Journal article
Three-dimensional segmentation of fluid-associated abnormalities in retinal OCT: probability constrained graph-search-graph-cut
IEEE transactions on medical imaging, Vol.31(8), pp.1521-1531
08/2012
DOI: 10.1109/TMI.2012.2191302
PMCID: PMC3659794
PMID: 22453610
Abstract
An automated method is reported for segmenting 3-D fluid-associated abnormalities in the retina, so-called symptomatic exudate-associated derangements (SEAD), from 3-D OCT retinal images of subjects suffering from exudative age-related macular degeneration. In the first stage of a two-stage approach, retinal layers are segmented, candidate SEAD regions identified, and the retinal OCT image is flattened using a candidate-SEAD aware approach. In the second stage, a probability constrained combined graph search-graph cut method refines the candidate SEADs by integrating the candidate volumes into the graph cut cost function as probability constraints. The proposed method was evaluated on 15 spectral domain OCT images from 15 subjects undergoing intravitreal anti-VEGF injection treatment. Leave-one-out evaluation resulted in a true positive volume fraction (TPVF), false positive volume fraction (FPVF) and relative volume difference ratio (RVDR) of 86.5%, 1.7%, and 12.8%, respectively. The new graph cut-graph search method significantly outperformed both the traditional graph cut and traditional graph search approaches (p < 0.01, p < 0.04) and has the potential to improve clinical management of patients with choroidal neovascularization due to exudative age-related macular degeneration.
Details
- Title: Subtitle
- Three-dimensional segmentation of fluid-associated abnormalities in retinal OCT: probability constrained graph-search-graph-cut
- Creators
- Xinjian Chen - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, USA. xinjian-chen@uiowa.eduMeindert NiemeijerLi ZhangKyungmoo LeeMichael D AbramoffMilan Sonka
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on medical imaging, Vol.31(8), pp.1521-1531
- DOI
- 10.1109/TMI.2012.2191302
- PMID
- 22453610
- PMCID
- PMC3659794
- NLM abbreviation
- IEEE Trans Med Imaging
- ISSN
- 0278-0062
- eISSN
- 1558-254X
- Publisher
- Institute of Electrical and Electronics Engineers; United States
- Grant note
- R01 EB004640 / NIBIB NIH HHS EY017066 / NEI NIH HHS R01 EY017066 / NEI NIH HHS R01 EY019112-02 / NEI NIH HHS R01 EY019112 / NEI NIH HHS R01 EY019112-03 / NEI NIH HHS EB004640 / NIBIB NIH HHS R01 EY019112-01A2 / NEI NIH HHS R01 EY018853 / NEI NIH HHS
- Language
- English
- Date published
- 08/2012
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9983806269202771
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