Quantitative map** of MR tissue parameters such as the spin‐lattice relaxation time (T1),
the spin‐spin relaxation time (T2), and the spin‐lattice relaxation in the rotating frame (T1ρ) …

Magnetic resonance fingerprinting (MRF) is a general framework to quantify multiple MR‐
sensitive tissue properties with a single acquisition. There have been numerous advances in …

Purpose To develop a model‐guided self‐supervised deep learning MRI reconstruction
framework called reference‐free latent map extraction (RELAX) for rapid quantitative MR …

Magnetic resonance fingerprinting (MRF) is a magnetic resonance imaging (MRI)-based
method that can provide quantitative maps of multiple tissue properties simultaneously from …

Purpose MR‐STAT is a relatively new multiparametric quantitative MRI technique in which
quantitative paramater maps are obtained by solving a large‐scale nonlinear optimization …

Objective. Bloch simulation constitutes an essential part of magnetic resonance imaging
(MRI) development. However, even with the graphics processing unit (GPU) acceleration …

Fast and accurate modeling of MR signal responses are typically required for various
quantitative MRI applications, such as MR fingerprinting. This work uses a new extended …

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 …

Magnetic resonance fingerprinting (MRF) based on echo-planar imaging (EPI) enables
whole-brain imaging to rapidly obtain T1 and T2* relaxation time maps. Reconstructing …

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 …