|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|
|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|
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.