Department of Electrical EngineeringNational Cheng Kung University Tainan 70101 Taiwan.
Division of Plastic and Reconstructive SurgeryNational Cheng Kung University Hospital Tainan 70428 Taiwan.
IEEE J Transl Eng Health Med. 2024 May 9;12:468-479. doi: 10.1109/JTEHM.2024.3399232. eCollection 2024.
Blood circulation is an important indicator of wound healing. In this study, a tissue oxygen saturation detecting (TOSD) system that is based on multispectral imaging (MSI) is proposed to quantify the degree of tissue oxygen saturation (StO2) in cutaneous tissues.
A wound segmentation algorithm is used to segment automatically wound and skin areas, eliminating the need for manual labeling and applying adaptive tissue optics. Animal experiments were conducted on six mice in which they were observed seven times, once every two days. The TOSD system illuminated cutaneous tissues with two wavelengths of light - red ([Formula: see text] nm) and near-infrared ([Formula: see text] nm), and StO2 levels were calculated using images that were captured using a monochrome camera. The wound segmentation algorithm using ResNet34-based U-Net was integrated with computer vision techniques to improve its performance.
Animal experiments revealed that the wound segmentation algorithm achieved a Dice score of 93.49%. The StO2 levels that were determined using the TOSD system varied significantly among the phases of wound healing. Changes in StO2 levels were detected before laser speckle contrast imaging (LSCI) detected changes in blood flux. Moreover, statistical features that were extracted from the TOSD system and LSCI were utilized in principal component analysis (PCA) to visualize different wound healing phases. The average silhouette coefficients of the TOSD system with segmentation (ResNet34-based U-Net) and LSCI were 0.2890 and 0.0194, respectively.
By detecting the StO2 levels of cutaneous tissues using the TOSD system with segmentation, the phases of wound healing were accurately distinguished. This method can support medical personnel in conducting precise wound assessments. Clinical and Translational Impact Statement-This study supports efforts in monitoring StO2 levels, wound segmentation, and wound healing phase classification to improve the efficiency and accuracy of preclinical research in the field.
血液循环是伤口愈合的重要指标。本研究提出了一种基于多光谱成像（MSI）的组织氧饱和度检测（TOSD）系统，用于量化皮肤组织的组织氧饱和度（StO2）程度。
使用伤口分割算法自动分割伤口和皮肤区域，无需手动标记，并应用自适应组织光学。在六只小鼠上进行了动物实验，每两天观察一次，共观察七次。TOSD 系统用两种波长的光（[Formula: see text]nm 和近红外光[Formula: see text]nm）照射皮肤组织，并使用单色相机拍摄的图像计算 StO2 水平。基于 ResNet34 的 U-Net 的伤口分割算法与计算机视觉技术相结合，以提高其性能。
动物实验表明，伤口分割算法的 Dice 评分达到 93.49%。TOSD 系统确定的 StO2 水平在伤口愈合的各个阶段差异显著。StO2 水平的变化在激光散斑对比成像（LSCI）检测到血流变化之前就被检测到了。此外，从 TOSD 系统和 LSCI 提取的统计特征被用于主成分分析（PCA），以可视化不同的伤口愈合阶段。具有分割（基于 ResNet34 的 U-Net）和 LSCI 的 TOSD 系统的平均轮廓系数分别为 0.2890 和 0.0194。
通过使用具有分割的 TOSD 系统检测皮肤组织的 StO2 水平，可以准确区分伤口愈合的阶段。这种方法可以支持医务人员进行精确的伤口评估。
临床和转化影响声明-本研究支持监测 StO2 水平、伤口分割和伤口愈合阶段分类的努力，以提高该领域临床前研究的效率和准确性。
