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.
| Original language | English |
|---|---|
| Article number | e202500089 |
| Journal | Journal of Biophotonics |
| Volume | 18 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2025 |
Keywords
- blood flow
- diffusion irradiation
- laser speckle blood flow imaging
- rodent dorsal window chamber
- subcutaneous vascular thermal effect
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