Improvements in retinal vessel clustering techniques: Towards the automatic computation of the arterio venous ratio

Computing (Vienna/New York)

Volumn 90, Issue 3-4, 2010, Pages 197-217

  Vazquez S G ^a   Barreira, N ^a   Penedo, M G ^a   Ortega, M ^a   Pose Reino, A ^b  

^a UNIVERSITY OF A CORUÑA   (Spain)

^b HOSPITAL DE CONXO   (Spain)

Author keywords

Arterio venous ratio; Vessel clustering

Indexed keywords

ARTERIO VENOUS RATIO; AUTOMATIC DIAGNOSIS; BEST STRATEGY; CLUSTERING STRATEGY; CLUSTERING TECHNIQUES; IMAGE FEATURE SET; INHOMOGENEITIES; RETINAL BLOOD VESSELS; RETINAL IMAGE; RETINAL VESSELS; VESSEL CLUSTERING;

BLOOD; DIAGNOSIS; DISEASE CONTROL; OPHTHALMOLOGY;

BLOOD VESSELS;

EID: 78650614172     PISSN: 0010485X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00607-010-0114-z     Document Type: Article

References (32)

1. A Hoover M Goldbaum 2003 Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels IEEE Trans Biomed Eng 22 951 958
2. M Blanco MG Penedo N Barreira M Penas MJ Carreira 2006 Localization and extraction of the optic disc using the fuzzy circular Hough transform Lect Notes Artif Intell Artif Intell Soft Comput 4029 713 721
3. H Li O Chutatape 2004 Automated feature extraction in color retinal images by a model based approach IEEE Trans Biomed Eng 51 246 254 10.1109/TBME.2003.820400 (Pubitemid 38133604)
4. MG Penedo S Pena F González 2008 Crest lines and correlation filter based location of the macula in digital retinal images BIOSIGNALS 2 521 527
5. JVB Soares JJG Leandro RM Cesar Jr HF Jelinek MJ Cree 2006 Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification IEEE Trans Med Imaging 25 9 1214 1222 10.1109/TMI.2006.879967 (Pubitemid 44304280)
6. SA Salem NM Salem AK Nandi 2007 Segmentation of retinal blood vessels using a novel clustering algorithm (RACAL) with a partial supervision strategy Med Biol Eng Comput 45 3 261 273 10.1007/s11517-006-0141-2 (Pubitemid 46359451)
7. Cree MJ, Gamble E, Cornforth D (2005) Colour normalisation to reduce inter-patient and intra-patient variability in microaneurysm detection in colour retinal images. WDIC2005 ARPS workshop on digital image computing, Brisbane, Australia, pp 163-168
8. AV Stanton B Wasan A Cerutti S Ford R Marsh PP Sever SA Thom AD Hughes 1995 Vascular network changes in the retina with age and hypertension J Hypertens 13 1724 1728 10.1097/00004872-199501000-00008
9. LA King AV Stanton PS Sever SA Thom AD Hughes 1996 Arteriolar length-diameter (l:d) ratio: a geometric parameter of the retinal vasculature diagnostic of hypertension J Hum Hypertens 10 6 417 418
10. TT Nguyen JJ Wang TY Wong 2007 Retinal vascular changes in pre-diabetes and prehypertension: new findings and their research and clinical implications Diabetes Care 30 10 2708 2715 10.2337/dc07-0732 (Pubitemid 47547825)
11. LD Hubbard RJ Brothers WN King LX Clegg R Klein LS Cooper AR Sharrett MD Davis J Cai 1999 Methods for evaluation of retinal microvascular abnormalities associated with hypertension/sclerosis in the atherosclerosis risk in communities studies Ophthalmology 106 2269 2280 10.1016/S0161-6420(99)90525-0
12. Aguilar W, Elena Martínez-Pérez M, Frauel Y, Escolano F, Lozano MA, Espinosa-Romero A (2007) Graph-based methods for retinal mosaicing and vascular characterization. In: GbRPR. Lecture Notes in Computer Science, vol 4538. Springer, Berlin, pp 25-36
13. Chráastek R, Wolf M, Donath K, Niemann H, Michelsont G (2002) Automated calculation of retinal arteriovenous ratio for detection and monitoring of cerebrovascular disease based on assessment of morphological changes of retinal vascular system. IAPR Workshop on Machine Vision Applications, Nara, Japan 11-13, pp 240-243
