Purpose To develop an efficient algorithm for multi‐component analysis of magnetic
resonance fingerprinting (MRF) data without making a priori assumptions about the exact …

We propose a dictionary-matching-free pipeline for multi-parametric quantitative MRI image
computing. Our approach has two stages based on compressed sensing reconstruction and …

MR fingerprinting (MRF) is a promising method for quantitative characterization of tissues.
Often, voxel-wise measurements are made, assuming a single tissue-type per voxel …

Quantitative magnetic resonance imaging (qMRI) is concerned with estimating (in physical
units) values of magnetic and tissue parameters, eg, relaxation times T_1, T_2, or proton …

We propose a novel numerical approach to separate multiple tissue compartments in image
voxels and to estimate quantitatively their nuclear magnetic resonance (NMR) properties …

We propose a dictionary-matching-free pipeline for multi-parametric quantitative MRI image
computing. Our approach has two stages based on compressed sensing reconstruction and …

Intensity modulated radiation treatment aims to achieve accurate treatment of cancer without
introducing damage and side effects to organs at risk (OAR). Development of medical …

abstract MR fingerprinting (MRF) is a promising method for quantitative characterization of
tissues. Often, voxel-wise measurements are made, assuming a single tissue-type per voxel …

We leverage convex optimization techniques to perform Bayesian uncertainty quantification
(UQ) for hyperspectral (HS) inverse imaging problems. The proposed approach generalizes …

In the context of quantitative Magnetic Resonance Imaging (qMRI), the recently proposed
Magnetic Resonance Fingerprinting (MRF) technique has significantly reduced the …