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Journal of Biomedical Optics

Texture analysis of collagen second-harmonic generation images based on local difference local binary pattern and wavelets differentiates human skin abnormal scars from normal scars
Author(s): Yao Liu; Xiaoqin Zhu; Zufang Huang; Jianyong Cai; Rong Chen; Shuyuan Xiong; Guannan Chen; Haishan Zeng
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Paper Abstract

Quantitative methods for noninvasive diagnosis of scars are a challenging issue in medicine. This work aims to implement a texture analysis method for quantitatively discriminating abnormal scars from normal scars based on second-harmonic generation (SHG) images. A local difference local binary pattern (LD-LBP) operator combined with a wavelet transform was explored to extract diagnosis features from scar SHG images that were related to the alteration in collagen morphology. Based on the quantitative parameters including the homogeneity, directional and coarse features in SHG images, the scar collagen SHG images were classified into normal or abnormal scars by a support vector machine classifier in a leave-one-out cross-validation procedure. Our experiments and data analyses demonstrated apparent differences between normal and abnormal scars in terms of their morphological structure of collagen. By comparing with gray level co-occurrence matrix, wavelet transform, and combined basic local binary pattern and wavelet transform with respect to the accuracy and receiver operating characteristic analysis, the method proposed herein was demonstrated to achieve higher accuracy and more reliable classification of SHG images. This result indicated that the extracted texture features with the proposed method were effective in the classification of scars. It could provide assistance for physicians in the diagnostic process.

Paper Details

Date Published: 22 January 2015
PDF: 7 pages
J. Biomed. Opt. 20(1) 016021 doi: 10.1117/1.JBO.20.1.016021
Published in: Journal of Biomedical Optics Volume 20, Issue 1
Show Author Affiliations
Yao Liu, Fujian Normal Univ. (China)
Xiaoqin Zhu, Fujian Normal Univ. (China)
Zufang Huang, Fujian Normal Univ. (China)
Jianyong Cai, Fujian Normal Univ. (China)
Rong Chen, Fujian Normal Univ. (China)
Shuyuan Xiong, Fujian Medical Univ. (China)
Guannan Chen, Fujian Normal Univ. (China)
The BC Cancer Agency Research Ctr. (Canada)
Haishan Zeng, Fujian Medical Univ. (China)
The BC Cancer Agency Research Ctr. (Canada)


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