title: 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.
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.
authors.affiliation: Fujian Normal University, Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, No.32 Shangsan Road, Can.
authors.forename: Yao
authors.initials: Y
authors.lastname: Liu
authors.affiliation: Fujian Normal University, Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, No.32 Shangsan Road, Can.
authors.forename: Xiaoqin
authors.initials: X
authors.lastname: Zhu
authors.affiliation: Fujian Normal University, Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, No.32 Shangsan Road, Can.
authors.forename: Zufang
authors.initials: Z
authors.lastname: Huang
authors.affiliation: Fujian Normal University, Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, No.32 Shangsan Road, Can.
authors.forename: Jianyong
authors.initials: J
authors.lastname: Cai
authors.affiliation: Fujian Normal University, Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, No.32 Shangsan Road, Can.
authors.forename: Rong
authors.initials: R
authors.lastname: Chen
authors.affiliation: Affiliated First Hospital Fujian Medical University, Department of Plastic Surgery, No.20 Chazhong Road, Taijiang District, Fuzhou 350005, China.
authors.forename: Shuyuan
authors.initials: S
authors.lastname: Xiong
authors.affiliation: Fujian Normal University, Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, No.32 Shangsan Road, Can.
authors.forename: Guannan
authors.initials: G
authors.lastname: Chen
authors.affiliation: Affiliated First Hospital Fujian Medical University, Department of Plastic Surgery, No.20 Chazhong Road, Taijiang District, Fuzhou 350005, China.
authors.forename: Haishan
authors.initials: H
authors.lastname: Zeng
mesh_terms: D002921:Cicatrix / Q000145:classification* / Q000473:pathology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008853:Microscopy / Q000379:methods*; D012372:ROC Curve; D012867:Skin / Q000473:pathology; D060388:Support Vector Machine; D058067:Wavelet Analysis