arXiv (Cornell University)
Multi-Parameter Molecular MRI Quantification using Physics-Informed Self-Supervised Learning
November 2024 • Alex Finkelstein, Nikita Vladimirov, Moritz Zaiß, Or Perlman
Biophysical model fitting plays a key role in obtaining quantitative parameters from physiological signals and images. However, the model complexity for molecular magnetic resonance imaging (MRI) often translates into excessive computation time, which makes clinical use impractical. Here, we present a generic computational approach for solving the parameter extraction inverse problem posed by ordinary differential equation (ODE) modeling coupled with experimental measurement of the system dynamics. This is achieve…