14. K Rothaus X Jiang P Rhiem 2009 Separation of the retinal vascular graph in arteries and veins based upon structural knowledge Image Vis Comput 27 7 864 875 10.1016/j.imavis.2008.02.013
15. A Simó E de Ves 2001 Segmentation of macular fluorescein angiographies. A statistical approach Pattern Recognit 34 4 795 809 0970.68762 10.1016/S0031-3203(00)00032-7 (Pubitemid 32207850)
16. Li H, Hsu W, Lee ML, Wang H (2003) A piecewise Gaussian model for profiling and differentiating retinal vessels. In: ICIP03, vol 1, pp 1069-1072
17. Grisan E, Ruggeri A (2003) A divide et impera strategy for automatic classification of retinal vessels into arteries and veins. In: Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE, vol 1, pp 890-893
18. Jelinek HF, Lucas C, Cornforth DJ, Huang W, Cree MJ (2005) Towards vessel characterization in the vicinity of the optic disc in digital retinal images. In: McCane (ed) Proceedings of the image and vision computing, New Zealand
19. Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten IH (2009) The WEKA data mining software: an update. SIGKDD Explor 11(1):10-18. http://doi.acm.org/10.1145/1656274.1656278. DBLP, http://dblp.uni-trier.de
20. Niemeijer M, van Ginneken B, Abràmoff MD (2009) Automatic classification of retinal vessels into arteries and veins. In: Karssemeijer N, Giger ML (eds) Medical imaging 2009: computer-aided diagnosis. Proceedings of the SPIE, 7260:72601F-72601F-8
21. A Stanton P Mullaney M Fainsia E O'Brien K O'Malley 1995 A method of quantifying retinal microvascular alterations associated with blood pressure and age J Hypertens 13 1 41 48 10.1097/00004872-199501000-00008
22. JC Parr GF Spears 1974 General caliber of the retinal arteries expressed as the equivalent width of the central retinal artery Am J Ophthalmol 77 472 477
23. JC Parr GF Spears 1974 Mathematic relationships between the width of a retinal artery and the widths of its branches Am J Ophthalmol 77 478 483
24. MD Knudtson KE Lee LD Hubbard TY Wong R Klei BEK Klein 2003 Revised formulas for summarizing retinal vessel diameters Curr Eye Res 27 3 143 149 10.1076/ceyr.27.3.143.16049 (Pubitemid 37159478)
25. IG Caderno MG Penedo N Barreira C Mariño F González 2005 Precise detection and measurement of the retina vascular tree Pattern Recognit Image Anal Adv Math Theory Appl (IAPC Nauka/Interperiodica) 15 2 523 526
26. Blanco M, Penedo MG, Barreira N, Penas M, Carreira MJ (2006) Localization and extraction of the optic disc using the fuzzy circular hough transform. In: Rutkowski L, Tadeusiewicz R, Zadeh LA, Zurada JM (eds) ICAISC. Lecture Notes in Computer Science, vol 4029. Springer, berlin, pp 712-721
27. J Novo MG Penedo J Santos 2009 Localisation of the optic disc by means of ga-optimised topological active nets Image Vis Comput 27 10 1572 1584 10.1016/j.imavis.2009.02.011
28. AM López D Lloret J Serrat JJ Villanueva 2000 Multilocal creaseness based on the level-set extrinsic curvature Comput Vis Image Understand 77 2 111 144 10.1006/cviu.1999.0812 (Pubitemid 30557364)
29. Gan G, Ma C, Wu J (2007) Data clustering theory, algorithms and applications. ASA-SIAM Series on Statistics and Applied Probability, SIAM, Philadelphia, ASA, Alexandria, VA
30. VICAVR (2009) VARPA Images for the Computation of the Arterio/Venular Ratio, database. http://www.varpa.es/vicavr.html
31. Mariño C, Penedo MG, Rouco J, Ortega M, Pose-Reino A (2008) Medical web application for the evaluation of changes in retinal microcirculation. Comput Eng Syst Appl 113-119
32. A Pose-Reino F Gomez-Ulla B Hayik M Rodriguez-Fernndez MJ Carreira-Nouche A Mosquera-Gonzlez M Gonzlez-Penedo F Gude 2005 Computerized measurement of retinal blood vessel calibre: description, validation and use to determine the influence of ageing and hypertension J Hypertens 23 4 843 850 10.1097/01.hjh.0000163154.35577.8e