2 papers
cs.CV2025
Deep learning motion correction of quantitative stress perfusion cardiovascular magnetic resonance
Noortje I. P. Schueler, Nathan C. K. Wong, Richard J. Crawley +3
Background: Quantitative stress perfusion cardiovascular magnetic resonance (CMR) is a powerful tool for assessing myocardial ischemia. Motion correction is essential for accurate…
eess.IV2024
DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI
Denis Prokopenko, David F. A. Lloyd, Amedeo Chiribiri +2
Dynamic fetal heart magnetic resonance imaging (MRI) presents unique challenges due to the fast heart rate of the fetus compared to adult subjects and uncontrolled fetal motion. Th…