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Proceedings Paper

Segmentation method for in vivo meibomian gland OCT image
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Paper Abstract

We demonstrate segmentation of human MGs based on several image processing technic. 3D volumetric data of upper eyelid was acquired from real-time FD-OCT, and its acini area of MGs was segmented. Three dimensional volume informations of meibomian glands should be helpful to diagnose meibomian gland related disease. In order to reveal boundary between tarsal plate and acini, each B-scan images were obtained before averaged three times. Imaging area was 10x10mm and 700x1000x500 voxels. The acquisition time was 60ms for B-scan and 30sec for C-scan. The 3D data was flattened to remove curvature and axial vibration, and resized to reduce computational costs, and filtered to minimize speckles, and segmented. Marker based watershed transform was employed to segment each acini area of meibomian gland.

Paper Details

Date Published: 28 February 2014
PDF: 6 pages
Proc. SPIE 8930, Ophthalmic Technologies XXIV, 89300P (28 February 2014); doi: 10.1117/12.2038886
Show Author Affiliations
Jun Geun Shin, Gwangju Institute of Science and Technology (Korea, Republic of)
Byeong Ha Lee, Gwangju Institute of Science and Technology (Korea, Republic of)
Tae Joong Eom, Gwangju Institute of Science and Technology (Korea, Republic of)

Published in SPIE Proceedings Vol. 8930:
Ophthalmic Technologies XXIV
Fabrice Manns; Per G. Söderberg; Arthur Ho, Editor(s)

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