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Biomedical Optics Express

Biomedical Optics Express

  • Editor: Joseph A. Izatt
  • Vol. 4, Iss. 7 — Jul. 1, 2013
  • pp: 1133–1152

Retinal layer segmentation of macular OCT images using boundary classification

Andrew Lang, Aaron Carass, Matthew Hauser, Elias S. Sotirchos, Peter A. Calabresi, Howard S. Ying, and Jerry L. Prince  »View Author Affiliations


Biomedical Optics Express, Vol. 4, Issue 7, pp. 1133-1152 (2013)
http://dx.doi.org/10.1364/BOE.4.001133


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Abstract

Optical coherence tomography (OCT) has proven to be an essential imaging modality for ophthalmology and is proving to be very important in neurology. OCT enables high resolution imaging of the retina, both at the optic nerve head and the macula. Macular retinal layer thicknesses provide useful diagnostic information and have been shown to correlate well with measures of disease severity in several diseases. Since manual segmentation of these layers is time consuming and prone to bias, automatic segmentation methods are critical for full utilization of this technology. In this work, we build a random forest classifier to segment eight retinal layers in macular cube images acquired by OCT. The random forest classifier learns the boundary pixels between layers, producing an accurate probability map for each boundary, which is then processed to finalize the boundaries. Using this algorithm, we can accurately segment the entire retina contained in the macular cube to an accuracy of at least 4.3 microns for any of the nine boundaries. Experiments were carried out on both healthy and multiple sclerosis subjects, with no difference in the accuracy of our algorithm found between the groups.

© 2013 OSA

OCIS Codes
(100.0100) Image processing : Image processing
(170.4470) Medical optics and biotechnology : Ophthalmology
(170.4500) Medical optics and biotechnology : Optical coherence tomography

ToC Category:
Image Processing

History
Original Manuscript: April 9, 2013
Revised Manuscript: May 30, 2013
Manuscript Accepted: June 1, 2013
Published: June 14, 2013

Citation
Andrew Lang, Aaron Carass, Matthew Hauser, Elias S. Sotirchos, Peter A. Calabresi, Howard S. Ying, and Jerry L. Prince, "Retinal layer segmentation of macular OCT images using boundary classification," Biomed. Opt. Express 4, 1133-1152 (2013)
http://www.opticsinfobase.org/boe/abstract.cfm?URI=boe-4-7-1133


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