Computerized Medical Imaging and Graphics
Volume 34, Issue 3 , Pages 203-212 , April 2010

Fourier cross-sectional profile for vessel detection on retinal images

  • Tao Zhu

      Affiliations

    • Corresponding Author InformationTel.: +44 0121 2493208; fax: +44 0152 7438809.

Received 24 October 2008 ,Revised 1 August 2009 ,Accepted 22 September 2009.

References 

  1. Gunn M. On ophthalmoscopic evidence of general arterial disease. Trans Ophthalmol Soc UK. 1998;18:356–381
  2. Patton N, Aslam TM, MacGillivray T, Deary IJ, Dhillon B, Eikelboom RH, et al. Retinal image analysis: concepts, applications and potential. Prog Retinal Eye Res. 2006;25:99–127
  3. Wilson CM, Cocker KD, Moseley MJ, Paterson C, Clay ST, Schulenburg WE, et al. Computerized analysis of retinal vessel width and tortuosit in premature infants. Ophthalmol Vis Sci. 2008;49:3577–3585
  4. Gregson PH, Shen Z, Scott RC, Kozousek V. Automated grading of venous beading. Comput Biomed Res. 2000;28:291–304
  5. Chapman N, Witt N, Gao X, Bharrath A, Stanton SA, Hughes A. Computer algorithms for the automated measurement of retinal arteriolar diameters. Br J Ophthalmol. 2001;85:74–79
  6. Can A, Shen A, Turner J, Tanenbaun H, Roysam B. Rapid automated tracing and feature extraction from retinal fundus images using direct exploratory algorithms. IEEE Trans Info Technol Biomed. 1999;2:125–138
  7. 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 Imag. 1989;8:263–269
  8. Lalonde M, Gagnon L, Boucher M. Non-recursive paired tracking for vessel extraction from retinal images. In: Conf. vis. interface. Montreal, Canada, May 2000. 2000;
  9. Zana F, Klein JC. Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation. IEEE Trans Imag Proc. 2001;10(7):1010–1018
  10. Akita K, Kuga H. Pattern recognition of blood vessel networks in ocular fundus images. Pattern Recognit. 1982;15:431–443
  11. Staal J, Abramoff M, Niemeijer M, Viergever M, van Ginneken B. Ridge-based vessel segmentation in color images of the retina. IEEE Trans Med Imag. 2004;23:501–509
  12. Tolias YA, Panas SM. A fuzzy vessel tracking algorithm for retinal images based on fuzzy clustering. IEEE Trans Med Imag. 1998;17:263–273
  13. Sinthanayothin C, Boyce JF, Cook HL, Williamson TH. Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images. Br J Ophthalmol. 1999;83:902–910
  14. Miles EP, Nuttall AL. Matched filter estimation of serial blood vessel diameters from video images. IEEE Trans Med Imag. 1993;12:147–152
  15. Hoover A, Kouznetsova V, Goldbaum M. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response. IEEE Trans Med Imag. 2000;19:203–210
  16. Gang L, Chutatape O, Krishnan S. Detection and measurement of retinal vessels in fundus images using amplitude modified second-order Gaussian filter. IEEE Trans BioMed Eng. 2002;49(2):168–172
  17. Vermeer K, Vos F, Lemij G, Vossepoel A. A model based method for retinal blood vessel detection. Comput Biol Med. 2004;34:209–219
  18. Zhou L, Rzeszotarski MS, Singerman LJ, Chokreff JM. The detection and quantification of retinopathy using digital angiograms. IEEE Trans Med Imag. 1994;13:619–626
  19. Martinez-Perez ME, Hughes AD, Thom SA, Bharath AA, Parker KH. Segmentation of blood vessels from red-free and fluorescein retinal images. Med Imag Anal. 2007;11(1):47–61
  20. Leandro J, Cesar RM, Jeline HF. Blood vessels segmentation in retina: preliminary assessment of the mathematical morphology and of the wavelet transform technique. In: Brazilian symp. on comp. graphics and imag proc. Florianpolis, Brazil. 2001;
