84 citations · 351 across the 15 of their papers we have counts for
16 papers
Data-driven discovery of mechanical models directly from MRI spectral data
D. G. J. Heesterbeek, M. H. C. van Riel, T. van Leeuwen +2
Finding interpretable biomechanical models can provide insight into the functionality of organs with regard to physiology and disease. However, identifying broadly applicable dynam…
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…
Time-Resolved Reconstruction of Motion, Force, and Stiffness using Spectro-Dynamic MRI
Max H. C. van Riel, Tristan van Leeuwen, Cornelis A. T. van den Berg +1
Measuring the dynamics and mechanical properties of muscles and joints is important to understand the (patho)physiology of muscles. However, acquiring dynamic time-resolved MRI dat…
Real-time myocardial landmark tracking for MRI-guided cardiac radio-ablation using Gaussian Processes
Niek R. F. Huttinga, Osman Akdag, Martin F. Fast +5
The high speed of cardiorespiratory motion introduces a unique challenge for cardiac stereotactic radio-ablation (STAR) treatments with the MR-linac. Such treatments require tracki…
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…
Real-time non-rigid 3D respiratory motion estimation for MR-guided radiotherapy using MR-MOTUS
Niek R. F. Huttinga, Tom Bruijnen, Cornelis A. T. van den Berg +1
The MR-Linac is a combination of an MR-scanner and radiotherapy linear accelerator (Linac) which holds the promise to increase the precision of radiotherapy treatments with MR-guid…
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…
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…
Combining Deep Learning and 3D Contrast Source Inversion in MR-based Electrical Properties Tomography
Reijer L. Leijsen, Cornelis A. T. van den Berg, Andrew G. Webb +2
Magnetic resonance-electrical properties tomography (MR-EPT) is a technique used to estimate the conductivity and permittivity of tissues from MR measurements of the transmit magne…
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…
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…
Opening a new window on MR-based Electrical Properties Tomography with deep learning
Stefano Mandija, Ettore F. Meliadò, Niek R. F. Huttinga +2
Electrical properties (EPs) of tissues, conductivity and permittivity, are modulated by the ionic and water content, which change in presence of pathologies. Information on tissues…
A Parametric Study of Radiative Dipole Body Array Coil for 7 Tesla MRI
Anna A. Hurshkainen, Bart Steensma, Stanislav B. Glybovski +5
In this contribution we present numerical and experimental results of a parametric quantitative study of radiative dipole antennas in a phased array configuration for efficient bod…
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…
Element Decoupling of 7T Dipole Body Arrays by EBG Metasurface Structures: Experimental Verification
Anna A. Hurshkainen, Tatyana A. Derzhavskaya, Stanislav B. Glybovski +4
Metasurfaces are artificial electromagnetic boundaries or interfaces usually implemented as two-dimensional periodic structures with subwavelength periodicity and engineered proper…