Sparsity-based retinal layer segmentation of optical coherence tomography images

Jason Tokayer, Antonio Ortega, David Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A novel method for optical coherence tomography retinal image segmentation utilizing sparsity constraints is demonstrated. Retinal images are sparse in the layer domain. The algorithm thus transforms an input retinal image into a layer-like domain, and then uses graph theory and dynamic programming to extract the retinal layers from the sparse representation. The number of identified boundaries is not fixed and is determined by the algorithm at run-time. Results show that this method can segment up to nine layer boundaries without making overly restrictive assumptions about anatomic structure.

Original languageEnglish (US)
Title of host publicationProceedings - International Conference on Image Processing, ICIP
Pages449-452
Number of pages4
DOIs
StatePublished - 2011
Event2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium
Duration: Sep 11 2011Sep 14 2011

Other

Other2011 18th IEEE International Conference on Image Processing, ICIP 2011
CountryBelgium
CityBrussels
Period9/11/119/14/11

Fingerprint

Optical tomography
Graph theory
Image segmentation
Dynamic programming
Boundary layers

Keywords

  • optical coherence tomography
  • segmentation
  • sparsity

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Tokayer, J., Ortega, A., & Huang, D. (2011). Sparsity-based retinal layer segmentation of optical coherence tomography images. In Proceedings - International Conference on Image Processing, ICIP (pp. 449-452). [6116547] https://doi.org/10.1109/ICIP.2011.6116547

Sparsity-based retinal layer segmentation of optical coherence tomography images. / Tokayer, Jason; Ortega, Antonio; Huang, David.

Proceedings - International Conference on Image Processing, ICIP. 2011. p. 449-452 6116547.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tokayer, J, Ortega, A & Huang, D 2011, Sparsity-based retinal layer segmentation of optical coherence tomography images. in Proceedings - International Conference on Image Processing, ICIP., 6116547, pp. 449-452, 2011 18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, 9/11/11. https://doi.org/10.1109/ICIP.2011.6116547
Tokayer J, Ortega A, Huang D. Sparsity-based retinal layer segmentation of optical coherence tomography images. In Proceedings - International Conference on Image Processing, ICIP. 2011. p. 449-452. 6116547 https://doi.org/10.1109/ICIP.2011.6116547
Tokayer, Jason ; Ortega, Antonio ; Huang, David. / Sparsity-based retinal layer segmentation of optical coherence tomography images. Proceedings - International Conference on Image Processing, ICIP. 2011. pp. 449-452
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