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

Gao, Yang 1; Weiß, Miriam 1; Nahm, Werner 1
1 Institut für Biomedizinische Technik (IBT), Karlsruher Institut für Technologie (KIT)

Abstract:

During cerebral revascularization surgeries, blood flow values help surgeons to monitor the quality of the pro- cedure, e.g., to avoid cerebral hyperperfusion syndrome due to excessively enhanced perfusion. The state-of-the-art technique is the ultrasonic flow probe that has to be placed around the blood vessel. This causes contact between probe and vessel, which, in the worst case, leads to rupture. The recently developed intraoperative indocyanine green (ICG) Quantitative Fluorescence Angiography (QFA) is an alternative technique that overcomes this risk. However, it has been shown by the developer that the calculated flow has deviations. After determining the bolus transit time as the most sensitive parameter in flow calculation, we propose a new two-step uncertainty reduction method for flow calculation. The first step is to generate more data in each measurement that results in functions of the parameters. Noise can then be reduced in a second step. Two methods for this step are compared. The first method fits the model for each parameter function separately and calculates flow from models, while the second one fits multiple parameter functions together. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000163827
Veröffentlicht am 08.11.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biomedizinische Technik (IBT)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 01.09.2023
Sprache Englisch
Identifikator ISSN: 2364-5504
KITopen-ID: 1000163827
Erschienen in Current Directions in Biomedical Engineering
Verlag De Gruyter
Band 9
Heft 1
Seiten 619 – 622
Schlagwörter ICG, Quantitative Fluorescence Angiography, QFA, neurosurgery, non-contact, blood flow measurement, uncertainty reduction.
Nachgewiesen in Scopus
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