April 2011
Volume 52, Issue 14
Free
ARVO Annual Meeting Abstract  |   April 2011
The Methodology And Reliability Of Retinal Fractal Dimension Measurement Using A Novel Computer-assisted Method In An Indian Population
Author Affiliations & Notes
  • George N. Thomas
    Singapore Eye Research Institute, Singapore, Singapore
    Centre for Eye Research Australia, Melbourne, Australia
  • Tien Yin Wong
    Singapore Eye Research Institute, Singapore, Singapore
    Centre for Eye Research Australia, Melbourne, Australia
  • Shin-Yeu Ong
    Singapore Eye Research Institute, Singapore, Singapore
  • Wynne Hsu
    School of Computing, National University of Singapore, Singapore, Singapore
  • Mong-Li Lee
    School of Computing, National University of Singapore, Singapore, Singapore
  • Qiangfeng P. Lau
    School of Computing, National University of Singapore, Singapore, Singapore
  • Jessica Alessi-Calandro
    Centre for Eye Research Australia, Melbourne, Australia
  • Lauren Hodgson
    Centre for Eye Research Australia, Melbourne, Australia
  • Ryo Kawasaki
    Centre for Eye Research Australia, Melbourne, Australia
  • Carol Y. Cheung
    Singapore Eye Research Institute, Singapore, Singapore
  • Footnotes
    Commercial Relationships  George N. Thomas, None; Tien Yin Wong, None; Shin-Yeu Ong, None; Wynne Hsu, None; Mong-Li Lee, None; Qiangfeng P. Lau, None; Jessica Alessi-Calandro, None; Lauren Hodgson, None; Ryo Kawasaki, None; Carol Y. Cheung, None
  • Footnotes
    Support  STaR/0003/2008 Singapore Bio Imaging Consortium (SBIC) Grant C-011/2006
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 1047. doi:https://doi.org/
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      George N. Thomas, Tien Yin Wong, Shin-Yeu Ong, Wynne Hsu, Mong-Li Lee, Qiangfeng P. Lau, Jessica Alessi-Calandro, Lauren Hodgson, Ryo Kawasaki, Carol Y. Cheung; The Methodology And Reliability Of Retinal Fractal Dimension Measurement Using A Novel Computer-assisted Method In An Indian Population. Invest. Ophthalmol. Vis. Sci. 2011;52(14):1047. doi: https://doi.org/.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: : Fractal analysis is a method to quantify the geometric branching complexity and density of the retinal vessels. This study describes the methodology of fractal analysis and evaluates the reliability of retinal fractal dimension (Df) measurement with a novel computer-assisted method.

Methods: : We developed a new computer-assisted program to measure the Fractal Dimension (Df) of the retinal vessels from digital retinal photographs for disc-centred (OD Df) and macula- centred (Mac Df) views. Retinal photographs from the Singapore Indian Eye Study (SINDI), a population-based survey of 3,400 (75.6% response) persons aged 40 to 80 years, were used for this study. A subset of 171 retinal photographs (5% of SINDI participants) were randomly selected and measured by two trained graders independently to determine the inter-grader reliability. The graders repeated the measurements after two weeks to determine the intra-grader reliability. Inter-grader and Intra-grader reliability was assessed using intra-class correlation coefficients (ICC) and Bland-Altman plots. Pearson correlation coefficients (r) were calculated to assess the associations between Df with age and systolic blood pressure.

Results: : The mean (standard deviation [SD]) OD Df and Mac Df were 1.484 (SD 0.043) and 1.453 (SD 0.060), respectively. Mac Df was significantly lower than OD Df (p<0.001). Both intragrader and intergrader reliability estimates for Df measures were high with ICCs ranging from 0.88 to 0.99. The OD Df and Mac Df were highly correlated (r=0.701, p<0.001). Both OD Df and Mac Df were significantly associated with age (r= -0.287 and-0.466 respectively, all p<0.001) and systolic blood pressure (r= -0.250 and -0.256 respectively, all p<0.001).

Conclusions: : The geometric branching complexity of the retinal vessels can be quantitatively and reliably measured from retinal photographs using this novel computer-based program and shows a strong inverse correlation with age and blood pressure.

Keywords: imaging/image analysis: clinical • blood supply • retina 
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