A heat transfer model of skin tissue for the detection of lesions: sensitivity analysis

A heat transfer model of skin tissue for the detection of lesions: sensitivity analysis
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DOI:
10.1088/0031-9155/55/19/020
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发表时间:
2010-10-07
影响因子:
3.5
通讯作者:
Herman, C.
Herman, C.
中科院分区:
工程技术2区
文献类型:
--
作者:
Cetinguel, M. Pirtini;Herman, C.

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在本文中,我们研究了皮肤层的瞬态热响应,以确定表面温度分布在多大程度上反映了地下结构的性质,如良性或恶性病变。具体而言,我们使用多层计算模型进行了详细的敏感性分析,以解释表面温度分布的变化是热物理性质、血液灌注率、代谢产热和皮肤层厚度变化的函数。这些属性可能因人而异,或取决于位置、外部和内部影响,在某些情况下,文献中没有准确的属性数据。因此,这些数据中的不确定性可能潜在地影响临床环境中病变解释/诊断的准确性。在本研究中,相关参数在特征生理范围内变化,并量化表面温度响应的差异。观察到这些参数的变化对表面温度分布的影响很小。利用该多层模型进一步分析了瞬态热响应对不同损伤尺寸的敏感性。这项工作验证了用热成像系统检测瞬态热响应的想法,目的是识别病变。本文中报告的建模工作和敏感性分析是目前正在进行的一项综合研究工作的一部分,该研究工作涉及皮肤幻影模型的实验以及临床环境中患者的测量。正在进行的临床试验的一个初步结果也包括在内,以证明所提出的方法的可行性。
In this paper, we study the transient thermal response of skin layers to determine to which extent the surface temperature distribution reflects the properties of subsurface structures, such as benign or malignant lesions. Specifically, we conduct a detailed sensitivity analysis to interpret the changes in the surface temperature distribution as a function of variations in thermophysical properties, blood perfusion rate, metabolic heat generation and thicknesses of skin layers, using a multilayer computational model. These properties can vary from individual to individual or depend on location, external and internal influences, and in certain situations accurate property data are not available in the literature. Therefore, the uncertainties in these data could potentially affect the accuracy of the interpretation/diagnosis of a lesion in a clinical setting. In this study, relevant parameters were varied within characteristic physiological ranges, and differences in the surface temperature response were quantified. It was observed that variations in these parameters have a small influence on the surface temperature distribution. Analysis using this multilayer model was further conducted to determine the sensitivity of transient thermal response to different lesion sizes. This work validates the idea of examining the transient thermal response obtained using a thermal imaging system with the objective of lesion identification. The modeling effort and the sensitivity analysis reported in this paper comprise a portion of a comprehensive research effort involving experimentation on a skin phantom model as well as measurements on patients in a clinical setting, that are currently underway. One of the preliminary results from the ongoing clinical trial is also included to demonstrate the feasibility of the proposed approach.