Optic disk feature extraction via modified deformable model technique for glaucoma analysis

Pattern Recognition

Volumn 40, Issue 7, 2007, Pages 2063-2076

  Xu, Juan ^a   Chutatape, Opas ^b   Sung, Eric ^c   Zheng, Ce ^d   Chew Tec Kuan, Paul ^d  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b RANGSIT UNIVERSITY   (Thailand)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^d NATIONAL UNIVERSITY HOSPITAL   (Singapore)

Author keywords

Boundary detection; Cup; Deformable model; Fundus image; Optic disk; Snake

Indexed keywords

ALGORITHMS; BLOOD VESSELS; FUZZY LOGIC; IMAGE PROCESSING; OPTICAL DISK STORAGE; PROBLEM SOLVING;

BOUNDARY DETECTION; DEFORMABLE MODEL; FUNDUS IMAGE; GLAUCOMA ANALYSIS; OPTIC DISK;

FEATURE EXTRACTION;

EID: 33947673382     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2006.10.015     Document Type: Article

References (25)

1. Sinthanayothin C., Boyce J.A., Cook H.L., and Williamson T.H. Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images. British J. Ophthalmol. 83 (1999) 902-910
2. Tamur S., and Okamoto Y. Zero-crossing interval correction in tracing eye-fundus blood vessels. Pattern Recognition 21 3 (1988) 227-233
3. Pinz A., Bernogger S., Datlinger P., and Kruger A. Mapping the human retina. IEEE Trans. Med. Imaging 17 (1998) 606-619
4. H. Li, O. Chutatape, Automatic location of optic disk in retinal images, in: Proceedings of the International Conference on Image Processing, vol. 2, October 2001, pp. 837-840.
5. Lalonde M., Beaulieu M., and Gagnon L. Fast and robust optic disc detection using pyramidal decomposition and Hausdorff-based template matching. IEEE Trans. Med. Imaging 20 11 (2001) 1193-1200
6. A. Osareh, M. Mirmehd, B. Thomas, R. Markham, Comparison of colour spaces for optic disc localisation in retinal images, in: Proceedings of the 16th International Conference on Pattern Recognition, vol. 1, August 2002, pp. 743-746.
7. Lowell J., Hunter A., Steel D., Basu A., Ryder R., Fletcher E., and Kennedy L. Optic nerve head segmentation. IEEE Trans. Med. Imaging 23 2 (2004) 256-264
8. Hoover A., and Goldbaum M. Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels. IEEE Trans. Med. Imaging 22 8 (2003) 951-958
9. Foracchia M., Grisan E., and Ruggeri A. Detection of optic disc in retinal images by means of a geometrical model of vessel structure. IEEE Trans. Med. Imaging 23 10 (2004) 1189-1195
10. E. Trucco, P.J. Kamat, Locating the optic disk in retinal images via plausible detection and constraint satisfaction, in: Proceedings of the International Conference on Image Processing, October 2004, pp. 155-158 .
11. F. Mendels, C. Heneghan, J.P. Thiran, Identification of the optic disc boundary in retinal images using active contours, in: Proceedings of the IMVIP Conference, 1999, pp. 103-115.
12. Walter T., Klein J.C., Massin P., and Erginay A. A contribution of image processing to the diagnosis of diabetic retinopathy-detection of exudates in color fundus images of the human retina. IEEE Trans. Med. Imaging 21 10 (2002) 1236-1243
13. Li H., and Chutatape O. Boundary detection of optic disk by a modified ASM method. Pattern Recognition 36 9 (2003) 2093-2104
14. Li H., and Chutatape O. Automated feature extraction in color retinal images by a model based approach. IEEE Trans. Biomed. Eng. 51 2 (2004) 246-254
15. Malladi R., Sethian J.A., and Vemuri B.C. Shape modeling with front propagation: a level set approach. IEEE Trans. Pattern Anal. Mach. Intell. 17 2 (1995) 158-175
16. Corona E., Mitra S., Wilson M., Krile T., Kwon Y.H., and Soliz P. Digital stereo image analyzer for generating automated 3-D measures of optic disc deformation in glaucoma. IEEE Trans. Med. Imaging 21 10 (2002) 1244-1253
17. Quantitative three-dimensional imaging of the posterior segment with the Heidelberg Retina Tomograph, HRT tutorial, 〈http://www.heidelbergengineering.com/hrtf/hrt.html〉, 2005.
18. Jaffe G.J., and Caprioli J. Optical coherence tomography to detect and manage retinal disease and glaucoma. Am. J. Ophthalmol. 137 (2004) 156-169
19. Caprioli J., Klingbeil U., Sears M., and Pope B. Reproducibility of optic disc measurements with computerized analysis of stereoscopic video images. Arch. Ophthalmol. 104 7 (1986) 1035-1039
20. U. Klingbeil, Fundus geometry measured with the analyzing stereo video ophthalmoscope, book chapter, internal circulation documents.
21. Varma R., and Spaeth G.L. The PAR IS-2000: a new system for retinal digital image analysis. Ophthalmic Surg. 19 3 (1988) 183-192
22. Hrynchak P., Hutchings N., Jones D., and Simpson T. A comparison of cup-to-disc ratio measurement in normal subjects using optical coherence tomography image analysis of the optic nerve head and stereo fundus biomicroscopy. Ophthal. Physiol. Opt. 24 6 (2004) 543-550
23. Kass M., Witkin A., and Terzopoulos D. Snakes: active contour models. Int. J. Comput. Vision 1 (1987) 321-331
24. Sonka M., Hlavac V., and Boyle R. Imagep processing, analysis, and machine vision (1999), PWS Publishing, Pacific Grove, CA
25. Xu J., and Chutatape O. Auto-adjusted 3-D optic disk viewing from low-resolution stereo fundus image. Int. J. Comput. Biol. Med. 6 9 (2006) 921-940