Automated 3D reconstruction and segmentation from optical coherence tomography

TitleAutomated 3D reconstruction and segmentation from optical coherence tomography
Publication TypeConference Paper
Year of Publication2010
AuthorsEichel, J. A., K. Bizheva, D. A. Clausi, and P. Fieguth
Conference Name11th European Conference on Computer Vision
Date Published09/2010
Conference LocationCrete, Greece
ISBN Number3-642-15557-X, 978-3-642-15557-4
Keywordscornea, non-invasive imaging, OCT, reconstruction, Segmentation, statistical modelling, UHROCT

Ultra-High Resolution Optical Coherence Tomography is a novel imaging technology that allows non-invasive, high speed, cellular resolution imaging of anatomical structures in the human eye, including the retina and the cornea.

 A three-dimensional study of the cornea, for example, requires the segmentation and mutual alignment of a large number of two-dimensional images. Such segmentation has, until now, only been undertaken by hand for individual two-dimensional images; this paper presents a method for automated segmentation, opening substantial opportunities for 3D corneal imaging and analysis, using many hundreds of 2D slices.