7 papers
Physics-Informed Implicit Neural Representations for Improved Myocardial Perfusion MRI Quantification
Christos Tsepas, Chang Yan, Maximilian Fuetterer +2
Quantifying myocardial perfusion from cardiac magnetic resonance (CMR) can be achieved by fitting tracer-kinetic models to the dynamic contrast-enhanced MR data. However, fitting t…
Time-resolved aortic 3D shape reconstruction from a limited number of cine 2D MRI slices
Gloria Wolkerstorfer, Stefano Buoso, Rabea Schlenker +3
Background and Objective: To assess the feasibility and accuracy of reconstructing time-resolved, three-dimensional, subject-specific aortic geometries from a limited number of sta…
Localized FNO for Spatiotemporal Hemodynamic Upsampling in Aneurysm MRI
Kyriakos Flouris, Moritz Halter, Yolanne Y. R. Lee +6
Hemodynamic analysis is essential for predicting aneurysm rupture and guiding treatment. While magnetic resonance flow imaging enables time-resolved volumetric blood velocity measu…
FlowMRI-Net: A Generalizable Self-Supervised 4D Flow MRI Reconstruction network
Luuk Jacobs, Marco Piccirelli, Valery Vishnevskiy +1
Background: Image reconstruction from highly undersampled 4D flow MRI data can be very time consuming and may result in significant underestimation of velocities depending on regul…
Temperature-dependent dynamic nuclear polarization of diamond
Gevin von Witte, Aaron Himmler, Konstantin Tamarov +3
Dynamic nuclear polarization (DNP) can increase nuclear magnetic resonance (NMR) signals by orders of magnitude. DNP in diamond proceeds through different DNP mechanisms with a pos…
The role of nuclear spin diffusion in dynamic nuclear polarization of crystalline nanoscale silicon particles
Gevin von Witte, Konstantin Tamarov, Neva Sahin +7
Hyperpolarized nanoparticles (NPs) offer high polarization levels with room temperature relaxation times exceeding half an hour. In this work, we demonstrate that the achievable hy…