Ridge-branch-based blood vessel detection algorithm for multimodal retinal images

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7259, Issue , 2009, Pages

  Li, Y ^a   Hutchings, N ^b   Knighton, R W ^a   Gregori, G ^a   Lujan, B J ^c   Flanagan, J G ^b,d  

^a UNIVERSITY OF MIAMI MILLER SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF WATERLOO   (Canada)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF TORONTO   (Canada)

Author keywords

Blood vessel detection; Feature selection; Multimodal; Retinal image; Ridge detection

Indexed keywords

AUTOFLUORESCENCE; AUTOMATIC DETECTION; BLOOD VESSEL DETECTION; CENTERLINES; COLOR FUNDUS PHOTOGRAPH; DETECTION ALGORITHM; FEATURE SELECTION; FUNDUS IMAGE; GROUND TRUTH; IMAGING TECHNOLOGY; MEDICAL DIAGNOSIS; MULTI-MODAL; PERFORMANCE OF ALGORITHM; RETINAL BLOOD VESSELS; RETINAL IMAGE; SEGMENT-BASED;

ALGORITHMS; BLOOD; DIAGNOSIS; IMAGE PROCESSING; IMAGING SYSTEMS; MEDICAL IMAGING; OPHTHALMOLOGY; PHOTOGRAPHY; PIXELS; SIGNAL DETECTION;

BLOOD VESSELS;

EID: 71649108197     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.812414     Document Type: Conference Paper

References (27)

1. Kirbas, C. and Quek, F. "A review of vessel extraction techniques and algorithms," Acm Computing Surveys 36(2), 81-121 (2004).
2. Capowski, J. J., Kylstra, J. A., and Freedman, S. F. "A numeric index based on spatial frequency for the tortuosity of retinal vessels and its application to plus disease in retinopathy of prematurity," Journal of Retinal and Vitreous Diseases 15(6), 490-500 (1995).
3. Patton, N., Aslam, T. M., MacGillivray, T., Deary, I. J., Dhillon, B., Eikelboom, R. H., Yogesan, K., and Constable, I. J. "Retinal image analysis: Concepts, applications and potential," Progress in Retinal and Eye Research 25(1), 99-127 (2006).
4. Huang D, Kaiser P.K., Lowder C.Y., Traboulsi E.I. [Retinal Imaging], Elsevier Inc. Philadelphia, PA (2006)
5. Chaudhuri, S., Chatterjee, S., Katz, N., Nelson, M., and Goldbaum, M. "Detection of Blood-Vessels in Retinal Images Using Two-Dimensional Matched-Filters," IEEE Transactions on Medical Imaging 8(3), 263-269 (1989).
6. Gang, L., Chutatape, O., and Krishnan, S. M. "Detection and measurement of retinal vessels, in fundus images using amplitude modified second-order Gaussian filter," IEEE Transactions on Biomedical Engineering 49(2), 168-172 (2002).
7. Mahadevan, V., Narasimha-Iyer, H., Roysam, B., and Tanenbaum, H. L. "Robust model-based vasculature detection in noisy biomedical images," IEEE Transactions on Information Technology in Biomedicine 8(3), 360-376 (2004).
8. Vermeer, K. A., Vos, F. M., Lemij, H. G., and Vossepoel, A. M. "A model based method for retinal blood vessel detection," Computers in Biology and Medicine 34(3), 209-219 (2004).
9. Hoover, A., Kouznetsova, V., and Goldbaum, M. "Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response," IEEE Transactions on Medical Imaging 19(3), 203-210 (2000).
10. Jiang, X. Y. and 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 25(1), 131-137 (2003).
11. Zana, F. and Klein, J. C. "Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation," IEEE Transactions on Image Processing 10(7), 1010-1019 (2001).
12. Staal, J., Abramoff, M. D., Niemeijer, M., Viergever, M. A., and van Ginneken, B. "Ridge-based vessel segmentation in color images of the retina," IEEE Transactions on Medical Imaging 23(4), 501-509 (2004).
13. Soares, J. V. B., Leandro, J. J. G., Cesar, R. M., Jelinek, H. F., and Cree, M. J. "Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification," IEEE Transactions on Medical Imaging 25(9), 1214-1222 (2006).
14. Sofka, M. and Stewart, C. V. "Retinal vessel centerline extraction using multiscale matched filters, confidence and edge measures," IEEE Transactions on Medical Imaging 25(12), 1531-1546 (2006).
15. Yang X.Y., Morrow P.J., and Scotney B.W. "Adaptive pre-filtering for retinal vessel detection in HRT images," in Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST'03 , 493-499 (2003).
16. Abdul-Karim, M. A., Roysam, B., Dowell-Mesfin, N. M., Jeromin, A., Yuksel, M., and Kalyanaraman, S. "Automatic selection of parameters for vessel/neurite segmentation algorithms," IEEE Transactions on Image Processing 14(9), 1338-1350 (2005).
17. Manfredo P.do Carmo. [Differential geometry of curves and surfaces], Prentice-Hall, Inc. (1976)
18. Lopez, A. M., Lumbreras, F., Serrat, J., and Villanueva, J. J. "Evaluation of methods for ridge and valley detection," IEEE Transactions on Pattern Analysis and Machine Intelligence 21(4), 327-335 (1999).
19. Sarigul, E., Abbott, A. L., and Schmoldt, D. L. "Rule-driven defect detection in CT images of hardwood logs," Computers and Electronics in Agriculture 41(1-3), 101-119 (2003).
20. Pierre Soille. [Morphological Image Analysis: Principles and Applications]. 2nd ed., Springer-Verlag Berlin Heidelberg Heidelberg (2003)
21. Cree M.J., Leandro J.J.G., Soares J., and et.al. "Comparison of various segmentation methods to delineate blood vessels in retinal images,". Proc. of the 16th National Congress of the Australian Institute of Physics (2005).
22. Huang, D., Swanson, E. A., Lin, C. P., Schuman, J. S., Stinson, W. G., Chang, W., Hee, M. R., Flotte, T., Gregory, K., Puliafito, C. A., and Fujimoto, J. G. "Optical Coherence Tomography," Science 254(5035), 1178-1181 (11-22-1991).
23. Fleckenstein, M., Issa, P. C., Helb, H. M., Schmitz-Valckenberg, S., Scholl, H. P. N., and Holz, F. G. "Correlation of lines of increased autofluorescence in macular dystrophy and pigmented paravenous retinochoroidal atrophy by optical coherence tomography," Archives of Ophthalmology 126(10), 1461-1463 (2008).
24. van Velthoven, M. E. J., Faber, D. J., Verbraak, F. D., van Leeuwen, T. G., and de Smet, M. D. "Recent developments in optical coherence tomography for imaging the retina," Progress in Retinal and Eye Research 26(1), 57-77 (2007).
25. Stopa, M., Bower, B. A., Davies, E., Izatt, J. A., and Toth, C. A. "Correlation of pathologic features in spectral domain optical coherence tomography with conventional retinal studies," Retina-the Journal of Retinal and Vitreous Diseases 28(2), 298-308 (2008).
26. Costa, R. A., Skaf, M., Melo, L. A. S., Calucci, D., Cardillo, J. A., Castro, J. C., Huang, D., and Wojtkowski, M. "Retinal assessment using optical coherence tomography," Progress in Retinal and Eye Research 25(3), 325-353 (2006).
27. Jiao, S. L., Knighton, R., Huang, X. R., Gregori, G., and Puliafito, C. A. "Simultaneous acquisition of sectional and fundus ophthalmic images with spectral-domain optical coherence tomography," Optics Express 13(2), 444-452 (2005).