Conference proceeding
Incorporation of regional information in optimal 3-D graph search with application for intraretinal layer segmentation of optical coherence tomography images
Information processing in medical imaging : proceedings of the ... conference, Vol.20, pp.607-618
2007
DOI: 10.1007/978-3-540-73273-0_50
PMID: 17633733
Abstract
We present a method for the incorporation of regional image information in a 3-D graph-theoretic approach for optimal multiple surface segmentation. By transforming the multiple surface segmentation task into finding a minimum-cost closed set in a vertex-weighted graph, the optimal set of feasible surfaces with respect to an objective function can be found. In the past, this family of graph search applications only used objective functions which incorporated "on-surface" costs. Here, novel "in-region" costs are incorporated. Our new approach is applied to the segmentation of seven intraretinal layer surfaces of 24 3-D macular optical coherence tomography images from 12 subjects. Compared to an expert-defined independent standard, unsigned border positioning errors are comparable to the inter-observer variability (7.8 +/- 5.0 microm and 8.1 +/- 3.6 microm, respectively).
Details
- Title: Subtitle
- Incorporation of regional information in optimal 3-D graph search with application for intraretinal layer segmentation of optical coherence tomography images
- Creators
- Mona Haeker - Department of Electrical & Computer Engineering, University of Iowa, Iowa City, IA 52242, USA. mona-haeker@uiowa.eduXiaodong WuMichael AbràmoffRandy KardonMilan Sonka
- Resource Type
- Conference proceeding
- Publication Details
- Information processing in medical imaging : proceedings of the ... conference, Vol.20, pp.607-618
- DOI
- 10.1007/978-3-540-73273-0_50
- PMID
- 17633733
- NLM abbreviation
- Inf Process Med Imaging
- ISSN
- 1011-2499
- Publisher
- Germany
- Language
- English
- Date published
- 2007
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9983980003502771
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