Automatic model-based tracing algorithm for vessel segmentation and diameter estimation

Computer Methods and Programs in Biomedicine

Volumn 100, Issue 2, 2010, Pages 108-122

  Delibasis, Konstantinos K ^a   Kechriniotis, Aristides I ^b   Tsonos, C ^b   Assimakis, Nicholas ^b  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^b TECHNOLOGICAL EDUCATIONAL INSTITUTE OF LAMIA   (Greece)

Author keywords

Automatic tracking; Vessel diameter measurement; Vessel parametric model; Vessel segmentation

Indexed keywords

ANGIOGRAPHIC IMAGES; AUTOMATIC ALGORITHMS; AUTOMATIC MODELS; AUTOMATIC TRACKING; CENTRAL AXIS; COMPLEX SHAPES; DIAMETER ESTIMATION; GEOMETRIC MODELS; PARAMETRIC MODELS; POSITIONING ERROR; ROOT MEAN SQUARE; SEGMENTATION RESULTS; SUB PIXELS; TRACING ALGORITHM; USER INTERVENTION; VESSEL DETECTION; VESSEL DIAMETER; VESSEL DIAMETER MEASUREMENT; VESSEL MODEL; VESSEL PARAMETRIC MODEL; VESSEL SEGMENTATION;

ALGORITHMS; IMAGE SEGMENTATION; MODELS; SERVOMECHANISMS; TREES (MATHEMATICS); VOLUME MEASUREMENT;

IMAGE MATCHING;

ACCURACY; ALGORITHM; ANGIOGRAPHY; ARTICLE; AUTOMATION; DATA BASE; GEOMETRY; IMAGE ANALYSIS; MATHEMATICAL MODEL;

ALGORITHMS; AUTOMATION; HUMANS; MODELS, THEORETICAL; RETINAL VESSELS;

EID: 77956647164     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2010.03.004     Document Type: Article

References (36)

