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23 February 2021 In vivo dual-mode full-field optical coherence tomography for differentiation of types of melanocytic nevi
Ming-Rung Tsai, Tuan-Shu Ho, Yu-Hung Wu, Chih-Wei Lu
Author Affiliations +
Abstract

Significance: Melanocytic nevi represent the most common dermal melanocytic lesions in humans. Nevus is typically diagnosed clinically with the naked eye or with dermoscopy. However, it is essential to identify the type of nevus by invasive biopsy for histopathological examination. The use of noninvasive imaging tools can be used to evaluate the types of nevi to reduce unnecessary excisions of benign entities.

Aim: To evaluate the feasibility of using en face and cross-sectional full-field optical coherence tomography (FF-OCT) in differentiation of melanocytic nevi that can facilitate the reduction of unnecessary excisions of benign entities.

Approach: Dual-mode Mirau-type FF-OCT for cross-sectional imaging (B-scan) and en face imaging were used to distinguish the types of nevi.

Results: Although the B-scan reveals the distribution of melanosomes, users can set a specific depth of the en face image to explore the morphology of surrounding skin cells instantly. According to the locations of nevus nests, the different types of nevi, including junction nevus and compound nevus, can be identified using this dual-mode FF-OCT system.

Conclusions: Combining B-scan and en face imaging in vivo FF-OCT enables the examination and navigation of skin tissues in real time and in three dimensions.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Ming-Rung Tsai, Tuan-Shu Ho, Yu-Hung Wu, and Chih-Wei Lu "In vivo dual-mode full-field optical coherence tomography for differentiation of types of melanocytic nevi," Journal of Biomedical Optics 26(2), 020501 (23 February 2021). https://doi.org/10.1117/1.JBO.26.2.020501
Received: 9 November 2020; Accepted: 3 February 2021; Published: 23 February 2021
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
In vivo imaging

Skin

Optical coherence tomography

Light sources

Imaging systems

Crystals

Image resolution

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