Robust vessel segmentation in fundus images

International Journal of Biomedical Imaging

Volumn 2013, Issue , 2013, Pages

  Budai, A ^a,b   Bock, R ^a   Maier, A ^a   Hornegger, J ^a   Michelson, G ^a,c  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b INTERNATIONAL MAX PLANCK RESEARCH SCHOOL FOR OPTICS AND IMAGING   (Germany)

^c Interdisciplinary Center of Ophthalmic Preventive Medicine and Imaging (IZPI)   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84893786434     PISSN: 16874188     EISSN: 16874196     Source Type: Journal    
DOI: 10.1155/2013/154860     Document Type: Article

References (42)

1. Frangi A. F., Niessen W. J., Vincken K. L., Viergever M. A., Multiscale Vessel Enhancement Filtering 1998 Heidelberg, Germany Springer
2. Kirbas C., Quek F., A review of vessel extraction techniques and algorithms. ACM Computing Surveys 2004 36 2 81 121 2-s2.0-28644434715 10.1145/1031120.1031121 (Pubitemid 43891429)
3. Patton N., Aslam T. M., MacGillivray T., Deary I. J., Dhillon B., Eikelboom R. H., Yogesan K., Constable I. J., Retinal image analysis: concepts, applications and potential. Progress in Retinal and Eye Research 2006 25 1 99 127 2-s2.0-27644501991 10.1016/j.preteyeres.2005.07.001 (Pubitemid 41566644)
4. Chaudhuri S., Chatterjee S., Katz N., Nelson M., Goldbaum M., Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Transactions on Medical Imaging 1989 8 3 263 269 2-s2.0-0024734454 10.1109/42.34715 (Pubitemid 20617572)
5. Goldbaum M., Moezzi S., Taylor A., Chatterjee S., Boyd J., Hunter E., Jain R., Automated diagnosis and image understanding with object extraction, object classification, and inferencing in retinal images. Proceedings of the IEEE International Conference on Image Processing (ICIP '96) September 1996 695 698 2-s2.0-0030394868
6. Odstrčilík J., Jan J., Kolar R., Gazarek J., Improvement of vessel segmentation by matched filtering in colour retinal images. Proceedings of the World Congress on Medical Physics and Biomedical Engineering (IFMBE '09) 2009 327 3330
7. Odstrčilík J., Kolar R., Budai A., Hornegger J., Jan J., Gazarek J., Kubena T., Cernosek P., Svoboda O., Angelopoulou E., Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database. IET Image Processing 2013 7 4 373 383 10.1049/iet-ipr.2012.0455
8. Sofka M., Stewart C. V., Retinal vessel centerline extraction using multiscale matched filters, confidence and edge measures. IEEE Transactions on Medical Imaging 2006 25 12 1531 1546 2-s2.0-33845584832 10.1109/TMI.2006.884190 (Pubitemid 44936704)
9. Hoover A., Kouznetsova V., Goldbaum M., Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response. IEEE Transactions on Medical Imaging 2000 19 3 203 210 2-s2.0-0033623974 10.1109/42.845178
10. Wu C.-H., Agam G., Stanchev P., A hybrid filtering approach to retinal vessel segmentation. Proceedings of the 4th IEEE International Symposium on Biomedical Imaging (ISBI '07) April 2007 604 607 2-s2.0-36348982707 10.1109/ISBI.2007.356924
11. Kande G. B., Subbaiah P. V., Savithri T. S., Unsupervised fuzzy based vessel segmentation in pathological digital fundus images. Journal of Medical Systems 2010 34 5 849 858 2-s2.0-77957551841 10.1007/s10916-009-9299-0
12. Zhang B., Zhang L., Zhang L., Karray F., Retinal vessel extraction by matched filter with first-order derivative of Gaussian. Computers in Biology and Medicine 2010 40 4 438 445 2-s2.0-77950864744 10.1016/j.compbiomed.2010.02.008
13. Jain R., Kasturi R., Schunk B., Machine Vision 1995 New York, NY, USA McGraw-Hill
14. Eiho S., Sekiguchi H., Sugimoto N., Hanakawa T., Urayama S., Branch-based region growing method for blood vessel segmentation. Proceedings of the International Congress for Photogrammetry and Remote Sensing 2004
15. Cree M. J., Cornforth D., Jelinek H. F., Vessel segmentation and tracking using a two-dimensional model. Proceedings of the International Conference on Image and Vision Computing New Zealand (IVCNZ '05) 2005 Dunedin, New Zealand 345 350
16. Quek F. K. H., Kirbas C., Vessel extraction in medical images by wave-propagation and traceback. IEEE Transactions on Medical Imaging 2001 20 2 117 131 2-s2.0-0035241673 10.1109/42.913178 (Pubitemid 32407033)
17. Hunter A., Lowell J., Steel D., Tram-line filtering for retinal vessel segmentation. Proceedings of the 3rd European Medical and Biological Engineering Conference 2005
18. Wink O., Niessen W. J., Viergever M. A., Multiscale vessel tracking. IEEE Transactions on Medical Imaging 2004 23 1 130 133 2-s2.0-0347968020 10.1109/TMI.2003.819920
19. Kass M., Witkin A., Terzopoulos D., Snakes: active contour models. International Journal of Computer Vision 1988 1 4 321 331 2-s2.0-34250090755 10.1007/BF00133570
