A Review of Algorithms for Segmentation of Optical Coherence Tomography from Retina

Journal of Medical Signals and Sensors

Volumn 3, Issue 1, 2013, Pages 45-60

  Rabbani, Hossein ^a   Kafieh, Raheleh ^a   Kermani, Saeed ^b  

^a ISFAHAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b ISFAHAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

Optical coherence tomography; retina; segmentation

Indexed keywords

EID: 84922522798     PISSN: None     EISSN: 22287477     Source Type: Journal    
DOI: 10.4103/2228-7477.114321     Document Type: Article

References (55)

1. Huang D, Swanson EA, Lin CP, Schuman JS, Stinson WG, Chang W, et al. Optical coherence tomography. Science 1991;254:1178-81.
2. DeBuc DC. A Review of Algorithms for Segmentation of Retinal Image Data Using Optical Coherence Tomography. Image Segmentation In Tech. (On-line). Available from: Http://www.cdn.intechopen.com/pdfs/15371/InTech-A-review-of-algorithms-for-segmentation-of-retinal-image-data-using-optical-coherence-tomography.pdf [Last accessed on 2009 Jul 13].
3. von Helmholtz H.Optalmoscope. In: World Encyclopedia. New York: Oxford University Press; 1851
4. Delori FC, Gragoudas ES. Monochromatic ophthalmoscopy and fundus photography. The normal fundus. Arch Ophthalmol 1977;95:861-8.
5. Novotny HR, Alvis DL. A method of photographing fluorescence in circulating blood in the human retina. Circulation 1961;24:82-6.
6. Zeimer R, Shahidi M. A new method for rapid mapping of the retinal thickness at the posterior pole. Invest Ophthalmol Vis Sci 1996;37:1994-2001.
7. Rohrschneider K, Burk RO, Kruse FE, Volcker HE.Reproducibility of the optic nerve head topography with a new laser tomographic scanning device. Ophthalmology1994;101:1044-9.
8. Blumenthal EZ, Weinreb RN. Assessment of the retinal nerve fiber layer in clinical trials of glaucoma neuroprotection. Surv Ophthalmol 2001;45 (Suppl 3):S305-12.
9. Lee K. Segmentations of the Intraretinal Surfaces, Optic Disc And Retinal Blood Vessels In 3d-Oct Scans, PhD thesis. Iowa, United States: The University of Iowa; 2009.
10. Hee MR, Izatt JA, Swanson EA, Huang D, Schuman JS, Lin CP, et al. Optical coherence tomography of the human retina. Arch Ophthalmol 1995;113:325-32.
11. Hee MR, Izatt JA, Swanson EA, Huang D, Schuman JS, Puliafito CA, et al. Optical coherence tomography formicron-resolution ophthalmic imaging. IEEE Eng Med Biol1995;14:67-76.
12. Izatt JA, Hee MR, Swanson EA, Lin CP, Huang D, Schuman JS, et al. Micrometer-scale resolution imaging of the anterior eye in vivo with optical coherence tomography. Arch Ophthalmol 1994;112:1584-9.
13. Brezinski ME, Tearney GJ, Bouma BE, Izatt JA, Hee MR, Swanson EA, et al. Optical coherence tomography for optical biopsy: Properties and demonstration of vascular pathology. Circulation 1996;93:1206-13.
14. Choma MA, Sarunic MV, Yang C, Izatt JA. Sensitivity advantage of swept source and fourier domain optical coherence tomography. Opt Express 2003;11:2183-9.
15. Garvin M. Automated 3-d segmentation and analysis of retinal optical Coherence tomography images, PhD thesis. Iowa, United States: The University of Iowa; 2008.
16. Remington LA. Clinical Anatomoy of the Visual System. 2 nd ed. St. Louis, MO: Elsevier Inc; 2005.
17. Wollstein G, Paunescu LA, Ko TH, Fujimoto JG, Kowalevicz A, Hartl I, et al. Ultrahigh-resolution optical coherence tomography in glaucoma.Ophthalmology 2005;112:229-37.
18. DeLeón-Ortega JE, Arthur SN, McGwin G, Xie A, Monheit BE, Girkin CA. Discrimination between glaucomatous and nonglaucomatous eyes using quantitative imaging devices and subjective optic nerve head assessment. Invest Ophthalmol Vis Sci 2006;47:3374-80.
