基于光学相干断层成像技术量化评估皮肤癌的二维傅里叶分形维数

发布时间：2018-04-18 08:37

本文选题：皮肤肿瘤 + 分形维度　；参考：《生物医学工程研究》2017年04期

【摘要】：光学相干断层成像技术(optical coherence tomography,OCT)可用于皮肤组织的诊断。从OCT图像提取的定量特征变量能够用作皮肤肿瘤诊断的指标。在这些定量特征变量中,分形维数能够表征皮肤组织的结构变化,从而能够提供有效的方法区分诊断皮肤肿瘤。本研究应用OCT获取了恶性黑色素瘤,基底细胞癌和色素痣OCT图像;基于傅里叶分析,从OCT图像中提取了二维分形维数;应用统计分析方法,分析各皮肤组织的分形维数的差异性。研究结果表明,与恶性黑素瘤相比,基底细胞癌和色素痣中的二维分形维数的显着减少;二维傅里叶分析能够提供一种简单易行的方法从OCT图像中提取分形维数,用以表征恶性黑色素瘤、基底细胞癌和色素痣。
[Abstract]:Optical coherence tomography (coherence) can be used in the diagnosis of skin tissue.The quantitative feature variables extracted from OCT images can be used as indicators for the diagnosis of skin tumors.Among these quantitative characteristic variables, fractal dimension can represent the structural changes of skin tissue, thus providing an effective method for the diagnosis of skin tumors.In this study, OCT images of malignant melanoma, basal cell carcinoma and nevus were obtained by OCT, 2D fractal dimension was extracted from OCT image based on Fourier analysis, and statistical analysis method was used.The difference of fractal dimension of skin tissue was analyzed.The results showed that the two-dimensional fractal dimension in basal cell carcinoma and nevus was significantly reduced compared with malignant melanoma and that two-dimensional Fourier analysis could provide a simple and feasible method to extract fractal dimension from OCT images.Used to characterize malignant melanoma, basal cell carcinoma and nevus pigmentosa.
【作者单位】：宁波工程学院安全工程学院;萨马拉国立研究大学激光与生物技术系;
【基金】：王伟明基金资助项目(2017011) 宁波市自然科学基金资助项目(2017A610239) 俄罗斯联邦政府教育与科学部基金资助项目
【分类号】：R739.5

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