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瘢痕胶原蛋白二次谐波产生图像的相位和纹理特征随瘢痕持续时间而变化。

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

作者信息

Chen Guannan, Liu Yao, Zhu Xiaoqin, Huang Zufang, Cai Jianyong, Chen Rong, Xiong Shuyuan, Zeng Haishan

机构信息

1Fujian 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.

4Department of Plastic Surgery,Affiliated First Hospital Fujian Medical University,Fuzhou 350005,PR China.

出版信息

Microsc Microanal. 2015 Aug;21(4):855-62. doi: 10.1017/S1431927615000707. Epub 2015 Jun 3.

DOI:10.1017/S1431927615000707
PMID:26036282
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.

摘要

这项工作开发了一种结合纹理分析的相位一致性算法,用于定量表征来自人类疤痕的二次谐波生成(SHG)图像中的胶原蛋白形态。提取的SHG图像的相位和纹理参数量化了疤痕中胶原蛋白的方向性、均匀性和粗糙度,并且随疤痕持续时间而变化。相位参数显示相位一致性均值随疤痕持续时间呈增加趋势,表明随着时间推移胶原蛋白纤维的排列更好。通过局部差分局部二值模式(LD-LBP)和哈尔小波变换计算得到的纹理参数表明,LD-LBP方差随疤痕持续时间减小,所有子图像的能量随疤痕持续时间增加。这意味着胶原蛋白具有更规则的模式,并且随着疤痕持续时间变粗。此外,随机森林回归用于预测疤痕持续时间,证明了提取的相位和纹理参数在表征疤痕SHG图像中胶原蛋白形态方面具有可靠的性能。结果表明,使用所提出方法提取的参数可以用作定量指标来监测疤痕随时间的进展,并有助于理解疤痕进展的机制。

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