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 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 …

Magnetic resonance (MR) fingerprinting is an emerging quantitative MR imaging technique
that simultaneously acquires multiple tissue parameters in an efficient experiment. In this …

Magnetic resonance (MR) fingerprinting is a new quantitative imaging paradigm, which
simultaneously acquires multiple MR tissue parameter maps in a single experiment. In this …

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 …

Current implementations of MR fingerprinting typically require over 1000 measurements to
obtain the desired tissue maps. The large number entails an increased specific absorption …

Purpose The proposed reconstruction framework addresses the reconstruction accuracy,
noise propagation and computation time for magnetic resonance fingerprinting. Methods …

Objective: Magnetic resonance fingerprinting (MRF) is a new technique for simultaneously
quantifying multiple MR parameters using one temporally resolved MR scan. In MRF, MR …

This paper introduces a statistical estimation framework for magnetic resonance (MR)
fingerprinting, a recently proposed quantitative imaging paradigm. Within this framework, we …

Magnetic Resonance Fingerprinting (MRF) is an MR technique that generates parameter
maps by matching pseudo randomly generated MR signals with a precalculated dictionary …