Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT

Li Zhang; Gabriëlle H S Buitendijk; Kyungmoo Lee; Milan Sonka; Henriët Springelkamp; Albert Hofman; Johannes R Vingerling; Robert F Mullins; Caroline C W Klaver; Michael D Abràmoff

doi:10.1167/iovs.14-15669

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Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT

Journal article

Open access

Peer reviewed

Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT

Li Zhang, Gabriëlle H S Buitendijk, Kyungmoo Lee, Milan Sonka, Henriët Springelkamp, Albert Hofman, Johannes R Vingerling, Robert F Mullins, Caroline C W Klaver and Michael D Abràmoff

Investigative ophthalmology & visual science, Vol.56(5), pp.3202-3211

05/2015

DOI: 10.1167/iovs.14-15669

PMCID: PMC4451615

PMID: 26024104

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Abstract

To evaluate the validity of a novel fully automated three-dimensional (3D) method capable of segmenting the choroid from two different optical coherence tomography scanners: swept-source OCT (SS-OCT) and spectral-domain OCT (SD-OCT). One hundred eight subjects were imaged using SS-OCT and SD-OCT. A 3D method was used to segment the choroid and quantify the choroidal thickness along each A-scan. The segmented choroidal posterior boundary was evaluated by comparing to manual segmentation. Differences were assessed to test the agreement between segmentation results of the same subject. Choroidal thickness was defined as the Euclidian distance between Bruch's membrane and the choroidal posterior boundary, and reproducibility was analyzed using automatically and manually determined choroidal thicknesses. For SS-OCT, the average choroidal thickness of the entire 6- by 6-mm2 macular region was 219.5 μm (95% confidence interval [CI], 204.9-234.2 μm), and for SD-OCT it was 209.5 μm (95% CI, 197.9-221.0 μm). The agreement between automated and manual segmentations was high: Average relative difference was less than 5 μm, and average absolute difference was less than 15 μm. Reproducibility of choroidal thickness between repeated SS-OCT scans was high (coefficient of variation [CV] of 3.3%, intraclass correlation coefficient [ICC] of 0.98), and differences between SS-OCT and SD-OCT results were small (CV of 11.0%, ICC of 0.73). We have developed a fully automated 3D method for segmenting the choroid and quantifying choroidal thickness along each A-scan. The method yielded high validity. Our method can be used reliably to study local choroidal changes and may improve the diagnosis and management of patients with ocular diseases in which the choroid is affected.

Netherlands

Reproducibility of Results

Prospective Studies

Humans

Middle Aged

Imaging, Three-Dimensional - methods

Adult

Female

Male

Aged

Tomography, Optical Coherence - methods

Choroid Diseases - diagnosis

Details

Title: Subtitle: Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT
Creators: Li Zhang
Gabriëlle H S Buitendijk - Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands 3Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
Kyungmoo Lee - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, United States
Milan Sonka - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, United States 4Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa, United States
Henriët Springelkamp - Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands 3Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
Albert Hofman - Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands 5Netherlands Consortium for Healthy Aging, Netherlands Genomics Initiative, The Hague, The Netherlands
Johannes R Vingerling - Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands 3Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
Robert F Mullins - Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa, United States 6Stephen Wynn Institute for Vision Research, University of Iowa, Iowa City, Iowa, United States
Caroline C W Klaver - Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands 3Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
Michael D Abràmoff - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, United States 4Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa, United States 6Stephen Wynn Institute for Vi
Resource Type: Journal article
Publication Details: Investigative ophthalmology & visual science, Vol.56(5), pp.3202-3211
DOI: 10.1167/iovs.14-15669
PMID: 26024104
PMCID: PMC4451615
NLM abbreviation: Invest Ophthalmol Vis Sci
ISSN: 0146-0404
eISSN: 1552-5783
Publisher: United States
Grant note: R01-EB004640 / NIBIB NIH HHS R01-EY018853 / NEI NIH HHS R01 EB004640 / NIBIB NIH HHS R01 EY017066 / NEI NIH HHS R01 EY018853 / NEI NIH HHS R01-EY017066 / NEI NIH HHS
Language: English
Date published: 05/2015
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: 9983805904802771

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