Thickness dependent tortuosity estimation for retinal blood vessels

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 4675-4678

  Azegrouz, Hind ^a   Trucco, Emanuele ^a   Dhillon, Baljean ^b   MacGillivray, Thomas ^c   MacCormick, I J ^d  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

^b PRINCESS ALEXANDRA EYE PAVILION   (United Kingdom)

^c WESTERN GENERAL HOSPITAL   (United Kingdom)

^d UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BINARY IMAGES; COMPUTATIONAL METHODS; GRAPH THEORY; MATRIX ALGEBRA; VISION;

CLINICAL CLASSIFICATION; RETINAL IMAGES; VASCULATURE SEGMENT; VESSEL TORTUOSITY;

BLOOD VESSELS;

ALGORITHM; ARTICLE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; AUTOMATION; BLOOD VESSEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; EQUIPMENT DESIGN; HUMAN; IMAGE PROCESSING; PATHOLOGY; RETINA BLOOD VESSEL; RETINA DISEASE; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; AUTOMATION; BLOOD VESSELS; COMPUTER GRAPHICS; EQUIPMENT DESIGN; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, ANATOMIC; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; RETINAL DISEASES; RETINAL VESSELS;

EID: 34047163516     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260558     Document Type: Conference Paper

References (10)

1. N. Patton, T. M. Aslam, T. MacGillivray, I. J. Deary, B. Dhillon, "Retinal image analysis: concepts, applications and potential". Prog. Retin. Eye Res. vol. 25 no. 1, pp. 99-127, 2006.
2. N. Patton, Maini R, T. MacGillivray, T. M. Aslam, I. J. Deary, B. Dhillon B. "Effect of axial length on retinal vascular network geometry." Amer. Journ. Ophthalmol. vol. 140 no. 4, pp. 648-53, 2005.
3. W. Hart and M. Goldbaum and B. Cote and P. Kube and M. Nelson, "Measurement and classification of retinal vascular tortuosity", Int. Journ. Medical Informatics, vol. 53, no. 2-3, pp. 239-252, February 1999.
4. C. Heneghan, J. Flynn, M. OKeefe, M. Cahill, "Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis", in Medical Image Analysis, Vol. 6, Issue 4, pp.407-429, Dec 2002.
5. E. Grisan, M. Foracchia, A. Ruggeri, "A novel method for the automatic evaluation of retinal vessel tortuosity", Proc. 25th IEEE EMBS, pp. 866-869, Sep 2003.
6. E. Bullitt, G. Gerig, S. Pizer, W. Lin and S. Aylward, "Measuring Tortuosity of the Intracerebral Vasculature from MRA Images", IEEE Trans. Med. Img., vol.22, pp.1163-1171, 2003.
7. L Lam, S W Lee, C Suen, "Thinning Methodologies: a Comprehensive Survey", IEEE Trans. Patt. Anal. and Machine. Intelligence, vol. 14, pp. 879 - 884, 1992.
8. J J Staal, M D Abramoff, M Niemeijer, M A Viergever, B van Ginneken, "Ridge based vessel segmentation in color images of the retina", IEEE Trans. Medical Imaging, vol. 23, pp. 501-509, 2004.
9. O Smedby, N Hogman, S Nilsson, U Erikson, A G Olson, G Walldius, "Two dimensional tortuosity of the superficial femoral artery in early atherosclerosis", J Vascular Res., vol. 30, pp. 181-191, 1993.
10. J Cramer, "The Logit Model: An Introduction for Economics", J Edward Arnold, 1991.