Automated segmentation of the cup and rim from spectral domain OCT of the optic nerve head

Michael D Abràmoff; Kyungmoo Lee; Meindert Niemeijer; Wallace L M Alward; Emily C Greenlee; Mona K Garvin; Milan Sonka; Young H Kwon

doi:10.1167/iovs.09-3790

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Automated segmentation of the cup and rim from spectral domain OCT of the optic nerve head

Journal article

Open access

Peer reviewed

Automated segmentation of the cup and rim from spectral domain OCT of the optic nerve head

Michael D Abràmoff, Kyungmoo Lee, Meindert Niemeijer, Wallace L M Alward, Emily C Greenlee, Mona K Garvin, Milan Sonka and Young H Kwon

Investigative ophthalmology & visual science, Vol.50(12), pp.5778-5784

12/2009

DOI: 10.1167/iovs.09-3790

PMCID: PMC2929655

PMID: 19608531

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Abstract

To evaluate the performance of an automated algorithm for determination of the cup and rim from close-to-isotropic spectral domain (SD) OCT images of the optic nerve head (ONH) and compare to the cup and rim as determined by glaucoma experts from stereo color photographs of the same eye. Thirty-four consecutive patients with glaucoma were included in the study, and the ONH in the left eye was imaged with SD-OCT and stereo color photography on the same day. The cup and rim were segmented in all ONH OCT volumes by a novel voxel column classification algorithm, and linear cup-to-disc (c/d) ratio was determined. Three fellowship-trained glaucoma specialists performed planimetry on the stereo color photographs, and c/d was also determined. The primary outcome measure was the correlation between algorithm-determined c/d and planimetry-derived c/d. The correlation of algorithm c/d to experts 1, 2, and 3 was 0.90, 0.87, and 0.93, respectively. The c/d correlation of expert 1 to 2, 1 to 3, and 2 to 3, were 0.89, 0.93, and 0.88, respectively. In this preliminary study, we have developed a novel algorithm to determine the cup and rim in close-to-isotropic SD-OCT images of the ONH and have shown that its performance for determination of the cup and rim from SD-OCT images is similar to that of planimetry by glaucoma experts. Validation on a larger glaucoma sample as well as normal controls is warranted.

Automation

Algorithms

Glaucoma, Angle-Closure - classification

Glaucoma, Open-Angle - classification

Humans

Optic Nerve Diseases - diagnosis

Glaucoma, Open-Angle - diagnosis

Glaucoma, Angle-Closure - diagnosis

Male

Tomography, Optical Coherence - methods

Optic Nerve Diseases - classification

Female

Aged

Optic Disk - pathology

Photography - methods

Details

Title: Subtitle: Automated segmentation of the cup and rim from spectral domain OCT of the optic nerve head
Creators: Michael D Abràmoff - Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa 52242, USA. michael-abramoff@uiowa.edu
Kyungmoo Lee
Meindert Niemeijer
Wallace L M Alward
Emily C Greenlee
Mona K Garvin
Milan Sonka
Young H Kwon
Resource Type: Journal article
Publication Details: Investigative ophthalmology & visual science, Vol.50(12), pp.5778-5784
DOI: 10.1167/iovs.09-3790
PMID: 19608531
PMCID: PMC2929655
NLM abbreviation: Invest Ophthalmol Vis Sci
ISSN: 0146-0404
eISSN: 1552-5783
Publisher: Association for Research in Vision and Ophthalmology (ARVO); United States
Grant note: R01 EB004640-01A2 / NIBIB NIH HHS R01 EB004640 / NIBIB NIH HHS EY017066 / NEI NIH HHS R01 EY017066 / NEI NIH HHS R01 EY019112 / NEI NIH HHS R01 EY019112-01A2 / NEI NIH HHS R01 EY018853-01A2 / NEI NIH HHS R01 EY018853 / NEI NIH HHS
Language: English
Date published: 12/2009
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: 9983806381202771

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