Reduction of Uncertainty in Bolus Transit Time Measurement in Quantitative Fluorescence Angiography

Abstract During cerebral revascularization surgeries, blood flow values help surgeons to monitor the quality of procedure, e.g., avoid hyperperfusion syndrome due excessively enhanced perfusion. The state-of-the-art technique is ultrasonic probe that has be placed around vessel. This causes contact between and vessel, which, in worst case, leads rupture. recently developed intraoperative indocyanine green (ICG) Quantitative Fluorescence Angiography (QFA) an alternative overcomes this risk. However, it been shown by developer calculated deviations. After determining bolus transit time as most sensitive parameter calculation, we propose a new two-step uncertainty reduction method for calculation. first step generate more data each measurement results functions parameters. Noise can then reduced second step. Two methods are compared. fits model function separately calculates from models, while one multiple together. latter proven perform best silico tests. Besides, reduces deviation comparing original QFA expected. Our approach generally used all applications using two-point theory. Further development possible if number dimensions achieved broadened even processing