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Age dependency of abdominal fat depot volumes and proton density fat fractions in people with obesity

Comparison of data-driven approaches for gradient delay corrections in PDFF mapping using a radial stack-of-stars acquisition

Data-consistent super resolution for 3D whole-heart MRI using a motion-corrected deep-learning reconstruction framework

DE-NIK: Leveraging Dual-Echo Data for Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit k-Space Representations

Fat-Water Separation: Fundamentals

Author:Dimitrios Karampinos  

Session Type:Sunrise Course  

Session Date:Tuesday, 07 May 2024  

Session Name:Absolute Beginner's Guide to Fat-Water Separation  

Program Number:

Room Session:Nicoll 2  

Institution:Technical University of Munich  

Highly efficient simultaneous joint T1-T2 mapping for isotropic resolution 3D knee imaging at 0.55 T

Learning non-rigid registration in k-space from highly-accelerated cardiac and respiratory MR data

MR-blob: Coordinate-Transformed Blobs for Parallel MRI Reconstruction

Non-invasive segmentation of individual watershed areas allows detection of hemodynamic impairments in internal carotid artery stenosis

PHIMO: Physics-Informed Motion Correction of GRE MRI for T2* Quantification

Rapid Motion Estimation and Motion-Corrected End-to-End Deep Learning Reconstruction for 1 Heartbeat CINE

Reconstruction-free segmentation from undersampled k-space using transformers

Self-Supervised Low-rank plus Sparse Network for Radial MRI Reconstruction

Single point Dixon for water-fat separation in musculoskeletal TSE imaging

Subspace modeling enables time-efficient B1-corrected volumetric water-specific relaxometry with a long echo train CASPR trajectory

Textural changes in the amygdala are more sensitive than volumetric changes in cocaine use disorder patients undergoing therapy

TransGRAPPA: Self-supervised Transformer Network for k-Space Interpolation

Uncertainty assessment of iterative image reconstruction for dynamic contrast enhancement (DCE) MRI