Semiautomated Segmentation of the Choroid in Spectral-Domain Optical Coherence Tomography Volume Scans

Zhihong Hu; Xiaodong Wu; Yanwei Ouyang; Yanling Ouyang; Srinivas R Sadda

doi:10.1167/iovs.12-10578

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Semiautomated Segmentation of the Choroid in Spectral-Domain Optical Coherence Tomography Volume Scans

Journal article

Peer reviewed

Semiautomated Segmentation of the Choroid in Spectral-Domain Optical Coherence Tomography Volume Scans

Zhihong Hu, Xiaodong Wu, Yanwei Ouyang, Yanling Ouyang and Srinivas R Sadda

Investigative ophthalmology & visual science, Vol.54(3), pp.1722-1729

03/07/2013

DOI: 10.1167/iovs.12-10578

PMID: 23349432

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Abstract

Purpose: Changes in the choroid, in particular its thickness, are believed to be of importance in the pathophysiology of a number of retinal diseases. The purpose of this study was to adapt the graph search algorithm to semiautomatically identify the choroidal layer in spectral-domain optical coherence tomography (SD-OCT) volume scans and compare its performance to manual delineation. Methods: A graph-based multistage segmentation approach was used to identify the choroid, defined as the layer between the outer border of the RPE band and the choroid-sclera junction. Thirty randomly chosen macular SD-OCT (1024 × 37 × 496 voxels, Heidelberg Spectralis) volumes were obtained from 20 healthy subjects and 10 subjects with non-neovascular AMD. The positions of the choroidal borders and resultant thickness were compared with consensus manual delineation performed by two graders. For consistency of the statistical analysis, the left eyes were horizontally flipped in the x-direction. Results: The algorithm-defined position of the outer RPE border and choroid-sclera junction was consistent with the manual delineation, resulting in highly correlated choroidal thickness values with r = 0.91 to 0.93 for the healthy subjects and 0.94 for patients with non-neovascular AMD. Across all cases, the mean and absolute differences between the algorithm and manual segmentation for the outer RPE boundary was -0.74 ± 3.27 μm and 3.15 ± 3.07 μm; and for the choroid-sclera junction was -3.90 ± 15.93 μm and 21.39 ± 10.71 μm. Conclusions: Excellent agreement was observed between the algorithm and manual choroidal segmentation in both normal eyes and those with non-neovascular AMD. The choroid was thinner in AMD eyes. Semiautomated choroidal thickness calculation may be useful for large-scale quantitative studies of the choroid.

Details

Title: Subtitle: Semiautomated Segmentation of the Choroid in Spectral-Domain Optical Coherence Tomography Volume Scans
Creators: Zhihong Hu - From the Doheny Eye Institute, University of Southern California, Los Angeles, California; and the
Xiaodong Wu - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa
Yanwei Ouyang - From the Doheny Eye Institute, University of Southern California, Los Angeles, California; and the
Yanling Ouyang - From the Doheny Eye Institute, University of Southern California, Los Angeles, California; and the
Srinivas R Sadda - From the Doheny Eye Institute, University of Southern California, Los Angeles, California; and the
Resource Type: Journal article
Publication Details: Investigative ophthalmology & visual science, Vol.54(3), pp.1722-1729
DOI: 10.1167/iovs.12-10578
PMID: 23349432
NLM abbreviation: Invest Ophthalmol Vis Sci
ISSN: 1552-5783
eISSN: 1552-5783
Language: English
Date published: 03/07/2013
Academic Unit: Electrical and Computer Engineering; Radiation Oncology
Record Identifier: 9984046828102771

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