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Robust methodology for fractal analysis of the retinal vasculature.

Publication ,  Journal Article
Azemin, MZC; Kumar, DK; Wong, TY; Kawasaki, R; Mitchell, P; Wang, JJ
Published in: IEEE Trans Med Imaging
February 2011

We have developed a robust method to perform retinal vascular fractal analysis from digital retina images. The technique preprocesses the green channel retina images with Gabor wavelet transforms to enhance the retinal images. Fourier Fractal dimension is computed on these preprocessed images and does not require any segmentation of the vessels. This novel technique requires human input only at a single step; the allocation of the optic disk center. We have tested this technique on 380 retina images from healthy individuals aged 50+ years, randomly selected from the Blue Mountains Eye Study population. To assess its reliability in assessing retinal vascular fractals from different allocation of optic center, we performed pair-wise Pearson correlation between the fractal dimension estimates with 100 simulated region of interest for each of the 380 images. There was Gaussian distribution variation in the optic center allocation in each simulation. The resulting mean correlation coefficient (standard deviation) was 0.93 (0.005). The repeatability of this method was found to be better than the earlier box-counting method. Using this method to assess retinal vascular fractals, we have also confirmed a reduction in the retinal vasculature complexity with aging, consistent with observations from other human organ systems.

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Published In

IEEE Trans Med Imaging

DOI

EISSN

1558-254X

Publication Date

February 2011

Volume

30

Issue

2

Start / End Page

243 / 250

Location

United States

Related Subject Headings

  • Wavelet Analysis
  • Retinal Vessels
  • Retina
  • Reproducibility of Results
  • Photography
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Image Processing, Computer-Assisted
  • Humans
  • Fractals
 

Citation

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Azemin, M. Z. C., Kumar, D. K., Wong, T. Y., Kawasaki, R., Mitchell, P., & Wang, J. J. (2011). Robust methodology for fractal analysis of the retinal vasculature. IEEE Trans Med Imaging, 30(2), 243–250. https://doi.org/10.1109/TMI.2010.2076322
Azemin, MZ Che, D. K. Kumar, T. Y. Wong, R. Kawasaki, P. Mitchell, and J. J. Wang. “Robust methodology for fractal analysis of the retinal vasculature.IEEE Trans Med Imaging 30, no. 2 (February 2011): 243–50. https://doi.org/10.1109/TMI.2010.2076322.
Azemin MZC, Kumar DK, Wong TY, Kawasaki R, Mitchell P, Wang JJ. Robust methodology for fractal analysis of the retinal vasculature. IEEE Trans Med Imaging. 2011 Feb;30(2):243–50.
Azemin, MZ Che, et al. “Robust methodology for fractal analysis of the retinal vasculature.IEEE Trans Med Imaging, vol. 30, no. 2, Feb. 2011, pp. 243–50. Pubmed, doi:10.1109/TMI.2010.2076322.
Azemin MZC, Kumar DK, Wong TY, Kawasaki R, Mitchell P, Wang JJ. Robust methodology for fractal analysis of the retinal vasculature. IEEE Trans Med Imaging. 2011 Feb;30(2):243–250.

Published In

IEEE Trans Med Imaging

DOI

EISSN

1558-254X

Publication Date

February 2011

Volume

30

Issue

2

Start / End Page

243 / 250

Location

United States

Related Subject Headings

  • Wavelet Analysis
  • Retinal Vessels
  • Retina
  • Reproducibility of Results
  • Photography
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Image Processing, Computer-Assisted
  • Humans
  • Fractals