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Thesis
Automated 3-D segmentation of intraretinal surfaces from optical coherence tomography images centered on the optic nerve head
University of Iowa
Master of Science (MS), University of Iowa
Autumn 2009
DOI: 10.17077/etd.9t3wbokc
Abstract
<p>Optical coherence tomography (OCT), being a noninvasive imaging modality, has begun to find vast use in the diagnosis and management of retinal diseases. These high-resolution images of the retina allow structural changes to be detected and tracked. For instance, in glaucoma, the retinal nerve fiber layer (RNFL) has been known to thin. The recent availability of the considerably larger volumetric data from the spectral-domain OCT scanners has further increased the need for new processing techniques. This body of work is centered around an automated 3-D graph-theoretic approach for the segmentation of 7 surfaces (6 layers) of the retina from 3-D spectral-domain OCT images centered on the optic nerve head (ONH). The multiple surfaces are detected through the computation of a minimum-cost closed set in a vertex-weighted graph constructed using edge/regional information, and subject to a priori determined varying surface interaction and smoothness constraints. The method also addresses the challenges posed by presence of the neural canal and the large blood vessels found at the ONH. The method was used to study RNFL thickness maps of normal and glaucomatous eyes, which showed average thicknesses of 73.72 +/- 32.72um and 60.38 +/- 25.22um (p < 0.01), respectively.</p>
Details
- Title: Subtitle
- Automated 3-D segmentation of intraretinal surfaces from optical coherence tomography images centered on the optic nerve head
- Creators
- Bhavna Josephine Antony - University of Iowa
- Contributors
- Mona K. Garvin (Advisor)Michael Abramoff (Committee Member)Milan Sonka (Committee Member)
- Resource Type
- Thesis
- Degree Awarded
- Master of Science (MS), University of Iowa
- Degree in
- Electrical and Computer Engineering
- Date degree season
- Autumn 2009
- Publisher
- University of Iowa
- DOI
- 10.17077/etd.9t3wbokc
- Number of pages
- viii, 57 pages
- Copyright
- Copyright 2009 Bhavna Josephine Antony
- Language
- English
- Description bibliographic
- Includes bibliographical references (pages 55-57).
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9983777233402771
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