92 citations · 125 across the 7 of their papers we have counts for
3 papers · 1 filter
Model-Informed Machine Learning for Multi-component T2 Relaxometry
Thomas Yu, Erick Jorge Canales Rodriguez, Marco Pizzolato +9
Recovering the T2 distribution from multi-echo T2 magnetic resonance (MR) signals is challenging but has high potential as it provides biomarkers characterizing the tissue micro-st…
SPARCQ: A new approach for fat fraction mapping using asymmetries in the phase-cycled bSSFP signal profile
Giulia MC Rossi, Adele LC Mackowiak, Tom Hilbert +4
Purpose: To develop SPARCQ (Signal Profile Asymmetries for Rapid Compartment Quantification), a novel approach to quantify fat fraction using asymmetries in the phase-cycled bSSFP…
Compressed Sensing with Signal Averaging for Improved Sensitivity and Motion Artifact Reduction in Fluorine-19 MRI
Emeline Darçot, Jérôme Yerly, Tom Hilbert +5
Fluorine-19 (19F) MRI of injected perfluorocarbon emulsions (PFCs) allows for the non-invasive quantification of inflammation and cell tracking, but suffers from a low signal-to-no…