19. Chen HY, Huang ML. Discrimination between normal and glaucomatous eyes using Stratus optical coherence tomography in Taiwan Chinese subjects. Graefes Arch Clin Exp Ophthalmol 2005;243:894-902. Available from: Http://www.dx.doi.org/10.1007/s00417-005-1140-y [Last accessed on 2010 June 6].
20. Ishikawa H, Stein DM, Wollstein G, Beaton S, Fujimoto JG, Schuman JS. Macular segmentation with optical coherence tomography. Invest Ophthalmol Vis Sci 2005;46:2012-7.
21. Medeiros F, Zangwill L, Bowd C, Vessani RM, Susanna R Jr, Weinreb RN. Evaluation of retinal nerve fiber layer, optic nerve head, and macular thickness measurements for glaucoma detection using optical coherence tomography. Am J Ophthalmol 2005;139:44-55.
22. George A, Dillenseger JA, Weber A, Pechereau A. Optical coherence tomography image processing. Invest Ophthalmol Vis Sci 2000;41:165-73.
23. Koozekanani D, Boyer KL, Roberts C. Retinal thickness measurements in optical coherence tomography using a markov boundary model. IEEE Trans Med Imaging 2001;20:900-16.
24. Herzog A, Boyer KL, Roberts C. Robust Extraction of the Optic Nerve Head inOptical Coherence Tomography. Computer Vision, Mathematical Methods in Medical and Biomedical Image Analysis (CVAMIAMMBIA). Springer Berlin Heidelberg: Prague, Czech Republic, publisher; 2004. p. 395-407.
25. Shahidi M, Wang Z, Zelkha R. Quantitative thickness measurement of retinal layers imaged by optical coherence tomography. Am J Ophthalmol 2005;139:1056-61.
26. Srinivasan VJ, Monson BK, Wojtkowski M, Bilonick RA, Gorczynska I, Chen R, et al. Characterization of outer retinal morphology with high-speed, ultrahigh-resolution optical coherence tomography. Invest Ophthalmol Vis Sci 2008;18:1571-9.
27. Lee K, Abramoff MD, Niemeijer M, Garvin MK, Sonka M. 3D segmentation of retinal blood vessels in spectraldomain OCT volumes of the optic nerve head. Proc. of SPIE Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 7626 (2010): 76260V. San Diego, California.
28. Boyer KL, Herzog A, Roberts C. Automatic recovery of the optic nervehead geometry in optical coherence tomography. IEEE Trans Med Imaging 2006;25:553-70.
29. Mayer MA, Tornow RP, Bock R, Hornegger J, Kruse FE. Automatic nerve fiber layer segmentation and geometry correction on spectral domain OCT Images using fuzzy c-means clustering. The Association for Research in Vision and Ophthalmology, Inc. (ARVO) (Annual Meeting) in Fort Lauderdale, Florida, USA, 2008.
30. Baroni M, Fortunato JG, Torre AL. Towards quantitative analysis of retinal features in optical coherence tomography. Med Eng Phys 2007;29:432-41.
31. Bagci AM, Shahidi M, Ansari R, Blair M, Blair NP, Zelkha R. Thickness profile of retinal layers by opticalcoherence tomography image segmentation. Am J Ophthalmol 2008;146:679-87.
32. Mishra A, Wong A, Bizheva K, Clausi DA. Intra-retinal layer segmentation in optical coherence tomography images. Opt Express 2009;17:23719-28.
33. Fuller AR, Zawadzki RJ, Choi S, Wiley DF, Werner JS, Hamann B. Segmentation of threedimensional retinal image data. IEEE Trans Vis Comput Graph 2007;13:1719-26.
34. Quellec G, Lee K, Dolejsi M, Garvin MK, Abràmoff MD, Sonka M. Three-dimensional analysis of retinal layer texture: Identification of fluid-filled regions in SD-OCT of the macula. IEEE Trans Med Imaging 2010;29:1321-30.
35. Gregori G, Knighton RW. Arobust algorithm for retinal thickness measurements using optical coherence tomography (Stratus OCT). Invest Ophthalmol Vis Sci 2004;45:E-Abstract 3007.
