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Updated: Oct 24, 2026

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases
Published on: March 11, 2016
Correction of arterial input-function saturation for extraction fraction estimation in retinal fluorescein
Sarah Rose Vavrek1, Elif Kayaalp Nalbant1, Nicholas Konopek2
1Biomedical Engineering Dept., Illinois Institute of Technology, 3255 South Dearborn Street, Chicago, Illinois, 60616, United States.
Objective:
Quantitative retinal fluorescein videoangiography (FVA) can estimate extraction fraction (E), but the 8-bit intensity resolution of clinical systems creates a dynamic-range tradeoff: preserving arterial input function (AIF) linearity can restrict tissue signal, particularly for pixel-level analysis. We developed a single-bolus correction method to broaden the usable acquisition range while maintaining E estimation accuracy.
Approach:
The method combined truncated-mean reconstruction when sufficient unsaturated arterial pixels remained with gamma-variate interpolation when saturation dominated the first-pass peak. Development simulations used four human-derived AIF templates, empirically characterized signal-dependent noise, and 20 paired realizations evaluated over arterial scaling factors f = 0.1-2.25. Tissue curves were generated using a distributed-transit-time AATH model and fitted using a plug-flow AATH model. The locked correction threshold was then evaluated by artificially clipping raw arterial-pixel time curves from 10 originally undersaturated FVAs without adding synthetic noise. Performance was compared with the clipped arterial mean, PCHIP, and gamma-variate interpolation alone.
Main Results:
The combined method completed all 60 patient-by-clipping analyses and produced lower first-pass peak, normalized mean squared error, and area-under-the-curve errors than the comparator methods under moderate-to-strong clipping. In kinetic simulations, mean absolute relative ROI E error with the uncorrected AIF increased from 17 ± 9% at f = 1.25 to 60 ± 20% at f = 2.25, whereas corrected-AIF error remained approximately 10-20%. Single-pixel E error decreased as signal approached the detector ceiling, reached 17 ± 11% at f = 1.75, and remained statistically similar across f = 0.8-2.0. No single-pixel fits failed at f ≥ 1.0.
Significance:
The correction framework converts modest AIF saturation from a restrictive acquisition limit into a manageable analytical condition. This broader operating range is valuable for 8-bit FVA, supporting acquisition near the detector ceiling to improve tissue signal and enable high-resolution E mapping without dual-bolus acquisition.
