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Reference-based linear curve fitting for bolus arrival time estimation in 4D MRA and MR perfusion-weighted image
Nils Daniel Forkert1, Jens Fiehler, Thorsten Ries
1Department of Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. n.forkert@uke.uni-hamburg.de
This study introduces a novel method for accurately estimating bolus arrival time (BAT) using indicator dilution curves. The approach improves precision by up to 59% and reduces computation time without requiring distribution assumptions.
Area of Science:
- Cardiovascular Physiology
- Medical Imaging Analysis
- Hemodynamic Monitoring
Background:
- Bolus arrival time (BAT) from indicator dilution curves is a critical hemodynamic parameter.
- Direct BAT estimation is challenging, and existing parametric models lack clear physiological validation.
- A need exists for robust methods to accurately determine BAT from indicator dilution data.
Purpose of the Study:
- To present an indirect method for estimating BAT by incorporating patient-specific physiological information.
- To improve the precision and efficiency of BAT estimation compared to standard techniques.
- To develop a method that does not rely on assumptions about indicator dilution distribution.
Main Methods:
- Extraction of a patient-specific hemodynamic reference curve and its corresponding BAT.
- Linear fitting of the reference curve to the given signal curve.
- Transfer of the reference BAT to the signal curve using fitting parameters.
Main Results:
- Monte Carlo simulations validated the proposed method.
- Improved BAT estimation precision by up to 59% compared to standard methods.
- Reduced computation time for BAT estimation.
Conclusions:
- The indirect method effectively estimates BAT by leveraging physiological data implicitly.
- The approach offers enhanced precision and computational efficiency in hemodynamic monitoring.
- This method avoids the need for explicit assumptions regarding indicator dilution distributions.
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