皮肤病变的体内三维厚度测量

A. Hani, Hurriyatul Fitriyah, E. Prakasa, V. Asirvadam, S. Hussein, M. A. Azura
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引用次数: 8

摘要

厚度是皮肤病变的形态学特征之一,反映了皮肤病变的严重程度。皮肤科医生使用触觉检查,通过感觉病变与周围正常皮肤的变化来主观评估厚度。本文提出了一种客观测量皮肤病变异常升高的方法。使用三维条纹投影扫描仪获得病变的三维表面轮廓。病灶的厚度定义为病灶表面相对于病灶基底的高度。病灶基底使用3D表面插值技术从邻近的正常皮肤确定。病变高度在三维空间网格中确定,方法是在所有相应位置从插值的病变基底轮廓中减去病变表面轮廓的高度,从而将病变厚度作为高度的平均值。采用三维表面样品对算法进行了验证,误差为0.031 mm±SD 0.014 mm(95%置信区间为±0.0011 mm)。验证后的算法已成功应用于450个银屑病斑块的厚度测量,这些斑块的严重程度从轻度到重度,厚度从0.021 mm到0.883 mm不等。从测量的厚度,然后使用无监督K-means聚类确定银屑病面积和严重程度指数(PASI)厚度得分0到4。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In vivo 3D thickness measurement of skin lesion
Thickness is one of the morphological characteristic of skin lesion that represents severity condition. Dermatologists use tactile inspection to subjectively assess the thickness by feeling the alteration of the lesion from its surrounding normal skin. In this paper, a method to objectively measure the abnormal elevation occurs in skin lesions is presented. A 3D fringe projection scanner is used to obtain 3D surface profile of the lesion. Thickness of a lesion is defined as the elevations of lesion surface from its lesion base. The lesion base is determined from the neighboring normal skin using a 3D surface interpolation technique. The lesion elevations are determined in a 3D space grid by subtracting the elevation of the lesion surface profile from the interpolated lesion base profile at all corresponding locations thus giving lesion thickness as the average value of the elevations. The algorithm has been validated using 3D surface samples with an error of 0.031 mm ± SD 0.014 mm (95% Confidence Interval: ±0.0011 mm). The validated algorithm has been successfully applied to measure thicknesses of 450 psoriasis plaque lesions with severity level ranging from mild to severe and thickness ranging from 0.021 mm to 0.883 mm. From the measured thicknesses, Psoriasis Area and Severity Index (PASI) thickness scores 0 to 4 are then determined using unsupervised K-means Clustering.
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