A Novel Diffusion Irradiation Method to Monitor Thermal Effects on Deep Subcutaneous Vessels Using Laser Speckle Contrast Imaging.

Xu Sang, Liushuan Niu, Zhenjia Xiang, Dong Li, Bin Chen, Qiang Li
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Abstract

This study aims to investigate the effects of upper skin layers on laser light propagation and heat diffusion during laser surgery for vascular dermatosis. Using a rat dorsal window chamber model, deep-situated vessels are irradiated by a transcutaneous therapeutic laser, while blood flow changes are monitored using deep learning-enhanced laser speckle contrast imaging (LSCI) on the contralateral side. In vivo experiments on 20 Sprague Dawley rats were conducted to evaluate the thermal response of subcutaneous vessels at varying depths to long-pulsed 1064 nm Nd:YAG laser treatment under different parameters. Optimal laser settings are identified based on vessel morphology and blood flow velocity, ensuring effective thermal absorption for deeper vessels. By integrating LSCI with deep learning denoising techniques, this study presents a novel strategy for monitoring laser-induced effects on deep subcutaneous vessels, with potential applications in optimizing treatment strategies for vascular lesions.

激光散斑对比成像用于监测深皮下血管热效应的扩散照射新方法。
本研究旨在探讨血管性皮肤病激光手术中皮肤表层对激光传播和热扩散的影响。使用大鼠背窗室模型,经皮治疗激光照射位于深部的血管,同时使用深度学习增强激光散斑对比成像(LSCI)监测对侧血流变化。以20只Sprague Dawley大鼠为实验对象,研究不同参数下长脉冲1064 nm Nd:YAG激光对不同深度皮下血管的热响应。根据血管形态和血流速度确定最佳激光设置,确保深层血管的有效热吸收。通过将LSCI与深度学习去噪技术相结合,本研究提出了一种新的策略来监测激光对深皮下血管的影响,并有可能应用于优化血管病变的治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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