Deep Learning-Based OCT Segmentation for Stiffness Quantification in Evaluating Low-Level Laser Therapy for Wound Healing

IF 2 3区物理与天体物理 Q3 BIOCHEMICAL RESEARCH METHODS

Journal of Biophotonics Pub Date : 2026-06-07 DOI:10.1002/jbio.70291

Gilang Titah Ramadhan, Yih-Kuen Jan, Ben-Yi Liau, Hsu-Tang Cheng, Wei-Cheng Shen, Chien-Cheng Tai, Sheena Christabel Pravin, Kiruthika Venkataramani, Winson Chiu-Chun Lee, Congo Tak Shing Ching, Chi-Wen Lung

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Abstract

Background

This study evaluated the short-term biomechanical response of wound tissue following low-level laser therapy (LLLT) by examining changes in skin stiffness, a surrogate biomechanical indicator of short-term tissue response, across different limb regions.

Methods

A 660 nm LLLT protocol was applied to wound sites. Skin stiffness was quantified using optical coherence tomography (OCT) combined with an air-jet indentation system, enabling non-contact measurement of tissue deformation. For accurate layer-specific assessment, a U-Net–based model was employed to automate OCT image segmentation.

Results

The automated segmentation by the U-Net model achieved a segmentation accuracy of 92%, facilitated precise segmentation of skin layers. LLLT significantly reduced skin stiffness after treatment, indicating an acute modulation of tissue compliance.

Conclusion

Short-duration LLLT reduces skin stiffness immediately post-treatment, indicating its potential as a non-invasive intervention to modulate the biomechanical environment of wounds.

Trial Registration: ClinicalTrials.gov identifier: NCT07177274

Abstract Image

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基于深度学习的OCT分割用于评估低水平激光治疗伤口愈合的刚度量化。

背景：本研究通过检测不同肢体区域皮肤硬度的变化来评估低水平激光治疗（LLLT）后伤口组织的短期生物力学反应，皮肤硬度是短期组织反应的替代生物力学指标。方法：采用660nm的LLLT协议对创面进行处理。使用光学相干断层扫描（OCT）结合喷气压痕系统对皮肤刚度进行量化，从而实现非接触测量组织变形。为了准确的分层评估，采用基于u - net的模型自动分割OCT图像。结果：U-Net模型自动分割准确率达92%，便于对皮肤层进行精确分割。治疗后，LLLT显著降低了皮肤僵硬，表明组织顺应性的急性调节。结论：短时间LLLT在治疗后立即降低皮肤僵硬，表明其作为一种非侵入性干预措施调节伤口的生物力学环境的潜力。试验注册：ClinicalTrials.gov标识符：NCT07177274。

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来源期刊

Journal of Biophotonics 生物-生化研究方法

CiteScore

5.70

自引率

7.10%

发文量

248

审稿时长

1 months

期刊介绍： The first international journal dedicated to publishing reviews and original articles from this exciting field, the Journal of Biophotonics covers the broad range of research on interactions between light and biological material. The journal offers a platform where the physicist communicates with the biologist and where the clinical practitioner learns about the latest tools for the diagnosis of diseases. As such, the journal is highly interdisciplinary, publishing cutting edge research in the fields of life sciences, medicine, physics, chemistry, and engineering. The coverage extends from fundamental research to specific developments, while also including the latest applications.