Estimating retinal vascular permeability using the adiabatic approximation to the tissue homogeneity model with fluorescein videoangiography

Kenneth M. Tichauer; Christian R. Osswald; Emily Dosmar; Micah J. Guthrie; Logan Hones; Lagnojita Sinha; Xiaochun Xu; William F. Mieler; Keith St. Lawrence; Jennifer J. Kang-Mieler

doi:10.1117/12.2180643

19 June 2015 Estimating retinal vascular permeability using the adiabatic approximation to the tissue homogeneity model with fluorescein videoangiography

Kenneth M. Tichauer, Christian R. Osswald, Emily Dosmar, Micah J. Guthrie, Logan Hones, Lagnojita Sinha, Xiaochun Xu, William F. Mieler, Keith St. Lawrence, Jennifer J. Kang-Mieler

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Proceedings Volume 9531, Biophotonics South America; 95310M (2015) https://doi.org/10.1117/12.2180643
Event: SPIE Biophotonics South America, 2015, Rio de Janeiro, Brazil

Abstract

Clinical symptoms of diabetic retinopathy are not detectable until damage to the retina reaches an irreversible stage, at least by today’s treatment standards. As a result, there is a push to develop new, “sub-clinical” methods of predicting the onset of diabetic retinopathy before the onset of irreversible damage. With diabetic retinopathy being associated with the accumulation of long-term mild damage to the retinal vasculature, retinal blood vessel permeability has been proposed as a key parameter for detecting preclinical stages of retinopathy. In this study, a kinetic modeling approach used to quantify vascular permeability in dynamic contrast-enhanced medical imaging was evaluated in noise simulations and then applied to retinal videoangiography data in a diabetic rat for the first time to determine the potential for this approach to be employed clinically as an early indicator of diabetic retinopathy. Experimental levels of noise were found to introduce errors of less than 15% in estimates of blood flow and extraction fraction (a marker of vascular permeability), and fitting of rat retinal fluorescein angiography data provided stable maps of both parameters.

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Kenneth M. Tichauer, Christian R. Osswald, Emily Dosmar, Micah J. Guthrie, Logan Hones, Lagnojita Sinha, Xiaochun Xu, William F. Mieler, Keith St. Lawrence, and Jennifer J. Kang-Mieler "Estimating retinal vascular permeability using the adiabatic approximation to the tissue homogeneity model with fluorescein videoangiography", Proc. SPIE 9531, Biophotonics South America, 95310M (19 June 2015); https://doi.org/10.1117/12.2180643

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KEYWORDS

Blood circulation

Tissues

Retina

Blood

Mathematical modeling

Data modeling

Imaging systems

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