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Biomedical Optics Express

Biomedical Optics Express

  • Editor: Joseph A. Izatt
  • Vol. 5, Iss. 4 — Apr. 1, 2014
  • pp: 1062–1074

Multiple-object geometric deformable model for segmentation of macular OCT

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

Biomedical Optics Express, Vol. 5, Issue 4, pp. 1062-1074 (2014)

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Optical coherence tomography (OCT) is the de facto standard imaging modality for ophthalmological assessment of retinal eye disease, and is of increasing importance in the study of neurological disorders. Quantification of the thicknesses of various retinal layers within the macular cube provides unique diagnostic insights for many diseases, but the capability for automatic segmentation and quantification remains quite limited. While manual segmentation has been used for many scientific studies, it is extremely time consuming and is subject to intra- and inter-rater variation. This paper presents a new computational domain, referred to as flat space, and a segmentation method for specific retinal layers in the macular cube using a recently developed deformable model approach for multiple objects. The framework maintains object relationships and topology while preventing overlaps and gaps. The algorithm segments eight retinal layers over the whole macular cube, where each boundary is defined with subvoxel precision. Evaluation of the method on single-eye OCT scans from 37 subjects, each with manual ground truth, shows improvement over a state-of-the-art method.

© 2014 Optical Society of America

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

Original Manuscript: January 1, 2014
Revised Manuscript: February 9, 2014
Manuscript Accepted: February 21, 2014
Published: March 4, 2014

Aaron Carass, Andrew Lang, Matthew Hauser, Peter A. Calabresi, Howard S. Ying, and Jerry L. Prince, "Multiple-object geometric deformable model for segmentation of macular OCT," Biomed. Opt. Express 5, 1062-1074 (2014)

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