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Proceedings Paper

Validation study of automated dermal/epidermal junction localization algorithm in reflectance confocal microscopy images of skin
Author(s): Sila Kurugol; Milind Rajadhyaksha; Jennifer G. Dy; Dana H. Brooks
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Paper Abstract

Reflectance confocal microscopy (RCM) has seen increasing clinical application for noninvasive diagnosis of skin cancer. Identifying the location of the dermal-epidermal junction (DEJ) in the image stacks is key for effective clinical imaging. For example, one clinical imaging procedure acquires a dense stack of 0.5x0.5mm FOV images and then, after manual determination of DEJ depth, collects a 5x5mm mosaic at that depth for diagnosis. However, especially in lightly pigmented skin, RCM images have low contrast at the DEJ which makes repeatable, objective visual identification challenging. We have previously published proof of concept for an automated algorithm for DEJ detection in both highly- and lightly-pigmented skin types based on sequential feature segmentation and classification. In lightly-pigmented skin the change of skin texture with depth was detected by the algorithm and used to locate the DEJ. Here we report on further validation of our algorithm on a more extensive collection of 24 image stacks (15 fair skin, 9 dark skin). We compare algorithm performance against classification by three clinical experts. We also evaluate inter-expert consistency among the experts. The average correlation across experts was 0.81 for lightly pigmented skin, indicating the difficulty of the problem. The algorithm achieved epidermis/dermis misclassification rates smaller than 10% (based on 25x25 mm tiles) and average distance from the expert labeled boundaries of ~6.4 μm for fair skin and ~5.3 μm for dark skin, well within average cell size and less than 2x the instrument resolution in the optical axis.

Paper Details

Date Published: 18 February 2012
PDF: 11 pages
Proc. SPIE 8207, Photonic Therapeutics and Diagnostics VIII, 820702 (18 February 2012); doi: 10.1117/12.909227
Show Author Affiliations
Sila Kurugol, Northeastern Univ. (United States)
Milind Rajadhyaksha, Memorial Sloan-Kettering Cancer Ctr. (United States)
Jennifer G. Dy, Northeastern Univ. (United States)
Dana H. Brooks, Northeastern Univ. (United States)


Published in SPIE Proceedings Vol. 8207:
Photonic Therapeutics and Diagnostics VIII
Anita Mahadevan-Jansen; Andreas Mandelis; Kenton W. Gregory; Nikiforos Kollias; Hyun Wook Kang; Henry Hirschberg; Melissa J. Suter; Brian Jet-Fei Wong; Justus F. Ilgner; Stephen Lam; Bodo E. Knudsen; Steen Madsen; E. Duco Jansen; Bernard Choi; Guillermo J. Tearney; Laura Marcu; Haishan Zeng; Matthew Brenner; Krzysztof Izdebski, Editor(s)

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