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

Purpose An extended phase graph framework (EPG‐X) for modeling systems with exchange
or magnetization transfer (MT) is proposed. Theory EPG‐X models coupled two …

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 An analytical approach to Bloch simulations for MRI sequences is introduced that
enables time efficient calculations of signals free of Monte‐Carlo noise, while providing full …

A magnetic resonance imaging (MRI) simulator, which reproduces MRI experiments using
computers, has been developed using two graphic-processor-unit (GPU) boards (GTX …

Purpose This study aims to estimate PD, T1, T2, T2*, and B0 simultaneously using magnetic
resonance fingerprinting (MRF) with compensation of the linearly varying background field …

Purpose To develop neural network (NN)‐based quantitative MRI parameter estimators with
minimal bias and a variance close to the Cramér–Rao bound. Theory and Methods We …

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 …

Objective: We extend the traditional framework for estimating subspace bases in quantitative
MRI that maximize the preserved signal energy to additionally preserve the Cramér-Rao …

Purpose Slice‐selective, gradient‐crushed, transient‐state sequences such as those used in
MR fingerprinting (MRF) relaxometry are sensitive to slice profile effects. Whereas balanced …