Automated 3-D retinal layer segmentation of macular optical coherence tomography images with serous pigment epithelial detachments

Fei Shi; Xinjian Chen; Heming Zhao; Weifang Zhu; Dehui Xiang; Enting Gao; Milan Sonka; Haoyu Chen

doi:10.1109/TMI.2014.2359980

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Automated 3-D retinal layer segmentation of macular optical coherence tomography images with serous pigment epithelial detachments

Journal article

Peer reviewed

Automated 3-D retinal layer segmentation of macular optical coherence tomography images with serous pigment epithelial detachments

Fei Shi, Xinjian Chen, Heming Zhao, Weifang Zhu, Dehui Xiang, Enting Gao, Milan Sonka and Haoyu Chen

IEEE transactions on medical imaging, Vol.34(2), pp.441-452

02/2015

DOI: 10.1109/TMI.2014.2359980

PMID: 25265605

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Abstract

Automated retinal layer segmentation of optical coherence tomography (OCT) images has been successful for normal eyes but becomes challenging for eyes with retinal diseases if the retinal morphology experiences critical changes. We propose a method to automatically segment the retinal layers in 3-D OCT data with serous retinal pigment epithelial detachments (PED), which is a prominent feature of many chorioretinal disease processes. The proposed framework consists of the following steps: fast denoising and B-scan alignment, multi-resolution graph search based surface detection, PED region detection and surface correction above the PED region. The proposed technique was evaluated on a dataset with OCT images from 20 subjects diagnosed with PED. The experimental results showed the following. 1) The overall mean unsigned border positioning error for layer segmentation is 7.87±3.36 μm , and is comparable to the mean inter-observer variability ( 7.81±2.56 μm). 2) The true positive volume fraction (TPVF), false positive volume fraction (FPVF) and positive predicative value (PPV) for PED volume segmentation are 87.1%, 0.37%, and 81.2%, respectively. 3) The average running time is 220 s for OCT data of 512 × 64 × 480 voxels.

Algorithms

Humans

Imaging, Three-Dimensional - methods

Retina - anatomy & histology

Retina - pathology

Retinal Detachment - pathology

Tomography, Optical Coherence - methods

Details

Title: Subtitle: Automated 3-D retinal layer segmentation of macular optical coherence tomography images with serous pigment epithelial detachments
Creators: Fei Shi - Soochow University (Suzhou)
Xinjian Chen - Soochow University (Suzhou)
Heming Zhao - Soochow University (Suzhou)
Weifang Zhu - Soochow University (Suzhou)
Dehui Xiang - Soochow University (Suzhou)
Enting Gao - Soochow University (Suzhou)
Milan Sonka - University of Iowa
Haoyu Chen - University of Hong Kong
Resource Type: Journal article
Publication Details: IEEE transactions on medical imaging, Vol.34(2), pp.441-452
DOI: 10.1109/TMI.2014.2359980
PMID: 25265605
NLM abbreviation: IEEE Trans Med Imaging
ISSN: 0278-0062
eISSN: 1558-254X
Publisher: Institute of Electrical and Electronics Engineers
Grant note: R01 EY019112 / NEI NIH HHS
Language: English
Date published: 02/2015
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
Record Identifier: 9984186700902771

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