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Phase and Texture Characterizations of Scar Collagen Second-Harmonic Generation Images Varied with Scar Duration

Published online by Cambridge University Press:  03 June 2015

Guannan Chen ,
Yao Liu ,
Xiaoqin Zhu ,
Zufang Huang ,
Jianyong Cai ,
Rong Chen ,
Shuyuan Xiong  and
Haishan Zeng
Guannan Chen
Affiliation:
Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Institute of Laser and Optoelectronics Technology, Fujian Normal University, Fuzhou 350007, PR China Department of Network and Communication Engineering, Fujian Normal University, Fuzhou 350007, China Imaging Unit—Integrative Oncology Department, British Columbia Cancer Agency Research Centre, 675 West 10th Avenue, Vancouver, BC V5Z 1L3, Canada
Yao Liu
Affiliation:
Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Institute of Laser and Optoelectronics Technology, Fujian Normal University, Fuzhou 350007, PR China Department of Network and Communication Engineering, Fujian Normal University, Fuzhou 350007, China
Xiaoqin Zhu*
Affiliation:
Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Institute of Laser and Optoelectronics Technology, Fujian Normal University, Fuzhou 350007, PR China
Zufang Huang
Affiliation:
Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Institute of Laser and Optoelectronics Technology, Fujian Normal University, Fuzhou 350007, PR China
Jianyong Cai
Affiliation:
Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Institute of Laser and Optoelectronics Technology, Fujian Normal University, Fuzhou 350007, PR China Department of Network and Communication Engineering, Fujian Normal University, Fuzhou 350007, China
Rong Chen
Affiliation:
Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Institute of Laser and Optoelectronics Technology, Fujian Normal University, Fuzhou 350007, PR China
Shuyuan Xiong
Affiliation:
Department of Plastic Surgery, Affiliated First Hospital Fujian Medical University, Fuzhou 350005, PR China
Haishan Zeng
Affiliation:
Imaging Unit—Integrative Oncology Department, British Columbia Cancer Agency Research Centre, 675 West 10th Avenue, Vancouver, BC V5Z 1L3, Canada
*
*Corresponding author.zhuxq@fjnu.edu.cn
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Abstract

This work developed a phase congruency algorithm combined with texture analysis to quantitatively characterize collagen morphology in second-harmonic generation (SHG) images from human scars. The extracted phase and texture parameters of the SHG images quantified collagen directionality, homogeneity, and coarseness in scars and varied with scar duration. Phase parameters showed an increasing tendency of the mean of phase congruency with scar duration, indicating that collagen fibers are better oriented over time. Texture parameters calculated from local difference local binary pattern (LD-LBP) and Haar wavelet transform, demonstrated that the LD-LBP variance decreased and the energy of all subimages increased with scar duration. It implied that collagen has a more regular pattern and becomes coarser with scar duration. In addition, the random forest regression was used to predict scar duration, demonstrating reliable performance of the extracted phase and texture parameters in characterizing collagen morphology in scar SHG images. Results indicate that the extracted parameters using the proposed method can be used as quantitative indicators to monitor scar progression with time and can help understand the mechanism of scar progression.

Keywords

scar progressioncollagensecond harmonic generation (SHG) imagephase parametertexture parameter
Type
Biological Applications and Techniques
Information
Microscopy and Microanalysis , Volume 21 , Issue 4 , August 2015 , pp. 855 - 862
Copyright
© Microscopy Society of America 2015 

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Footnotes

†

These co-first authors contributed equally to the work.

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