84 citations · 155 across the 7 of their papers we have counts for
7 papers
Quantitative mapping from conventional MRI using self-supervised physics-guided deep learning: applications to a large-scale, clinically heterogeneous dataset
Jelmer van Lune, Stefano Mandija, Oscar van der Heide +5
Magnetic resonance imaging (MRI) is a cornerstone of clinical neuroimaging, yet conventional MRIs provide qualitative information heavily dependent on scanner hardware and acquisit…
Time-efficient, high-resolution 3T whole-brain relaxometry using Cartesian 3D MR-STAT with CSF suppression
Hongyan Liu, Edwin Versteeg, Miha Fuderer +4
Purpose: Current 3D Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT) protocols use transient-state, gradient-spoiled gradient-echo sequences that are prone to cerebrospi…
Acceleration Strategies for MR-STAT: Achieving High-Resolution Reconstructions on a Desktop PC within 3 minutes
Hongyan Liu, Oscar van der Heide, Stefano Mandija +2
MR-STAT is an emerging quantitative magnetic resonance imaging technique which aims at obtaining multi-parametric tissue parameter maps from single short scans. It describes the re…
Fast and Accurate Modeling of Transient-State Gradient-Spoiled Sequences by Recurrent Neural Networks
Hongyan Liu, Oscar van der Heide, Cornelis A. T. van den Berg +1
Fast and accurate modeling of MR signal responses are typically required for various quantitative MRI applications, such as MR Fingerprinting and MR-STAT. This work uses a new EPG-…
Technical feasibility of Magnetic Resonance Fingerprinting on a 1.5T MRI-Linac
T. Bruijnen, O. van der Heide, M. P. W. Intven +4
Hybrid MRI-linac (MRL) systems enable daily multiparametric quantitative MRI to assess tumor response to radiotherapy. Magnetic Resonance Fingerprinting (MRF) may provide time effi…
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…
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…