Automated segmentation of retinal layers in oct imaging and derived ophthalmic measures

Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009

Volumn , Issue , 2009, Pages 1370-1373

  Rossant, Florence ^a   Ghorbel, Itebeddine ^a,b,c   Bloch, Isabelle ^b   Paques, Michel ^d   Tick, Sarah ^d  

^a ISEP   (France)

^b INSTITUT TELECOM   (France)

^c Fovea Pharmaceuticals   (France)

^d CENTRE HOSPITALIER NATIONAL D OPHTALMOLOGIE DES QUINZE VINGTS   (France)

Author keywords

Automated segmentation; OCT retinal imaging; Quantitative evaluation

Indexed keywords

AUTOMATED METHODS; AUTOMATED SEGMENTATION; HIGH RESOLUTION; MANUAL SEGMENTATION; OCT IMAGING; OCT RETINAL IMAGING; QUANTITATIVE EVALUATION; QUANTITATIVE MEASURES; RETINAL LAYERS;

AUTOMATION;

OPHTHALMOLOGY;

EID: 70449359670     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2009.5193320     Document Type: Conference Paper

References (11)

1. Topcon, "Topcon Europe medical BV," Dec. 2008; http://www.topcon-medical.eu/index.html .
2. H. Ishikawa, D. M. Stein, G. Wollstein, S. Beaton, J. G. Fujimoto and J. S. Schuman, "Macular Segmentation with Optical Coherence Tomography," Invest. Ophthalmol. Visual Sci., vol. 46, pp. 2012-2017, 2005.
3. D. Koozekanani, K. Boyer and C. Roberts, "Retinal Thickness Measurements from Optical Coherence Tomography Using a Markov Boundary Model," IEEE transaction on medical imaging, Vol. 20, No. 9, pp. 900-916, Sept. 2001.
4. M. Baroni, P. Fortunat and A. La Torre, "Towards Quantitative Analysis of Retinal Features in Optical Coherence Tomography," Med. Eng. & Phys., Vol. 29, No. 4, pp. 432-441, 2007.
5. A. M. Bagci, M. Shahidi, R. Ansari, M. Blair, N. P. Blair and R. Zelkha, "Thickness Profile of Retinal Layers by Optical Coherence Tomography Image Segmentation," American Journal of Ophthalmology , Vol. 146 , No. 5 , pp. 679 - 687, Aug. 2008.
6. D.C. Fernandez, H. M. Salinas and C. A. Puliafito, "Automated Detection of Retinal Layer Structures on Optical Coherence Tomography images," Optics Express, Vol. 13, No. 25, pp. 10200-10216, Dec. 2005.
7. M.K. Garvin, M.D. Abramoff, R. Kardon, S.R. Russell, W. Xiaodong and M. Sonka, "Intraretinal Layer Segmentation of Macular Optical Coherence Tomography Images Using Optimal 3-D Graph Search," IEEE Transaction on Medical Imaging, Vol. 27, No. 10, pp. 1495-1505, Oct. 2008.
8. J. Weickert, B.M.T.H. Romeny and M.A. Viergever, "Efficient and Reliable Schemes for Nonlinear Diffusion Filtering," IEEE Trans. on Image Processing, Vol. 7, No. 3, pp. 398 - 410, 1998.
9. C. Xu and J. L. Prince, "Snakes, Shapes, and Gradient Vector Flow," IEEE Trans. on Image Processing, Vol. 7, No. 3, pp. 359-369, Mar. 1998.
10. R.G Brown and P.Y.C Hwang, "The Discrete Kalman Filter, State-Space Modeling and Simulation," in Introduction to Random Signals and Applied Kalman Filtering, 3th Ed. New York: J.W, 1997, Ch. 5, Sec. 5.5, pp. 214-220.
11. S. Geman and D. Geman, "Stochastic Relaxation, Gibbs Distribution, and the Bayesian Restauration of Images," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-6, No. 6, pp. 721-741, Nov. 1984.