1. Miller R.G., Prince C.T., Klein R., Orchard T.J. Retinal vessel diameter and the incidence of coronary artery disease in type 1 diabetes. American Journal of Ophthalmology 2009, 147(4):653-660.
2. Mitchell P., Leung H., Wang J.J., Rochtchina E., Lee A.J., Wong T.Y., Klein R. Retinal vessel diameter and open-angle glaucoma the blue mountains eye study. Ophthalmology 2005, 112(2):245-250.
3. 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.
4. Matsopoulos G.K., Mouravliansky N.A., Delibasis K.K., Nikita K.S. Automatic retinal image registration scheme using global optimization techniques. Transactions on Information Technology in Biomedicine 1999, 3(1):47-60.
5. Kande Giri Babu, Satya Savithri T., Subbaiah P.V. Segmentation of vessels in fundus images using spatially weighted fuzzy c-means clustering algorithm. IJCSNS International Journal of Computer Science and Network Security 2007, 7(12):102-109.
6. 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.
7. Lian Nai-Xiang, Zagorodnov V., Tan Yap-Peng Retinal vessel detection using self-matched filtering. Proceeding of IEEE International Conference on Image Processing (ICIP 2007) 2007, 33-36.
8. Tozaki T., Kawata Y., Niki N., Ohmatsu H., Moriyama N. 3-d Visualization of blood vessels and tumor using thin slice CT. IEEE Nuclear Science Symposium and Medical Imaging Conference 1995, 3:1470-1474.
9. Niki N., Kawata Y., Satoh H., Kumazaki T. 3d Imaging of blood vessels using X-ray rotational angiographic system. Proceedings of Nuclear Science Symposium and Medical Imaging Conference 1993, 3:1873-1877.
10. Martínez-Pérez M., Hughes A., Stanton A., Thom S., Bharath A., Parker K. Scale-space analysis for the characterisation of retinal blood vessels. Medical Image Computing and Computer-Assisted Intervention-MICCAI'99 1999, 90-97. C. Taylor, A. Colchester (Eds.).
11. Heneghan C., Flynn J., O'Keefe M., Cahill M. Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis. Medical Image Analysis 2002, 6(4):407-429.
12. 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.
13. Aylward S., Bullitt E. Initialization, noise, singularities, and scale in height-ridge traversal for tubular object centerline extraction. IEEE Transactions on Medical Imaging 2002, 21:61-75.
14. Staal J.J., Abramoff 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, 23:501-509.
15. Sofka M., Stewart C. Retinal vessel centerline extraction using multiscale matched filters confidence and edge measures. IEEE Transactions in Medical Imaging 2006, 25:1531-1546.
16. Frangi A., Niessen W.J., Vincken K.L., Viergever M.A. Multiscale vessel enhancement filtering. Proceedings of the 1st International Conference of Medical Image Computing and Computer-Assisted Intervention (MICCAI) 1998, 130-137.
17. Zana F., Klein J. Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation. IEEE Transactions on Image Processing 2001, 10(7):1010-1019.
18. M. Niemeijer, J. Staal, B. van Ginneken, M. Loog, M. Abramoff, Comparative study of retinal vessel segmentation methods on a new publicly available database, in: J. Michael Fitzpatrick, M. Sonka (Eds.), SPIE Medical Imaging 5370, 2004, pp. 648-656.
19. Pedersen L., Grunkin M., ErsbÙll B., Madsen K., Larsen c M., Christoersen N., Skands U. Quantitative measurement of changes in retinal vessel diameter in ocular fundus images. Pattern Recognition Letters 2000, 21:1215-1223.
20. K. Poon, G. Hamarneh, R. Abugharbieh, Live-Vessel: Extending Livewire for Simultaneous Extraction of Optimal Medial and Boundary Paths in Vascular Images, in: N. Ayache, S. Ourselin, A. Maeder (Eds.), MICCAI 2007, Part II, Lecture Notes in Computer Science 4792, Springer-Verlag, Berlin/Heidelberg, 2007, pp. 444-451.
21. Wink O., Frangi A.F., Verdonck B., Viergever M.A., Niessen W.J. 3D MRA coronary axis determination using a minimum cost path approach. Magnetic Resonance in Medicine 2002, 47:1169-1175.
22. Rueckert D., Burger P., Forbat S.M., Mohiaddin R.D., Yang G.Z. Automatic tracking of the aorta in cardiovascular MR images using deformable models. IEEE Transactions on Medical Imaging 1997, 16:581-590.
23. Solouma N.H., Youssef A.-B.M., Badr Y.A., Kadah Y.M. A new real-time retinal tracking system for image-guided laser treatment. IEEE Transactions on Biomedical Engineering 2002, 49(9):1059-1067.
24. Gao X., Bharath A., Stanton A., Hughes A., Chapman N., Thom S. Quantification and characterisation of arteries in retinal images. Computer Methods and Programs in Biomedicine 2000, 63:133-146.
25. Zhou L., Rzeszotarsk M.S., Singerman L.J., Chokreff J.M. The detection and quantification of retinopathy using digital angiograms. IEEE Transactions on Medical Imaging 1994, 13(4):619-626.
26. Can A., Shen H., Turner J.N., Tanenbaum H.L., Roysam B. Rapid automated tracing and feature extraction from live high-resolution retinal fundus images using direct exploratory algorithms. IEEE Transactions on Information Technology in Biomedicine 1999, 3(2):125-138.
27. K. Fritzsche, A. Can, H. Shen, C. Tsai, J. Turner, H. Tanenbuam, C. Stewart, B. Roysam, Automated model based segmentation, tracing and analysis of retinal vasculature from digital fundus images, in: J.S. Suri, S. Laxminarayan (Eds.), State-of-The-Art Angiography, Applications and Plaque Imaging Using MR, CT, Ultrasound and X-Rays, Academic, New York, 2003, pp. 225-298.
28. Sonka M., Winniford M.D., Xiangmin Z., Collins S.M. Lumen centerline detection in complex coronary angiograms. IEEE Transactions on Bio-medical Engineering 1994, 41:520-528.
29. Wink O., Niessen W.J., Viergever M.J. Fast delineation and visualization of vessels in 3-D angiographic images. IEEE Transactions on Medical Imaging 2000, 19:337-346.
30. Bresenham J.E. Algorithm for computer control of digital plotter. IBM System Journal 1965, 4(1):25-30.
31. Gang L., Chutatape O., Krishnan S.M. Detection and measurement of retinal vessels in fundus images using amplitude modified second-order Gaussian filter. IEEE Transactions on Biomedical Engineering 2002, 49:168-172.
32. Chapman N., Witt N., Gao X., Bharath A.A., Stanton A.V., Thom S.A., Hughes A.D. Computer algorithms for the automated measurement of retinal arteriolar diameters. British Journal of Ophthalmology 2001, 85:74-79.
33. Patel V. A new concept in accurately measuring retinal vessel diameter from transmittance and densitometry profile of fundus photographs. ARVO Abstract Investigative Ophthalmology and Visual Science 1992, 33(4):804.
34. Jensen P. Video photography of human retinal vessel diameter in vivo. ARVO Abstract Investigative Ophthalmology and Visual Science 1992, 33(4):1048.
35. Facett T. An introduction to ROC analysis. Pattern Recognition Letters 2006, 17:861-874.
36. http://www.isi.uu.nl/Research/Databases/DRIVE/results.php.