activity
20172026
most citedFast quantitative MRI as a nonlinear tomography problem

84 citations · 299 across the 23 of their papers we have counts for

collaborators

25 papers

physics.app-ph2026

Towards an effective medium theory for in-vivo Magnetic Resonance: Characterizing Admissible Magnetization Dynamics

Alessandro Sbrizzi, Miha Fuderer, Ray Sheombarsing

The classical Bloch equation forms the foundation of magnetic resonance theory but may be insufficient to capture the complex effective dynamics observed in heterogeneous materials…

physics.med-ph2026

Fast ungated five-dimensional cardiac MRI on a 1.5 T MR-linac for MRI-guided radiotherapy

M. L. Terpstra, T. E. Olausson, M. M. N. Aubert +4

Background: Stereotactic arrhythmia radio-ablation (STAR) for patients with ventricular tachycardia is currently limited by complex cardiorespiratory motion. Current 5D-MRI motion…

eess.IV2026

Model-based Dynamic 3D MRI Reconstructions using Neural Fields and Tensor Product Expansions

Ray Sheombarsing, Max van Riel, David Heesterbeek +2

Conventional MRI reconstruction methods treat images and coil sensitivities as discrete objects, leading to high memory demands and limited structural awareness that hamper effecti…

physics.med-ph2026

Feasibility of Continuous Ventricular Volumetric Quantification in Arrhythmias using Real-Time 3D CMR-MOTUS

Thomas E. Olausson, Maarten L. Terpstra, Rizwan Ahmad +7

Conventional cardiovascular magnetic resonance (CMR) cine imaging combines data across multiple heartbeats, an assumption that can fail in arrhythmia because beat-to-beat variation…

physics.med-ph2026

An in vivo validation dataset for dynamic volumetric MRI

Max H. C. van Riel, David G. J. Heesterbeek, Martijn Froeling +2

Dynamic volumetric MRI provides valuable information on in vivo motion and biomechanics, with applications spanning cardiac, musculoskeletal, or pulmonary imaging, amongst others.…

physics.med-ph2026

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…