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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Automated 3D Reconstruction and Segmentation from Optical Coherence Tomography
verfasst von : Justin A. Eichel, Kostadinka K. Bizheva, David A. Clausi, Paul W. Fieguth
Erschienen in: Computer Vision – ECCV 2010
Verlag: Springer Berlin Heidelberg
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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.