Vessel segmentation and width estimation in retinal images using multiscale production of matched filter responses

Expert Systems with Applications

Volumn 39, Issue 9, 2012, Pages 7600-7610

  Li, Qin ^a   You, Jane ^b   Zhang, David ^b  

^a Shenzhen Academy of Metrology and Quality Inspection   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Fusion strategy; Matched filter; Multiscale production; Retinal image; Scale normalization; Scale selection; Vessel segmentation; Width estimation

Indexed keywords

FUSION STRATEGIES; MULTISCALES; RETINAL IMAGE; SCALE NORMALIZATION; SCALE SELECTION; VESSEL SEGMENTATION;

ESTIMATION; MATCHED FILTERS; OPHTHALMOLOGY;

IMAGE SEGMENTATION;

EID: 84862826195     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.12.046     Document Type: Article

References (40)

1. B. Al-Diri, A. Hunter, and D. Steel An active contour model for segmenting and measuring retinal vessels IEEE Transactions on Medical Imaging 28 2009 1488 1497
2. S.R. Aylward, and E. Bullitt Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction IEEE Transactions on Medical Imaging 21 2 2002 61 75
3. P. Bao, and L. Zhang Noise reduction for magnetic resonance image via adaptive multiscale products thresholding IEEE Transactions on Medical Imaging 22 2003 1089 1099
4. P. Bao, L. Zhang, and X.L. Wu Canny edge detection enhancement by scale multiplication IEEE Transactions on Pattern Analysis and Machine Intelligence 27 9 2005 1485 1490
5. A. Can, H. Shen, J.N. Turner, H.L. Tanenbaum, and B. Roysam Rapid automated tracing and feature extraction from retinal fundus images using direct exploratory algorithms IEEE Transactions on Information Technology in Biomedicine 3 2 1999 125 138
6. J. Canny A computational approach to edge detection IEEE Transactions on Pattern Recognition and Machine Intelligence 8 1986 679 698
7. S. Chaudhuri, S. Chatterjee, N. Katz, M. Nelson, and M. Goldbaum Detection of blood vessels in retinal images using two-dimensional matched filters IEEE Transactions on Medical Imaging 8 1989 263 269
8. Frangi, A.; Niessen, W. J.; Vincken, K. L.; & Viergever, M. A. (1998). Multiscale vessel enhancement filtering. In Proceedings of the first MICCAI (pp. 130-137).
9. R. Gelman, M.E. Martinez-Perez, D.K. Vanderveen, A. Moskowitz, and A.B. Fulton Diagnosis of plus disease in retinopathy of prematurity using retinal image multiscale analysis Investigative Ophthalmology and Visual Science 46 2005 4734 4738
10. R.C. Gonzales, and R.E. Woods Digital image processing 3rd ed. 2007 Prentice Hall
11. E. Grisan, M. Foracchia, and A. Ruggeri A novel method for the automatic grading of retinal vessel tortuosity IEEE Transactions on Medical Imaging 27 2008 310 319
12. C. Heneghan, J. Flynn, M. O'Keefe, and M. Cahill Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis Medical Image Analysis 6 2002 407 429
13. A. Hoover, V. Kouznetsova, and M. Goldbaum Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response IEEE Transactions on Medical Imaging 19 3 2000 203 210
14. X. Jiang, and D. Mojon Adaptive local thresholding by verification based multithreshold probing with application to vessel detection in retinal images IEEE Transactions on Pattern Analysis and Machine Intelligence 25 1 2003 131 137
15. Kanski, J.; Milewski, S.; Damato, B.; & Tanner, V. (2004). Diseases of the ocular fundus. Mosby: Elsevier.
16. B. Lam, and H. Yan A novel vessel segmentation algorithm for pathological retina images based on the divergence of vector fields IEEE Transactions on Medical Imaging 27 2008 237 246
17. T. Lindeberg Feature detection with automatic scale selection International Journal of Computer Vision 30 1998 79 116
