activity
20172020
most citedDictionary-free MR Fingerprinting reconstruction of balanced-GRE sequences

12 citations · 12 across the 1 of their papers we have counts for

collaborators

5 papers

physics.med-ph2020

Non-rigid 3D motion estimation at high temporal resolution from prospectively undersampled k-space data using low-rank MR-MOTUS

Niek R. F. Huttinga, Tom Bruijnen, Cornelis A. T. van den Berg +1

With the recent introduction of the MR-LINAC, an MR-scanner combined with a radiotherapy LINAC, MR-based motion estimation has become of increasing interest to (retrospectively) ch…

physics.med-ph2019

High resolution in-vivo MR-STAT using a matrix-free and parallelized reconstruction algorithm

Oscar van der Heide, Alessandro Sbrizzi, Peter R. Luijten +1

MR-STAT is a recently proposed framework that allows the reconstruction of multiple quantitative parameter maps from a single short scan by performing spatial localisation and para…

physics.med-ph2019

Model-based reconstruction of non-rigid 3D motion-fields from minimal -space data: MR-MOTUS

Niek R. F. Huttinga, Cornelis A. T. van den Berg, Peter R. Luijten +1

Estimation of internal body motion with high spatio-temporal resolution can greatly benefit MR-guided radiotherapy/interventions and cardiac imaging, but remains a challenge to dat…

physics.med-ph201712 cited

Dictionary-free MR Fingerprinting reconstruction of balanced-GRE sequences

Alessandro Sbrizzi, Tom Bruijnen, Oscar van der Heide +2

Magnetic resonance fingerprinting (MRF) can successfully recover quantitative multi-parametric maps of human tissue in a very short acquisition time. Due to their pseudo-random nat…

physics.app-ph2017

Fast quantitative MRI as a nonlinear tomography problem

Alessandro Sbrizzi, Oscar van der Heide, Martijn Cloos +4

Quantitative Magnetic Resonance Imaging (MRI) is based on a two-steps approach: estimation of the magnetic moments distribution inside the body, followed by a voxel-by-voxel quanti…