Estimating retinal vascular permeability from fluorescein videoangiography data despite signal saturation in large vessels in low-dynamic range systems

Fluorescein videoangiography is often used to visualize diabetic retinopathy (DR), a degenerative disease characterized by degradation of retinal blood vessels. However, more sensitive and quantitative measures of increased vessel permeability in the asymptomatic phase of DR (non-proliferative DR) could help identify patients who would benefit from therapeutic intervention to avoid vision loss. Here, a modified “adiabatic approximation to the tissue-homogeneity model” was shown in simulations and rat experiments to estimate extraction fraction within a 20%-error for physiological ranges of vascular permeability expected in nonproliferative DR, even in low-dynamic-range (8-bit) fluorescein imaging systems that are standard in many institutes.

[1]  M. Ulbig,et al.  Diabetic retinopathy - ocular complications of diabetes mellitus. , 2015, World journal of diabetes.

[2]  K. Tichauer,et al.  Kinetic model optimization for characterizing tumour physiology by dynamic contrast-enhanced near-infrared spectroscopy , 2013, Physics in medicine and biology.

[3]  Micah J. Guthrie,et al.  Quantitative retinal blood flow mapping from fluorescein videoangiography using tracer kinetic modeling. , 2015, Optics letters.

[4]  Kenneth M. Tichauer,et al.  Estimating retinal vascular permeability using the adiabatic approximation to the tissue homogeneity model with fluorescein videoangiography , 2015, Biophotonics South America.

[5]  R. Craen,et al.  A CT method to measure hemodynamics in brain tumors: validation and application of cerebral blood flow maps. , 2000, AJNR. American journal of neuroradiology.

[6]  K. Zierler,et al.  On the theory of the indicator-dilution method for measurement of blood flow and volume. , 1954, Journal of applied physiology.

[7]  Ting-Yim Lee,et al.  An Adiabatic Approximation to the Tissue Homogeneity Model for Water Exchange in the Brain: II. Experimental Validation , 1998, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[8]  Kenneth M. Tichauer,et al.  Estimating retinal vascular permeability from human fluorescein videoangiography data: optimization and sensitivity analysis of kinetic models , 2019, BiOS.

[9]  T. Sano,et al.  [Diabetic retinopathy]. , 2001, Nihon rinsho. Japanese journal of clinical medicine.

[10]  Patrick Pérez,et al.  Object removal by exemplar-based inpainting , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..