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.

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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

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