用于皮肤病激光治疗的脉冲光热辐射模型

胡飞凡; 徐晨辰; 张浩; 李东; 陈斌; 应朝霞

doi:10.7652/xjtuxb202404012

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用于皮肤病激光治疗的脉冲光热辐射模型

—————————————————————— | 更新时间：2025-07-09

- 用于皮肤病激光治疗的脉冲光热辐射模型
- A Model of Pulsed Photothermal Radiation for the Laser Treatment of Dermatological Diseases
- 西安交通大学学报 2024年58卷第4期页码：127-137
- 作者机构：
  
  1. 西安交通大学动力工程多相流国家重点实验室,西安,710049
  2. 陕西省皮肤病防治所,西安,725099
- 作者简介：
  
  : 2023-05-17。作者简介: 胡飞凡(1998—),男,硕士生
  李东(通信作者),男,副教授,博士生导师。基金项目: 国家自然科学基金资助项目(52276084)
- 基金信息：
  
  : 2023-05-17。作者简介: 胡飞凡(1998—),男,硕士生;李东(通信作者),男,副教授,博士生导师。基金项目: 国家自然科学基金资助项目(52276084)
- DOI：10.7652/xjtuxb202404012
  中图分类号： TK124
- 网络首发：2024-04-10，
  
  纸质出版：2024
- 稿件说明：
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胡飞凡, 徐晨辰, 张浩, 等. 用于皮肤病激光治疗的脉冲光热辐射模型[J]. 西安交通大学学报, 2024,58(4):127-137.

HU Feifan, XU Chenchen, ZHANG Hao, et al. A Model of Pulsed Photothermal Radiation for the Laser Treatment of Dermatological Diseases[J]. 2024, 58(4): 127-137.
胡飞凡, 徐晨辰, 张浩, 等. 用于皮肤病激光治疗的脉冲光热辐射模型[J]. 西安交通大学学报, 2024,58(4):127-137. DOI： 10.7652/xjtuxb202404012.

HU Feifan, XU Chenchen, ZHANG Hao, et al. A Model of Pulsed Photothermal Radiation for the Laser Treatment of Dermatological Diseases[J]. 2024, 58(4): 127-137. DOI： 10.7652/xjtuxb202404012.

摘要

针对皮肤病激光治疗过程中生物组织内部温度分布与形态测量困难、医生凭借经验选取治疗参数导致疗效不佳等问题

建立了利用脉冲光热辐射法(PPTR)重建皮肤结构

并智能化选取激光参数开展辅助治疗的理论模型。采用基于自定义截断参数选取方法的截断奇异值分解法、基于L曲线法选取正则化参数的Tikhonov正则化法和给定迭代次数的共轭梯度法这3种逆算法进行仿真计算

建立误差评估函数

分析对比了不同表皮层厚度、患病层厚度及深度的重建效果

同时制作皮肤仿体进行离体实验

并以此为依据开展了鲜红斑痣临床治疗的应用研究。结果表明:3种逆算法的综合性能评价指数由高到低依次为0.066、0.082、0.126

验证了其在鲜红斑痣血管层常见深度范围内的重建效果均能保持较高精度; 体外实验结果和临床应用验证了所提出的PPTR模型可用于求解表皮、病变层等组织的温升分布、厚度、位置等信息

且重建结果的精度能够满足治疗需求。该模型及研究结果可为激光治疗过程中参数的选取提供定量化指导。

Abstract

A theoretical model has been established to address the difficulties in measuring the internal temperature distribution and morphology of biological tissues during the laser treatment of dermatological diseases

as well as the problem of suboptimal therapeutic outcomes caused by doctors' selection of treatment parameters based on their experience. This model utilizes pulsed photo-thermal radiation(PPTR)to reconstruct the skin structure and enable intelligent laser parameter selection

thereby assisting in laser treatment. Three inverse algorithms

namely

truncated singular value decomposition(CTP-TSVD)with a custom truncated parameter selection method

Tikhonov regularization(L-Tikhonov)with the L-curve method for selecting the regularization parameter

and conjugate gradient with a predetermined number of iterations(GNI-CG)were used for simulation calculations. An error evaluation function was established to analyze and compare the reconstruction effects of varying epidermal layer thickness

lesion layer thickness

and depth under the three algorithms. Additionally

skin mimics were fabricated for ex vivo experiments. Based on these experiments

a study was conducted to explore the application of clinical treatment for nevus erythematosus. The results demonstrated that the comprehensive performance evaluation indices of the three algorithms

namely L-Tikhonov

GNI-CG

and CTP-TSVD

were 0.066

0.082 and 0.126 respectively

in descending order. This finding confirms that the three inverse algorithms are capable of maintaining a high level of accuracy in reconstructing the vascular layer of nevus erythematosus within the typical depth range. The results of in vitro experiments and the clinical applications demonstrate that the PPTR model proposed in this study has the potential to address various aspects of the epidermis

lesion layer

and other tissues

including temperature rise distribution

thickness

and location. The accuracy of the reconstruction results can meet the treatment needs. These findings provide some quantitative guidance for the selection of parameters during laser treatment procedures.

关键词

Keywords

references

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