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

Elif Kayaalp Nalbant, Wenqiang Liu, Hande Pehlivan, Shailee Shah, Anessa Puskar, Meghna Sampath, William F. Mieler, Jennifer J. Kang-Mieler, Kenneth M. Tichauer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationOphthalmic Technologies XXX
EditorsFabrice Manns, Arthur Ho, Per G. Soderberg
ISBN (Electronic)9781510631991
DOIs
StatePublished - 2020
Event30th Conference on Ophthalmic Technologies - San Francisco, United States
Duration: 1 Feb 20202 Feb 2020

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume11218
ISSN (Print)1605-7422

Conference

Conference30th Conference on Ophthalmic Technologies
Country/TerritoryUnited States
CitySan Francisco
Period1/02/202/02/20

Keywords

  • Fluorescein videoangiography
  • Low-dynamic range
  • Mathematical model
  • Retinopathy

Fingerprint

Dive into the research topics of 'Estimating retinal vascular permeability from fluorescein videoangiography data despite signal saturation in large vessels in low-dynamic range systems'. Together they form a unique fingerprint.

Cite this