Automatic Feature Extraction from Three-Dimensional Optical Coherence Tomography of Human Skin

Yoshiaki Yasuno; Yasuaki Hori; Masahiro Yamanari; Violeta D. Madjarova; Shuichi Makita; Masahide Itoh; Toyohiko Yatagai; Shingo Sakai; Masayuki Matsumoto

doi:10.1364/BIO.2006.TuI28

Biomedical Optics
Technical Digest (CD) (Optica Publishing Group, 2006),
paper TuI28
•https://doi.org/10.1364/BIO.2006.TuI28

Automatic Feature Extraction from Three-Dimensional Optical Coherence Tomography of Human Skin

Yoshiaki Yasuno, Yasuaki Hori, Masahiro Yamanari, Violeta D. Madjarova, Shuichi Makita, Masahide Itoh, Toyohiko Yatagai, Shingo Sakai, and Masayuki Matsumoto

Biomedical Topical Meeting 2006

Fort Lauderdale, Florida United States
19–22 March 2006
ISBN:

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Poster Session III (TuI)

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Y. Yasuno, Y. Hori, M. Yamanari, V. D. Madjarova, S. Makita, M. Itoh, T. Yatagai, S. Sakai, and M. Matsumoto, "Automatic Feature Extraction from Three-Dimensional Optical Coherence Tomography of Human Skin," in Biomedical Optics, Technical Digest (CD) (Optica Publishing Group, 2006), paper TuI28.

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Abstract

A segmentation algorithm specially designed for three-dimensional optical coherence tomography (OCT) of human skin is presented. A-scan oriented algorithm determines the thickness distribution and the mean thickness of epidermis. The algorithm also determines the surface of the OCT volume, and en face OCT slices at constant depths from the surface are extracted from the OCT volume. A histogram-based levelset segmentation method is applied for the slices to segment out infundibulums. This algorithm also provides the density and the population of the infundibulums.

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