This article reviews the basic concept of MR fingerprinting (MRF) with the goal of
highlighting MRF's key contributions, putting them in the context of other quantitative MRI …

Magnetic resonance fingerprinting (MRF) is a fast MRI-based technique that allows for
multiparametric quantitative characterization of the tissues of interest in a single acquisition …

Magnetic resonance fingerprinting (MRF) is a method to extract quantitative tissue properties
such as T 1 and T 2 relaxation rates from arbitrary pulse sequences using conventional MRI …

Purpose The acquisition of multiparametric quantitative magnetic resonance imaging (qMRI)
is becoming increasingly important for functional characterization of cancer prior to‐and …

Purpose To introduce a computationally efficient approach to optimizing the data acquisition
parameters of MR Fingerprinting experiments with the Cramér–Rao bound. Methods This …

Purpose Development of a generic model‐based reconstruction framework for
multiparametric quantitative MRI that can be used with data from different pulse sequences …

Magnetic resonance fingerprinting (MRF) is able to estimate multiple quantitative tissue
parameters from a relatively short acquisition. The main characteristic of an MRF sequence …

Purpose To develop a framework for 3D sodium (23Na) MR fingerprinting (MRF), based on
irreducible spherical tensor operators with tailored flip angle (FA) pattern and time‐efficient …

Purpose To develop a method for MR Fingerprinting (MRF) sequence optimization that takes
both the applied undersampling pattern and a realistic reference map into account. Methods …

Purpose To improve the performance of neural networks for parameter estimation in
quantitative MRI, in particular when the noise propagation varies throughout the space of …