20. Rueckert D., Burger P., Contour fitting using stochastic and probabilistic relaxation for Cine MR Images. Computer Assisted Radiology 1995 Berlin, Germany Springer 137 142
21. Hinz M., Toennies K. D., Grohmann M., Pohle R., Active double-contour for segmentation of vessels in digital subtraction angiography. Medical Imaging 2001 Image Processing February 2001 1554 1562 Proceedings of SPIE 2-s2.0-0034849273 10.1117/12.431040
22. Al-Diri B., Hunter A., A ribbon of twins for extracting vessel boundaries. Proceedings of the 3rd European Medical and Biological Engineering Conference (EMBEC '05) 2005
23. Manniesing R., Viergever M. A., Niessen W. J., Vessel axis tracking using topology constrained surface evolution. IEEE Transactions on Medical Imaging 2007 26 3 309 316 2-s2.0-33847782665 10.1109/TMI.2006.891503 (Pubitemid 46392340)
24. Dizdaroglu B., Ataer-Cansizoglu E., Kalpathy-Cramer J., Keck K., Chiang M. F., Erdogmus D., Level sets for retinal vasculature segmentation using seeds from ridges and edges from phase maps. Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing September 2012 Santander, Spain IEEE
25. Brieva J., Gonzalez E., Gonzalez F., Bousse A., Bellanger J. J., A level set method for vessel segmentation in coronary angiography. Proceedings of the 27th IEEE Annual International Conference of the Engineering in Medicine and Biology Society (EMBS '05) September 2005 IEEE 6348 6351 2-s2.0-33846937369
26. Staal J., Abramoff M. D., Niemeijer M., Viergever M. A., van Ginneken B.,. DRIVE public online database, http://www.isi.uu.nl/Research/Databases/ DRIVE/
27. Shi L., Funt B., Hamarneh G., Quaternion color curvature. Proceedings of the 16th Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications November 2008 338 341 2-s2.0-65649113606
28. Petrou M., Petrou C., Image Processing: The Fundamentals 2010 2nd Chichester, UK John Wiley & Sons
29. Tomasi C., Manduchi R., Bilateral filtering for gray and color images. Proceedings of the 6th IEEE International Conference on Computer Vision (ICCV '98) January 1998 839 846 2-s2.0-0032319446
30. Paris S., Kornprobst P., Tumblin J., Durand F., Bilateral filtering: theory and applications. Foundations and Trends in Computer Graphics and Vision 2009 4 1 1 73 2-s2.0-70350057624 10.1561/0600000020
31. Canny J., A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 1986 8 6 679 698 2-s2.0-0022808786
32. Hoover A., Goldbaum M.,. STARE public online database, http://www.ces.clemson.edu/ahoover/stare/
33. Budai A., Odstrčilík J.,. High Resolution Fundus Image Database, September 2013
34. Marín D., Aquino A., Gegúndez-Arias M. E., Bravo J. M., A new supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features. IEEE Transactions on Medical Imaging 2011 30 1 146 158 2-s2.0-78650885895 10.1109/TMI.2010.2064333
35. Soares J. V. B., Leandro J. J. G., Cesar R. M. Jr., Jelinek H. F., Cree M. J., Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification. IEEE Transactions on Medical Imaging 2006 25 9 1214 1222 2-s2.0-33748099339 10.1109/TMI.2006.879967 (Pubitemid 44304280)
36. Mendonça A. M., Campilho A., Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction. IEEE Transactions on Medical Imaging 2006 25 9 1200 1213 2-s2.0-33748118111 10.1109/TMI.2006.879955 (Pubitemid 44304279)
37. Staal J., Abràmoff M. D., Niemeijer M., Viergever M. A., van Ginneken B., Ridge-based vessel segmentation in color images of the retina. IEEE Transactions on Medical Imaging 2004 23 4 501 509 2-s2.0-1942454910 10.1109/TMI.2004.825627
38. Niemeijer M., Staal J., van Ginneken B., Loog M., Abràmoff M. D., Michael Fitzpatrick J., Sonka M., Comparative study of retinal vessel segmentation methods on a new publicly available database. 5370 Medical Imaging 2004: Image Processing February 2004 648 656 Proceedings of SPIE 2-s2.0-5644287725 10.1117/12.535349
39. Zana F., Klein J.-C., Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation. IEEE Transactions on Image Processing 2001 10 7 1010 1019 2-s2.0-0035397820 10.1109/83.931095 (Pubitemid 32650877)
40. Martinez-Perez M. E., Hughes A. D., Thom S. A., Bharath A. A., Parker K. H., Segmentation of blood vessels from red-free and fluorescein retinal images. Medical Image Analysis 2007 11 1 47 61 2-s2.0-33846804412 10.1016/j.media.2006. 11.004 (Pubitemid 46202206)
41. Espona L., Carreira M. J., Penedo M. G., Ortega M., Comparison of pixel and subpixel retinal vessel tree segmentation using a deformable contour model. Progress in Pattern Recognition, Image Analysis and Applications 2008 5197 Berlin, Germany Springer 683 690 Lecture Notes in Computer Science 2-s2.0-55349145668 10.1007/978-3-540-85920-8-83
42. Jiang X., Mojon D., Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal images. IEEE Transactions on Pattern Analysis and Machine Intelligence 2003 25 1 131 137 2-s2.0-0037252215 10.1109/TPAMI.2003.1159954