Assessment of intrinsic and extrinsic aging on dermal morphology using optical coherence tomography

Vidyalakshmi Anilkumar; Felix Hilge; Timo Kepp; Michael Wang-Evers; Spencer Brush; Hinnerk Schulz-Hildebrandt; Gereon Hüttmann; Heinz Handels; Dieter Manstein

doi:10.1117/12.2650110

17 March 2023 Assessment of intrinsic and extrinsic aging on dermal morphology using optical coherence tomography

Vidyalakshmi Anilkumar, Felix Hilge, Timo Kepp, Michael Wang-Evers, Spencer Brush, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, Heinz Handels, Dieter Manstein

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Proceedings Volume PC12352, Photonics in Dermatology and Plastic Surgery 2023; PC123520D (2023) https://doi.org/10.1117/12.2650110
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

This project proposes an alternate method to DIN/ISO parameters for analyzing the effects of intrinsic and extrinsic aging on skin morphology. This method improves the efficacy of assessing aging by evaluating the surface and subsurface of the skin. The volumetric data obtained using OCT was processed using a machine learning approach to obtain DEJ segmentation, which was further segmented to obtain the morphological information of the micro-plateaus. The results showed that the flattening of DEJ due to aging is accompanied by changes in the size and shape of micro-plateaus in the DEJ.

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Vidyalakshmi Anilkumar, Felix Hilge, Timo Kepp, Michael Wang-Evers, Spencer Brush, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, Heinz Handels, and Dieter Manstein "Assessment of intrinsic and extrinsic aging on dermal morphology using optical coherence tomography", Proc. SPIE PC12352, Photonics in Dermatology and Plastic Surgery 2023, PC123520D (17 March 2023); https://doi.org/10.1117/12.2650110

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KEYWORDS

Optical coherence tomography

Skin

Machine learning

Shape analysis

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