  21. Wang L, Bhalerao A, Wilson R. Analysis of retinal vasculature using a multiresolution Hermite model. IEEE Trans Med Imag. 2007;26(2):137–152
  22. Pederson L. Quantitative measurement of changes in retinal vessel diameter in ocular fundus images. Pattern Recognit Lett. 2000;21:1215–1223
  23. Brinchmann-Hansen O, Heier H. The apparent and true width of the blood column. Acta Ophthalmol Suppl. 1986;179:29–32
  24. Brinchmann-Hansen O, Heier H. Theoretical relationships between light streak characteristics and optical properties of retinal vessels. Acta Ophthalmological Suppl. 1986;179:33–37
  25. Preece SJ, Claridge E. Monte Carlo modelling of the spectral reflectance of the human eye. Phys Med Biol. 2002;47:2863–2877
  26. Lowell J, Hunter A, Steel D, Basu A, Ryder R, Kennedy R. Measurement of retinal vessel widths from fundus images based on 2-D modeling. IEEE Trans Med Imag. 2004;23(10):1196–1202
  27. Martinez-Perez ME, Hughes AD, Stanton A, Thom SD, Chapman N, Bharath AA, et al. Retinal vascular tree morphology: a semi-automatic quantification. IEEE Trans BioMed Eng. 2002;49(8):912–916
  28. Li H, Hsu W, Lee ML, Wang H. A piecewise Gaussian model for profiling and differentiating retinal vessels. In: IEEE intl conf imag proc. Barcelona, Spain. 2003;p. 1069–1072
  29. Narasimha-Iyer H, Mahadevan V, Beach JM, Roysam B. Improved detection of the central reflex in retinal vessels using generalized dual Gaussian model and robust hypothesis testing. IEEE Trans IT BioMed. 2008;12(3):406–410
  30. Azegrouz H, Trucco E. Max-min central vein detection in retinal fundus images. In: IEEE intl conf imag proc. Atlanta, USA. 2006;p. 1925–1928
  31. Monone M, Ross J, Burr D, Owens R. Mach bands are phase dependent. Nature. 1986;6094:250–253
  32. Kovesi P. Image features from phase congruency. Videre: J Comput Vis Res. 1999;1(3):1–26
  33. Kovesi P. Phase congruency detects corners and edges. In: The Australian Pattern Recognition Society Conference: DICTA 2003. Sydney. 2003;p. 309–318
  34. Mulet-Parada M, Noble JA. 2D+T acoustic boundary detection in echocardiography. Med Imag Anal. 2000;4:21–30
  35. Grou V, Noble JA. Adaptive multiscale ultrasound compounding using phase information. Lecture notes in computer science (MICCAI). 2005;3749:589–596
  36. Kovesi P. Symmetry and asymmetry from local phase. In: Tenth Australian joint conf on artificial intelligence. 1997;p. 185–190
  37. Xiao Z, Hou Z. Phase based feature detector consistent with human visual system characteristics. Pattern Recognit Lett. 2004;25:1115–1121
  38. Fleet DJ, Jepson AD. Computation of component image velocity from local phase information. Int Comput Vis. 1990;5(1):77–104
  39. Chanwimaluang T, Fan G. An efficient algorithm for extraction of anatomical structures in retinal images. In: Intl conf on imag proc. Barcelona, Spain. 2003;p. 14–17
  40. Poon M, Hamarneh G, Abugharbieh R. Live-vessel: extending livewire for simultaneous extraction of optimal medial and boundary paths in vascular images. Lecture notes in computer science (MICCAI). 2007;p. 444–51
  41. Sukkaew L, Uyyanonvara B, Barman S, Fielder A, Cocker K. Automatic extraction of the structure of the retinal blood vessel network of premature infants. J Med Assoc Thai. 2007;90:1780–1792
  42. Hanneman SK. Design, analysis, and interpretation of method-comparison studies. AACN Adv Crit Care. 2008;19:223–234

PII: S0895-6111(09)00115-3

doi: 10.1016/j.compmedimag.2009.09.004

Computerized Medical Imaging and Graphics
Volume 34, Issue 3 , Pages 203-212 , April 2010

Article Tools

* Image Usage & Resolution