activity
20192025
most citedFree-running SIMilarity-Based Angiography (SIMBA) for simplified anatomical MR imaging of the heart

15 citations · 42 across the 6 of their papers we have counts for

collaborators

7 papers

physics.med-ph2025

VPAL: A novel method to reduce reconstruction time for 5D free-running imaging

Yitong Yang, Muhammad Naeem, Marly Van Assen +5

Purpose: Ferumoxytal-enhanced 5D free-running whole heart CMR provides image quality comparable to CTA, but requires hours-long reconstruction time, preventing clinical usage. This…

physics.med-ph2023

Pilot tone-guided focused navigation for free-breathing whole-liver fat-water and T2* quantification

Adèle LC Mackowiak, Christopher W Roy, Mariana BL Falcão +7

Purpose To achieve whole-liver motion-corrected fat fraction (FF) and R2* quantification with a 3-minute free-breathing (FB) 3D radial isotropic acquisition, for increased organ co…

physics.med-ph2022★ 15 cited

Motion-resolved fat-fraction mapping with whole-heart free-running multiecho gre and pilot tone

Adèle L. C. Mackowiak, Christopher W. Roy, Jérôme Yerly +6

PURPOSE To develop free-running multi-echo GRE for cardiac- and respiratory-motion-resolved whole-heart fat fraction quantification. METHODS Multi-echo readouts optimized for water…

physics.med-ph2021★ 1 cited

FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom

Hélène Lajous, Christopher W. Roy, Tom Hilbert +16

Accurate characterization of in utero human brain maturation is critical as it involves complex and interconnected structural and functional processes that may influence health lat…

eess.IV2020★ 15 cited

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★ 11 cited

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…