Retinal vessel extraction by matched filter with first-order derivative of Gaussian

Computers in Biology and Medicine

Volumn 40, Issue 4, 2010, Pages 438-445

  Zhang, Bob ^a   Zhang, Lin ^b   Zhang, Lei ^b   Karray, Fakhri ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Line detection; Matched filter; Retinal image segmentation; Vessel detection

Indexed keywords

FALSE DETECTIONS; FIRST-ORDER DERIVATIVE; GAUSSIAN FUNCTIONS; GAUSSIANS; LINE DETECTION; LOWER COMPLEXITY; RETINAL BLOOD VESSELS; RETINAL IMAGE; RETINAL IMAGE SEGMENTATION; RETINAL VESSEL EXTRACTION; STATE-OF-THE-ART SCHEME; THRESHOLDING; VESSEL DETECTION; VESSEL EXTRACTION;

BLOOD; CHEMICAL DETECTION; COMPUTER AIDED DIAGNOSIS; DIGITAL IMAGE STORAGE; IMAGE SEGMENTATION; MATCHED FILTERS; METAL RECOVERY; OPHTHALMOLOGY;

BLOOD VESSELS;

ARTICLE; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DATA BASE; FALSE NEGATIVE RESULT; FILTER; IMAGE ANALYSIS; KERNEL METHOD; PRIORITY JOURNAL; RETINA BLOOD VESSEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; RETINAL DISEASES; RETINAL VESSELS; RETINOSCOPY;

EID: 77950864744     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2010.02.008     Document Type: Article

References (22)

1. 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 Trans. Med. Imaging 2004, 501-509.
2. Soares J.V.B., Leandro J.J.G., Cesar R.M., Jelinek H.F., Cree M.J. Retinal vessel segmentation using the 2-d gabor wavelet and supervised classification. IEEE Trans. Med. Imaging 2006, 25:1214-1222.
3. Niemeijer M., Staal J.J., van Ginneken B., Loog M., Abramoff M.D. Comparative study of retinal vessel segmentation methods on a new publicly available database. SPIE Med. Imaging 2004, 5370:648-656.
4. Martínez-Pérez M., Hughes A., Stanton A., Thom S., Bharath A., Parker K. Scale-space analysis for the characterisation of retinal blood vessels. Med. Image Comput. Computer-Assisted Intervention 1999, 90-97.
5. Hoover A., Kouznetsova V., Goldbaum M. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response. IEEE Trans. Med. Imaging 2000, 19(3):203-210.
6. Jiang X., Mojon D. Adaptive local thresholding by verification based multithreshold probing with application to vessel detection in retinal images. IEEE Trans. Pattern Anal. Mach. Intell. 2003, 25(1):131-137.
7. Mendonca A.M., Campilho A. Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction. IEEE Trans. Med. Imaging 2006, 25(9):1200-1213.
8. 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. Med. Image Anal. 2007, 11(1):47-61.
9. Chaudhuri S., Chatterjee S., Katz N., Nelson M., Goldbaum M. Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Trans. Med. Imaging 1989, 263-269.
10. Leung H., Wang J.J., Rochtchina E., Wong T.Y., Klein R., Mitchell P. Impact of current and past blood pressure on retinal arteriolar diameter in older population. J. Hypertens. 2003, 1543-1549.
11. 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, 245-250.
12. Wang J.J., Taylor B., Wong T.Y., Chua B., Rochtchina E., Klein R., Mitchell P. Retinal vessel diameters and obesity: a population-based study in older persons. Obes. Res. 2006, 206-214.
13. Zana F., Klein J.C. Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation. IEEE Trans. Image Process. 2001, 1010-1019.
14. Tolias Y., Panas S. A fuzzy vessel tracking algorithm for retinal images based on fuzzy clustering. IEEE Trans. Med. Imaging 1998, 263-273.
15. Sinthanayothin C., Boyce J., Williamson C.T. Automated localisation of the optic disk, fovea, and retinal blood vessels from digital colour fundus images. Br. J. Ophthalmol. 1999, 902-910.
16. S. Garg, J. Sivaswamy, S. Chandra, Unsupervised curvature-based retinal vessel segmentation, in: Proceedings of the IEEE International Symposium on Bio-Medical Imaging, 2007, pp. 344-347.
17. Perfetti R., Ricci E., Casali D., Costantini G. Cellular neural networks with virtual template expansion for retinal vessel segmentation. IEEE Trans. Circuits Syst. II 2007, 54:141-145.
18. Cinsdikici M., Aydin D. Detection of blood vessels in ophthalmoscope images using MF/ant (matched filter/ant colony) algorithm. Comput. Methods and Programs Biomed. 2009, 96:85-95.
19. Al-Rawi M., Qutaishat M., Arrar M. An improvement matched filter for blood vessel detecetion of digital retinal images. Comput. Biol. Med. 2007, 37:262-267.
20. Chutatape O., Zheng L., Krishnan S. Retinal blood vessel detection and tracking by matched Gaussian and kalman filters. Proc. Eng. Med. Biol. Soc. 1998, 3144-3149.
21. Rangayyan R.M., Ayres F.J., Oloumi F., Oloumi F., Eshghzadeh-Zanjani P. Detection of blood vessels in the retina with multiscale Gabor filters. J. Electron. Imaging 2008, 17. 023018.
22. M.M. Fraz, M.Y. Javed, A. Basit, Evaluation of retinal vessel segmentation methodologies based on combination of vessel centerlines and morphological processing, in: IEEE International Conference on Emerging Technologies, October 18-19, Rawalpindi, Pakistan, 2008.