A Dual-Modality Imaging Method Based on Polarimetry and Second Harmonic Generation for Characterization and Evaluation of Skin Tissue Structures

Author:

Deng Liangyu1,Fan Zhipeng1,Chen Binguo12,Zhai Haoyu12ORCID,He Honghui1ORCID,He Chao3ORCID,Sun Yanan4,Wang Yi4,Ma Hui15ORCID

Affiliation:

1. Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China

2. Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China

3. Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK

4. Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China

5. Department of Physics, Tsinghua University, Beijing 100084, China

Abstract

The characterization and evaluation of skin tissue structures are crucial for dermatological applications. Recently, Mueller matrix polarimetry and second harmonic generation microscopy have been widely used in skin tissue imaging due to their unique advantages. However, the features of layered skin tissue structures are too complicated to use a single imaging modality for achieving a comprehensive evaluation. In this study, we propose a dual-modality imaging method combining Mueller matrix polarimetry and second harmonic generation microscopy for quantitative characterization of skin tissue structures. It is demonstrated that the dual-modality method can well divide the mouse tail skin tissue specimens’ images into three layers of stratum corneum, epidermis, and dermis. Then, to quantitatively analyze the structural features of different skin layers, the gray level co-occurrence matrix is adopted to provide various evaluating parameters after the image segmentations. Finally, to quantitatively measure the structural differences between damaged and normal skin areas, an index named Q-Health is defined based on cosine similarity and the gray-level co-occurrence matrix parameters of imaging results. The experiments confirm the effectiveness of the dual-modality imaging parameters for skin tissue structure discrimination and assessment. It shows the potential of the proposed method for dermatological practices and lays the foundation for further, in-depth evaluation of the health status of human skin.

Funder

Shenzhen Key Fundamental Research Project

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

Reference80 articles.

1. Johnson, M.L.T., and Roberts, J. (1978). Skin Conditions and Related Need for Medical Care among Persons 1–74 Years. United States, 1971–1974.

2. The burden of skin diseases: 2004: A joint project of the American Academy of Dermatology Association and the Society for Investigative Dermatology;Bickers;J. Am. Acad. Dermatol.,2006

3. Schofield, J., Grindlay, D., and Williams, H. (2009). Skin Conditions in the UK: A Health Care Needs Assessment, University of Nottingham.

4. The assessment of dermatological needs in resource-poor regions;Hay;Int. J. Dermatol.,2011

5. The global burden of skin disease in 2010: An analysis of the prevalence and impact of skin conditions;Hay;J. Investig. Dermatol.,2014

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3