Extraction of the Structural Properties of Skin Tissue via Diffuse Reflectance Spectroscopy: An Inverse Methodology

Chen, Bin; Zhang, Yong; Gao, Shangce; Liu, Dong

doi:10.3390/s21113745

Cited by 8 publications

(8 citation statements)

References 33 publications

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“…Integrated Optical Coherence Tomography and Deep Learning for Evaluating of the Injectable… DOI: http://dx.doi.org/10.5772/intechopen.106006 demonstrated the agreement between the measured and calculated spectral data [60]. Marin, Ana et al combined diffuse reflectance spectroscopy and pulsed photothermal radiometry (PPTR) in the visible spectral range to examine the dynamic process of traumatic bruising recovery, while using a numerical model of light and heat transport in a four-layer model of human skin from data for both techniques.…”

Section: (A) the Clinical Picture Of A Keloid Patient Containing Kelo...mentioning

confidence: 60%

Integrated Optical Coherence Tomography and Deep Learning for Evaluating of the Injectable Hydrogel on Skin Wound Healing

Zhao¹,

Chen²

2023

Wound Healing - Recent Advances and Future Opportunities

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Recently hydrogels and the treatment of skin wounds based on hydrogel dressings have become one of the research hotspots in the field of skin trauma. In this chapter, we focus on the materials and methods of hydrogel preparation, and discuss the properties that hydrogels should possess for the treatment of wounds. Moreover, we discuss the potential of non-invasive optical imaging techniques in the assessment of cutaneous wound healing. The research results of the application of non-invasive optical techniques such as diffuse reflectance spectroscopy (DRS) and optical coherence tomography (OCT) in scar identification, skin bruising, and skin and vascular structure identification are reviewed. Furthermore, we further discuss the superiority and potential of current artificial intelligence (AI) technology in dermatological diagnosis, and analyze the application status of hydrogel in skin wound treatment. Finally, we believe that the combination of AI and optical imaging technology in the development and efficacy monitoring of hydrogels will be a promising research direction in the future.

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Section: (A) the Clinical Picture Of A Keloid Patient Containing Kelo...mentioning

confidence: 60%

Integrated Optical Coherence Tomography and Deep Learning for Evaluating of the Injectable Hydrogel on Skin Wound Healing

Zhao¹,

Chen²

2023

Wound Healing - Recent Advances and Future Opportunities

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“…Depending on the thickness of the skin, the reflection information of the light source can be different. Although blood vessels decrease reflectance and transmittance, diffuse reflection exhibits sensitive dependence on the depth of blood vessels, that is, the thickness of the skin [ 23 ]. According to the thickness of the skin, the absorption amount of the light source decreases, which represents a large difference between the specular reflection and diffuse reflection information.…”

Section: Roi (Region Of Interest)mentioning

confidence: 99%

Assessment of ROI Selection for Facial Video-Based rPPG

Kim

Lee²,

Sohn

2021

Sensors

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In general, facial image-based remote photoplethysmography (rPPG) methods use color-based and patch-based region-of-interest (ROI) selection methods to estimate the blood volume pulse (BVP) and beats per minute (BPM). Anatomically, the thickness of the skin is not uniform in all areas of the face, so the same diffuse reflection information cannot be obtained in each area. In recent years, various studies have presented experimental results for their ROIs but did not provide a valid rationale for the proposed regions. In this paper, to see the effect of skin thickness on the accuracy of the rPPG algorithm, we conducted an experiment on 39 anatomically divided facial regions. Experiments were performed with seven algorithms (CHROM, GREEN, ICA, PBV, POS, SSR, and LGI) using the UBFC-rPPG and LGI-PPGI datasets considering 29 selected regions and two adjusted regions out of 39 anatomically classified regions. We proposed a BVP similarity evaluation metric to find a region with high accuracy. We conducted additional experiments on the TOP-5 regions and BOT-5 regions and presented the validity of the proposed ROIs. The TOP-5 regions showed relatively high accuracy compared to the previous algorithm’s ROI, suggesting that the anatomical characteristics of the ROI should be considered when developing a facial image-based rPPG algorithm.

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“…Furthermore, physical parameters of the skin such as thickness [ 21 – 23 ], microstructures [ 24 ] also affect the optical properties of the skin. For example, due to potential applications in the field of dermatology, Yoshida, K., et al developed a skin reflectance model that takes into account skin topography [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

Dynamic model for the strain-modulated spectral reflectance of the human skin in vivo

Huo,

Wang,

Wei

et al. 2024

Biomed. Opt. Express

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Hyperspectral imaging (HSI) offers a wealth of information regarding human skin. In this study, we established a dynamic skin spectral reflectance model (DSSR) relating the reflectance to skin surface strain, considering multi physiological and physical parameters of the skin. Experimentally, by HSI, we measured the reflectance variance of the forearm skin in vivo caused by the surface strain, and assessed these key parameters. For the human skin in vivo, within the strain range covered in this paper, stretching increases spectral reflectance, while compression decreases it. Our proposed model provides a possibility for non-contact strain measurement and health monitoring on the skin in vivo based on HSI.

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Extraction of the Structural Properties of Skin Tissue via Diffuse Reflectance Spectroscopy: An Inverse Methodology

Cited by 8 publications

References 33 publications

Integrated Optical Coherence Tomography and Deep Learning for Evaluating of the Injectable Hydrogel on Skin Wound Healing

Integrated Optical Coherence Tomography and Deep Learning for Evaluating of the Injectable Hydrogel on Skin Wound Healing

Assessment of ROI Selection for Facial Video-Based rPPG

Dynamic model for the strain-modulated spectral reflectance of the human skin in vivo

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