most citedFlexible water excitation for fat-free MRI at 3 Tesla using lipid insensitive binomial off-resonant RF excitation (LIBRE) pulses

36 citations · 66 across the 3 of their papers we have counts for

collaborators

8 papers

eess.IV2020

Motion Compensated Whole-Heart Coronary Magnetic Resonance Angiography using Focused Navigation (fNAV)

Christopher W Roy, John Heerfordt, Davide Piccini +4

Background: RSN whole-heart CMRA is a technique that estimates and corrects for respiratory motion. However, RSN has been limited to a 1D rigid correction which is often insufficie…

eess.IV2020

T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions

Hélène Lajous, Tom Hilbert, Christopher W. Roy +12

Relaxometry studies in preterm and at-term newborns have provided insight into brain microstructure, thus opening new avenues for studying normal brain development and supporting d…

eess.IV2020

Free-running SIMilarity-Based Angiography (SIMBA) for simplified anatomical MR imaging of the heart

John Heerfordt, Kevin K. Whitehead, Jessica A. M. Bastiaansen +7

Purpose: Whole-heart MRA techniques typically target pre-determined motion states and address cardiac and respiratory dynamics independently. We propose a novel fast reconstruction…

eess.IV2019

Time-Dependent Deep Image Prior for Dynamic MRI

Jaejun Yoo, Kyong Hwan Jin, Harshit Gupta +3

We propose a novel unsupervised deep-learning-based algorithm for dynamic magnetic resonance imaging (MRI) reconstruction. Dynamic MRI requires rapid data acquisition for the study…

physics.med-ph2019

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…

eess.IV2019

Accelerated Coronary MRI with sRAKI: A Database-Free Self-Consistent Neural Network k-space Reconstruction for Arbitrary Undersampling

Seyed Amir Hossein Hosseini, Chi Zhang, Sebastian Weingärtner +4

This study aims to accelerate coronary MRI using a novel reconstruction algorithm, called self-consistent robust artificial-neural-networks for k-space interpolation (sRAKI). sRAKI…