Stokes state). These polarized OCT images exhibit enhanced contrast and more pronounced distinctions for burned skin compared to conventional structural OCT images. This research demonstrates the promising potential of PS-OCT technology for skin-burn diagnosis.

许景江, 张轶星, 蓝公仆, 杨荣华, 秦嘉, 安林, 谭海曙, 任尚杰, 邱海霞, 赵士勇, 贾海波, 于波. 基于光纤型偏振敏感光学相干层析成像的猪皮烧伤多参量成像分析[J]. 中国激光, 2024, 51(3): 0307110. jingjiang Xu, Yixing Zhang, Gongpu Lan, Ronghua Yang, Jia Qin, Lin An, Haishu Tan, Shangjie Ren, Haixia Qiu, Shiyong Zhao, Haibo Jia, Bo Yu. Multi‑Parameter Imaging Analysis of Pig Skin Burns Based on Fiber Polarization‑Sensitive Optical Coherence Tomography[J]. Chinese Journal of Lasers, 2024, 51(3): 0307110.

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