| Title | Automated 3D reconstruction and segmentation from optical coherence tomography |
| Publication Type | Conference Paper |
| Year of Publication | 2010 |
| Authors | Eichel, J. A., K. Bizheva, D. A. Clausi, and P. Fieguth |
| Conference Name | 11th European Conference on Computer Vision |
| Date Published | 09/2010 |
| Conference Location | Crete, Greece |
| ISBN Number | 3-642-15557-X, 978-3-642-15557-4 |
| Keywords | cornea, non-invasive imaging, OCT, reconstruction, Segmentation, statistical modelling, UHROCT |
| Abstract | 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. |
