考虑皮肤特异性数据的激光-组织相互作用模拟预测激光照射过程中的光热损伤病变

IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Hyo-Jin Kim, Seung-Hoon Um, Y. Kang, Minwoo Shin, H. Jeon, Beop-Min Kim, Deukhee Lee, K. Yoon
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引用次数: 1

摘要

本研究旨在建立一个模拟模型,该模型考虑皮肤特异性,以预测皮肤激光治疗过程中的光热损伤。为了构建计算模型,从光学相干层析成像中获得表面几何信息,并通过分光光度法确定皮肤的吸收系数。利用基于蒙特卡罗方法的光传播模型计算了皮肤介质内部光剂量的分布。采用时域有限差分模型对激光吸收引起的光热响应进行建模,求解生物传热方程。模拟模型预测的损伤深度和面积与在离体猪皮肤上测量的结果进行了比较。目前的模拟模型给出了可接受的预测,在深度和面积上的差异约为~ 10%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Laser-tissue interaction simulation considering skin-specific data to predict photothermal damage lesions during laser irradiation
This study aimed to develop a simulation model that accounts for skin-specific properties in order to predict photothermal damage during skin laser treatment. To construct a computational model, surface geometry information was obtained from an optical coherence tomography image, and the absorption coefficient of the skin was determined through spectrophotometry. The distribution of the internal light dose inside the skin medium was calculated using the light propagation model based on the Monte Carlo method. The photothermal response due to the absorption of laser light was modeled by a finite difference time domain model to solve the bio-heat transfer equation. The predicted depth and area of the damaged lesions from the simulation model were compared to those measured in ex vivo porcine skin. The present simulation model gave acceptable predictions with differences of approximately ∼10% in both depth and area.
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来源期刊
Journal of Computational Design and Engineering
Journal of Computational Design and Engineering Computer Science-Human-Computer Interaction
CiteScore
7.70
自引率
20.40%
发文量
125
期刊介绍: Journal of Computational Design and Engineering is an international journal that aims to provide academia and industry with a venue for rapid publication of research papers reporting innovative computational methods and applications to achieve a major breakthrough, practical improvements, and bold new research directions within a wide range of design and engineering: • Theory and its progress in computational advancement for design and engineering • Development of computational framework to support large scale design and engineering • Interaction issues among human, designed artifacts, and systems • Knowledge-intensive technologies for intelligent and sustainable systems • Emerging technology and convergence of technology fields presented with convincing design examples • Educational issues for academia, practitioners, and future generation • Proposal on new research directions as well as survey and retrospectives on mature field.
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