36. Garvin MK, Abramoff MD, Kardon R, Russell SR, Xiaodong W, Sonka M. Intraretinallayer segmentation ofmacular optical coherence tomography images using optimal3-D graph search. IEEE Trans Med Imaging 2008;27:1495-505.
37. Fernández DC, Villate N, Puliafito CA, Rosenfeld PJ. Comparing total macular volume changes measured by optical coherence tomography with retinal lesion volume estimated by active contours. Invest Ophthalmol Vis Sci 2004;45:E-Abstract 3072.
38. Kafieh R, Rabbani H, Abramoff MD, Sonka M. OCT Image Alignment Using Diffusion Maps, accepted in SPIE Medical Imaging Conference. San Diego, USA: SPUE publisher; 2012.
39. Yazdanpanah A, Hamarneh G, Smith B, Sarunic M. Intra-retinal layer segmentation in optical coherence tomography using an active contour approach. Med Image Comput Comput Assist Interv 2009;12:649-56.
40. Abràmoff MD, Lee K, Niemeijer M, Alward WL, Greenlee EC, Garvin MK, et al. Automated segmentation of the cup and rim from spectral domain OCT of the optic nerve head. Invest Ophthalmol Vis Sci 2009;50:5778-84.
41. Yang Q, Reisman CA, Wang Z, Fukuma Y, Hangai M, Yoshimura N, et al. Automated layer segmentation of macular OCT images using dual-scale gradient information. Opt Express 2010;18:21294-307.
42. Kafieh R, Rabbani H, Abramoff MD, Sonka M. Intra-retinal layer segmentation of 3d optical coherence tomography using coarse grained diffusion map, submited in Medical Image Analysis, 2012.
43. Hood DC, Fortune B, Arthur SN, Xing D, Salant JA, Ritch R, et al. Blood vessel contributions to retinal nerve fiber layer thickness profiles measured with optical coherence tomography. J Glaucoma 2008;17:519-28.
44. Shijian L, Carol Y, Jiang L. Automated layer segmentation of optical coherence tomography images. IEEE Trans Biomed Eng 2010;57:2606-8.
45. Loduca AL, Zhang C, Zelkha R, Shahidi M. Thickness mapping of retinal layers by spectral-domain optical coherence tomography. Am J Ophthalmol 2011;150:849-55.
46. Fabritius T, Makita S, Miura M, Myllyla R, Yasuno Y. Automated segmentation of the macula by optical coherence tomography. Opt Express 2009;17:15659-69.
47. Koprowski R, Wrobel Z. Layers recognition in tomographic eye image based on random contour analysis. Computer recognition Syst 2009;3:471-8.
48. Lu S, Cheung C, Liu J, Lim S, Leung C, Wong T. Automated layer segmentation of optical coherence tomography images.IEEE Trans Biomed Eng 2010;57:2605-8.
49. Tan O, Li G, Lu AT, Varma R, Huang D. Mapping of macular substructures with optical coherence tomography for glaucoma diagnosis. Ophthalmology 2008;115:949-56.
50. Kajiæ V, Považay B, Hermann B, Hofer B, Marshall D, Rosin PL, et al. Robust segmentation of intraretinal layers in the normal human fovea using a novel statistical model based on texture and shape analysis. Opt Express 2010;18:14730-44.
51. Mujat M, Chan R, Cense B, Park B, Joo C, Akkin T, et al. Retinal nerve fiber layer thickness map determined from optical coherence tomography images. Opt Express 2005;13:9480-91.
52. Mayer MA, Hornegger J, Mardin CY, Tornow RP. Retinal nerve fiber layer segmentation on FD-OCT scans of normal subjects and glaucoma patients. Biomed Opt Express 2010;1:1358-83.
53. Ghorbel I, Rossant F, Bloc I, Tic S, Paques M. Automated segmentationof macular layers in OCT images and quantitative evaluation of performances. Pattern Recognit 2011;44:1590-603.
54. Vermeer KA, van der Schoot J, Lemij HG, de Boer JF. Automated segmentation by pixel classification of retinal layers in ophthalmic OCT images.Biomedical Opt Express 2011;2:1743-56.
55. Chiu SJ, Li CT, Nicholas P, Toth CA, Izatt JA, Farsiu S. Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation. Opt Express 2010;18:19413-28.