期刊
IEEE TRANSACTIONS ON MEDICAL IMAGING
卷 28, 期 9, 页码 1436-1447出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMI.2009.2016958
关键词
Ophthalmology; optical coherence tomography; retina; segmentation; spectral-domain; three-dimensional (3-D) graph search
类别
资金
- National Institutes of Health-National Institute of Biomedical Imaging and Bioengineering (NIH-NIBIB) [R01-EB004640-01]
- National Institutes of Health-National Eye Institute (NIH-NEI) [R01-EY017066]
- National Institutes of Health-National Cancer Institute (NIH-NCI) [K25-CA123112]
- National Science Foundation [CCF-0830402]
- Research to Prevent Blindness, New York, NY
- Direct For Computer & Info Scie & Enginr
- Division of Computing and Communication Foundations [0830402, 0844765] Funding Source: National Science Foundation
With the introduction of spectral-domain optical coherence tomography (OCT), much larger image datasets; are routinely acquired compared to what was possible using the previous generation of time-domain OCT. Thus, the need for 3-D segmentation methods for processing such data is becoming increasingly important. We report a graph-theoretic segmentation method for the simultaneous segmentation of multiple 3-D surfaces that is guaranteed to be optimal with respect to the cost function and that is directly applicable to the segmentation of 3-D spectral OCT image data. We present two extensions to the general layered graph segmentation method: the ability to incorporate varying feasibility constraints and the ability to incorporate true regional information. Appropriate feasibility constraints and cost functions were learned from a training set of 13 spectral-domain OCT images from 13 subjects. After training, our approach was tested on a test set of 28 images from 14 subjects. An overall mean unsigned border positioning error of 5.69 +/- 2.41 mu m was achieved when segmenting seven surfaces (six layers) and using the average of the manual tracings of two ophthalmologists as the reference standard. This result is very comparable to the measured interobserver variability of 5.71 +/- 1.98 mu m.
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