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3D Isotropic-resolution Non-rigid Motion Compensated Liver T1, T2 and fat fraction mapping

Author:Giorgia Milotta  Gastao Cruz  Radhouene Neji  Claudia Prieto  Rene Botnar  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Novel & Multicontrast Approaches  

Session Name:Multicontrast Methods  

Program Number:1234  

Room Session:Concurrent 4  

Institution:King's College London  University College London  

Deep learning-based reconstruction for 3D coronary MR angiography with a 3D variational neural network (3D-VNN)

End-to-end Motion Corrected Reconstruction using Deep Learning for Accelerated Free-breathing Cardiac MRI

LAPNet: Deep-learning based non-rigid motion estimation in k-space from highly undersampled respiratory and cardiac resolved acquisitions

Low Rank Motion Correction for free breathing first pass myocardial perfusion

Myocardial T1, T2, T2* and Fat Fraction Quantification via Low-Rank Motion-Corrected Cardiac MRF

A Neural Network for Rapid Generation of T1, T2, T1? Dictionaries for Cardiac MR Fingerprinting

Non-contrast, high spatial resolution coronary magnetic resonance angiography versus coronary computed tomography angiography

One-heartbeat cardiac CINE imaging via jointly regularized non-rigid motion corrected reconstruction

Simultaneous comprehensive T1, T2, T2*, T1? and Fat Fraction characterization with Magnetic Resonance Fingerprinting

Simultaneous T1, T2 and T1? cardiac Magnetic Resonance Fingerprinting for Contrast-free Myocardial Tissue Characterization

Whole-heart CMRA non-rigid motion compensation with autofocus virtual 3D iNAV