Automatic segmentation of the optic nerve head for deformation measurements in video rate optical coherence tomography

Journal of Biomedical Optics

Volumn 20, Issue 11, 2015, Pages

  Hidalgo Aguirre, Maribel ^a,b   Gitelman, Julian ^b   Lesk, Mark Richard ^b,c   Costantino, Santiago ^b,c  

^a INSTITUT NATIONAL DE LA RECHERCHE SCIENTIFIQUE   (Canada)

^b MAISONNEUVE ROSEMONT HOSPITAL   (Canada)

^c UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

image processing; optic nerve head; Optical coherence tomography

Indexed keywords

ALGORITHMS; DEFORMATION; DIAGNOSIS; EYE PROTECTION; IMAGE PROCESSING; IMAGE SEGMENTATION; MATHEMATICAL MORPHOLOGY; OPHTHALMOLOGY; OPTICAL DATA PROCESSING; SIGNAL TO NOISE RATIO; TOMOGRAPHY;

ANALYSIS ALGORITHMS; AUTOMATED ALGORITHMS; AUTOMATIC SEGMENTATIONS; DEFORMATION MEASUREMENTS; INNER LIMITING MEMBRANES; LOW SIGNAL-TO-NOISE RATIO; MORPHOLOGICAL OPERATIONS; OPTIC NERVE HEAD;

OPTICAL TOMOGRAPHY;

ALGORITHM; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION STUDY; GLAUCOMA; HARDNESS; HUMAN; IMAGE ENHANCEMENT; MECHANICAL STRESS; OPTIC DISK; OPTICAL COHERENCE TOMOGRAPHY; PATHOLOGY; PATHOPHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; RETINOSCOPY; SENSITIVITY AND SPECIFICITY; VIDEORECORDING; YOUNG MODULUS;

ALGORITHMS; ELASTIC MODULUS; GLAUCOMA; HARDNESS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; OPTIC DISK; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINOSCOPY; SENSITIVITY AND SPECIFICITY; STRESS, MECHANICAL; TOMOGRAPHY, OPTICAL COHERENCE; VIDEO RECORDING;

EID: 84948773120     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.JBO.20.11.116008     Document Type: Article

References (26)

1. D. Huang et al., "Optical coherence tomography," Science 254, 1178 (1991).
2. H. A. Quigley, "Open-Angle Glaucoma," N. Engl. J. Med. 328(15), 1097-1106 (1993).
3. K. Singh et al., "Measurement of ocular fundus pulsation in healthy subjects using a novel Fourier-domain optical coherence tomography," Invest. Ophthalmol. Vision Sci. 52(12), 8927-8932 (2011).
4. K. Singh et al., "Pulsatile movement of the optic nerve head, the peripapillary retina in normal subjects, in glaucoma," Invest. Ophthalmol. Vision Sci. 53(12), 7819-7824 (2012).
5. T. Fabritius et al., "Automated segmentation of the macula by optical coherence tomography," Opt. Express 17(18), 15659-15669 (2009).
6. M. A. Mayer et al., "Retinal nerve fiber layer segmentation on FD-OCT scans of normal subjects, glaucoma patients," Biomed. Opt. Express 1(5), 1358-1381 (2010).
7. S. J. Chiu et al., "Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation," Opt. Express 18(18), 19413-19428 (2010).
8. M. D. Abramoff et al., "Automated segmentation of the cup, rim from spectral domain OCT of the optic nerve head," Invest. Ophthalmol. Vision Sci. 50(12), 5778-5784 (2009).
9. K. Lee et al., "Segmentation of the optic disc in 3-D OCT scans of the optic nerve head," IEEE Trans. Med. Imaging 29(1), 159-168 (2010).
10. D. C. Fernandez, H. M. Salinas, C. A. Puliafito, "Automated detection of retinal layers structures on optical coherence tomography images," Opt. Express 13(25), 10200-10216 (2005).
11. D. C. DeBuc et al., "Reliability, reproducibility of macular segmentation using a custom-built optical coherence tomography retinal image analysis software," J. Biomed. Opt. 14(6), 064023 (2009).
12. D. Cabrera Debuc et al., "Improving image segmentation performance, quantitative analysis via computer-aided grading methodology for optical coherence tomography retinal image analysis," J. Biomed. Opt. 15(4), 046015 (2010).
13. Y. Wang et al., "Quantitative analysis of the intraretinal layers, optic nerve head using ultra-high resolution optical coherence tomography," J. Biomed. Opt. 17(6), 066013 (2012).
14. T. F. Chan, L. A. Vese, "Active contours without edges," IEEE Trans. Image Process. 10(2), 266-277 (2001).
15. C. Li et al., "Level set evolution without re-initialization: a new variational formulation," in Proc. IEEE Conf. on Computer Vision, Pattern Recognition, pp. 430-436, IEEE (2005).
16. W. Yu et al., "Fast, robust active contours for image segmentation," in Proc. IEEE Int. Conf. on Image Processing (ICIP), (2010).
17. R. Ksantono, B. Boufama, S. Memar, "A new efficient active contour model without local initialization for salient object detection," EURASIP J. Image Video Process. 2013, 40 (2013).
18. M. J. A. Girard et al., "Shadow removal, contrast enhancement in optical coherence tomography images of the human optic nerve head," Invest. Ophthalmol. Vision Sci. 52(10), 7738-7748 (2011).
19. R. Koprowski, Z. Wrobel, "Identification of layers in a tomographic image of an eye based on the canny edge detection," in Information Technologies Biomedicine, Advances in Soft Computing, Vol. 47, pp. 232-239, Springer-Verlag, Berlin, Heidelberg (2008).
20. R. Koprowski, Z. Wrobel, "Hierarchic approach in the analysis of tomographic eye image," in Computer Recognition System 3, Advances in Intelligent, Soft Computing, Vol. 57, pp. 463-470, Springer-Verlag, Berlin, Heidelberg (2009).
21. A. J. Belleza, R. T. Burgoyne, "The optic nerve head as a biomechanical structure: initial finite element modeling," Invest. Ophthalmol. Vision Sci. 41(10), 2991-3000 (2000).
22. I. A. Sigal et al., "Predicted extension, compression, shearing of the optic nerve head tissues," Exp. Eye Res. 85(3), 312-322 (2007).
23. J. B. Jonas, M. C. Fernandez, J. Sturmer, "Pattern of glaucomatous neuroretinal rim loss," Ophthalmology 100(1), 63-68 (1993).
24. C. Breusegem et al., "The effect of trabeculectomy on ocular pulse amplitude," Invest. Ophthalmol. Vision Sci. 51(1), 231-235 (2010).
25. I. A. Sigal, J. G. Flanagan, C. R. Ethier, "Factors influencing optic nerve head biomechanics," Invest. Ophthalmol. Vision Sci. 46(11), 4189-4199 (2005).
26. L. Beaton et al., "Non-invasive measurement of choroidal volume change, ocular rigidity through automated segmentation of highspeed OCT imaging," Biomed. Opt. Express 6(5), 1694-1706 (2015).