18. I. Liu, and Y. Sun Recursive tracking of vascular networks in angiograms based on the detection-deletion scheme IEEE Transactions on Medical Imaging 12 2 1993 334 341
19. S. Mallat, and S. Zhong Characterization of signals from multiscale edges IEEE Transactions on Pattern Analysis and. Machine Intelligence 4 1992 710 732
20. Martínez-Pérez, M. E.; Hughes, A. D.; Stanton, A. V.; Thom, S. A.; Bharath, A. A.; & Parker, K. H. (1999). Retinal blood vessel segmentation by means of scale-space analysis and region growing. In Proceedings of the 2nd MICCAI (pp. 90-97).
21. M.E. Martínez-Pérez, A.D. Hughes, and S.A. Thom Segmentation of blood vessels from red-free and fluorescein retinal images Medical Image Analysis 11 2007 47 61
22. T. McInerney, and D. Terzopoulos T-snakes: Topology adaptive snakes Medical Image Analysis 4 2000 73 91
23. A.M. Mendona, and A. Campilho Segmentation of retinal blood vessels by combining the detection of centerlines morphological reconstruction IEEE Transactions on Medical Imaging 25 9 2006 1200 1213
24. S. Nikam, and S. Agarwal Ridgelet-based fake fingerprint detection Neurocomputing 72 2009 2491 2506
25. R. Perfetti, E. Ricci, D. Casali, and G. Costantini Cellular neural networks with virtual template expansion for retinal vessel segmentation IEEE Transactions on Circuits and Systems - II: Express Briefs 54 2007 141 145
26. S. Pinz, Bernogger, P. Datlinger, and A. Kruger Mapping the human retina IEEE Transactions on Medical Imaging 17 1998 606 619
27. E. Ricci, and R. Perfetti Retinal blood vessel segmentation using line operators and support vector classification IEEE Transactions on Medical Imaging 26 2007 1357 1365
28. J.V.B. Soares, J.J.G. Leandro, R.M. Cesar Jr.; H.F. Jelinek, and M.J. Cree Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification IEEE Transactions on Medical Imaging 25 9 2006 1214 1222
29. M. Sofka, and C.V. Stewart Retinal vessel centerline extraction using multiscale matched filters, confidence and edge measures IEEE Transactions on Medical Imaging 25 12 2006 1531 1546
30. J.J. Staal, M.D. Abràmoff, M. Niemeijer, M.A. Viergever, and B. van Ginneken Ridge based vessel segmentation in color images of the retina IEEE Transactions on Medical Imaging 23 4 2004 501 509
31. C. Steger An unbiased detector of curvilinear structures IEEE Transactions on Pattern Analysis and Machine Intelligence 20 1998 113 125
32. E.J. Sussman, W.G. Tsiaras, and K.A. Soper Diagnosis of diabetic eye disease Journal of American Medical Association 247 1982 3231 3234
33. S. Tamura, Y. Okamoto, and K. Yanashima Zero-crossing interval correction in tracing eye-fundus blood vessels Pattern Recognition 21 3 1988 227 233
34. Toledo, R.; Orriols, X.; Binefa, X.; Radeva, P.; Vitrià, J.; & Villanueva, J. (2000). Tracking of elongated structures using statistical snakes. In IEEE conference on CVPR (Vol. 1, pp. 157-162).
35. Y. Tolias, and S. Panas A fuzzy vessel tracking algorithm for retinal images based on fuzzy clustering IEEE Transactions on Medical Imaging 17 1998 263 273
36. M. Vlachos, and E. Dermatas Multi-scale retinal vessel segmentation using line tracking Computerized Medical Imaging and Graphics 34 3 2010 213 227
37. P. Wilkinson, F. Ferris, R. Klein, P. Lee, C. Agardh, and M. Davis Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales Ophthalmology 110 2003 1677 1682
38. D. Wu, M. Zhang, J.C. Liu, and W. Bauman On the Adaptive Detection of Blood Vessels in Retinal Images IEEE Transactions on Biomedical Engineering 53 2 2006 341 343
39. F. Zana, and J.-C. Klein Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation IEEE Transactions on Image Processing 10 7 2001 1010 1019
40. T. Zhu Fourier cross-sectional profile for vessel detection on retinal images Computerized Medical Imaging and Graphics 34 3 2010 203 212