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Quantitative and rapid estimations of human sub‐surface skin mass using ultra‐high‐resolution spectral domain optical coherence tomography
Author(s) -
Kuo WenChuan,
Kuo YueMing,
Wen SuYing
Publication year - 2016
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201400153
Subject(s) - optical coherence tomography , biomedical engineering , imaging phantom , tomography , high resolution , coherence (philosophical gambling strategy) , optics , in vivo , materials science , medicine , physics , geology , remote sensing , biology , microbiology and biotechnology , quantum mechanics
Non‐invasive and quantitative estimations for the delineation of sub‐surface tumor margins could greatly aid in the early detection and monitoring of the morphological appearances of tumor growth, ensure complete tumor excision without the unnecessary sacrifice of healthy tissue, and facilitate post‐operative follow‐up for recurrence. In this study, a high‐speed, non‐invasive, and ultra‐high‐resolution spectral domain optical coherence tomography (UHR‐SDOCT) imaging platform was developed for the quantitative measurement of human sub‐surface skin mass. With a proposed robust, semi‐automatic analysis, the system can rapidly quantify lesion area and shape regularity by an en‐face‐oriented algorithm. Various sizes of nylon sutures embedded in pork skin were used first as a phantom to verify the accuracy of our algorithm, and then in vivo , feasibility was proven using benign human angiomas and pigmented nevi. Clinically, this is the first step towards an automated skin lesion measurement system.In vivo optical coherence tomography (OCT) image of angioma (A). Thin red arrows point to a blood vessel (BV).