June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Comparing FA and OCTA evaluation of retinal vascularity of murine eyes with diabetic retinopathy with Contrast-Limited Adaptive Histogram Equalization (CLAHE) and Matched Filter Image Processing Technique
Author Affiliations & Notes
  • Christopher Loh
    Brown University Warren Alpert Medical School, Providence, Rhode Island, United States
  • Pengfei Zhang
    Department of Cell Biology and Human Anatomy, University of California Davis, Davis, California, United States
  • Ratheesh K. Meleppat
    Department of Cell Biology and Human Anatomy, University of California Davis, Davis, California, United States
  • Oscar Ramos-Soto
    Division de Electronica y Computacion, Universidad de Guadalajara Centro Universitario de Ciencias Exactas e Ingenieria, Guadalajara, Jalisco, Mexico
  • Sandra E. Balderas-Mata
    Division de Electronica y Computacion, Universidad de Guadalajara Centro Universitario de Ciencias Exactas e Ingenieria, Guadalajara, Jalisco, Mexico
  • Robert J Zawadzki
    Department of Ophthalmology & Vision Science, University of California Davis, Sacramento, California, United States
  • Susanna S Park
    Department of Ophthalmology & Vision Science, University of California Davis, Sacramento, California, United States
  • Footnotes
    Commercial Relationships   Christopher Loh None; Pengfei Zhang None; Ratheesh Meleppat None; Oscar Ramos-Soto None; Sandra Balderas-Mata None; Robert Zawadzki None; Susanna Park None
  • Footnotes
    Support  NIH grants EY026556 (RJZ) and EY012576 (NEI Core Grant)
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 2958 – F0112. doi:
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      Christopher Loh, Pengfei Zhang, Ratheesh K. Meleppat, Oscar Ramos-Soto, Sandra E. Balderas-Mata, Robert J Zawadzki, Susanna S Park; Comparing FA and OCTA evaluation of retinal vascularity of murine eyes with diabetic retinopathy with Contrast-Limited Adaptive Histogram Equalization (CLAHE) and Matched Filter Image Processing Technique. Invest. Ophthalmol. Vis. Sci. 2022;63(7):2958 – F0112.

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

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Abstract

Purpose : Fluorescein angiography (FA) remains the gold standard used to evaluate the morphology and leakage of retinal vasculature, but it requires an intravenous injection of fluorescein dye and a skilled photographer. OCT angiography (OCTA) is a newer noninvasive (contrast agent free) imaging technique developed to evaluate morphology of the retinal vasculature. This study evaluated whether retinal vascular density noted in murine eyes with diabetic retinopathy using FA is comparable to those observed using OCTA.

Methods : Simultaneous FA and OCTA images were obtained, using custom build mouse retinal OCT/SLO system, from STZ (Streptozotocin)-induced diabetic mice 6 months after induction of diabetes. The acquired images (FA fundus and OCTA enface projections) were processed to obtain a better profile of the vascular parameters. At first, the Contrast-Limited Adaptive Histogram Equalization (CLAHE) was used to improve the background-vessel contrast. Then, a two-dimensional matched filter was applied by using a Gaussian kernel with two different standard deviation values to enhance both thick and thin vessels. Images of total areas of retina were obtained and analyzed using ImageJ software with the Vessel Analysis plugin to quantify the retinal vascular density of the entire imaged retina ~50deg FOV (total) on FA and OCTA.

Results : Retinal vascular density of the total area on standard FA and OCTA images did not correlate significantly (N=14; correlation r=0.081, p value=0.783, using ANOVA regression). However, when analysis was performed on enhanced images using CLAHE and two-dimensional matched filter, vascular density on FA and OCTA images significantly correlated (N=14; correlation r=0.742, p value=0.002, using ANOVA regression).

Conclusions : Retinal vascular density obtained using FA correlates well with retinal vascular density obtained using OCTA in murine eyes with diabetic retinopathy after application of Contrast-Limited Adaptive Histogram Equalization (CLAHE) and two-dimensional matched filter with Gaussian kernel. Vascular density on FA and OCTA was found to correlate better after image enhancement improved contrast of the fine retinal capillaries.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

 

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