Combined diffusion‐relaxometry microstructure imaging: Current status and future prospects

PJ Slator, M Palombo, KL Miller… - Magnetic resonance …, 2021 - Wiley Online Library
Microstructure imaging seeks to noninvasively measure and map microscopic tissue
features by pairing mathematical modeling with tailored MRI protocols. This article reviews …

Magnetic resonance fingerprinting Part 1: Potential uses, current challenges, and recommendations

ME Poorman, MN Martin, D Ma… - Journal of Magnetic …, 2020 - Wiley Online Library
Magnetic resonance fingerprinting (MRF) is a powerful quantitative MRI technique capable
of acquiring multiple property maps simultaneously in a short timeframe. The MRF …

Automated design of pulse sequences for magnetic resonance fingerprinting using physics-inspired optimization

SP Jordan, S Hu, I Rozada… - Proceedings of the …, 2021 - National Acad Sciences
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 …

MP2RAGEME: T1, T2*, and QSM mapping in one sequence at 7 tesla

MWA Caan, PL Bazin, JP Marques… - Human brain …, 2019 - Wiley Online Library
Quantitative magnetic resonance imaging generates images of meaningful physical or
chemical variables measured in physical units that allow quantitative comparisons between …

[HTML][HTML] A deep learning approach for magnetization transfer contrast MR fingerprinting and chemical exchange saturation transfer imaging

B Kim, M Schär, HW Park, HY Heo - Neuroimage, 2020 - Elsevier
Semisolid magnetization transfer contrast (MTC) and chemical exchange saturation transfer
(CEST) MRI based on MT phenomenon have shown potential to evaluate brain …

Fast 3D brain MR fingerprinting based on multi‐axis spiral projection trajectory

X Cao, H Ye, C Liao, Q Li, H He… - Magnetic resonance in …, 2019 - Wiley Online Library
Purpose To develop a fast, sub‐millimeter 3D magnetic resonance fingerprinting (MRF)
technique for whole‐brain quantitative scans. Methods An acquisition trajectory based on …

Fast data-driven learning of parallel MRI sampling patterns for large scale problems

MVW Zibetti, GT Herman, RR Regatte - Scientific Reports, 2021 - nature.com
In this study, a fast data-driven optimization approach, named bias-accelerated subset
selection (BASS), is proposed for learning efficacious sampling patterns (SPs) with the …

3D free‐breathing cardiac magnetic resonance fingerprinting

G Cruz, O Jaubert, H Qi, A Bustin, G Milotta… - NMR in …, 2020 - Wiley Online Library
Purpose To develop a novel respiratory motion compensated three‐dimensional (3D)
cardiac magnetic resonance fingerprinting (cMRF) approach for whole‐heart myocardial T1 …

Sparsity and locally low rank regularization for MR fingerprinting

G Lima da Cruz, A Bustin, O Jaubert… - Magnetic resonance …, 2019 - Wiley Online Library
Purpose Develop a sparse and locally low rank (LLR) regularized reconstruction to
accelerate MR fingerprinting (MRF). Methods Recent works have introduced low rank …

Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging

PA Gómez, M Cencini, M Golbabaee, RF Schulte… - Scientific reports, 2020 - nature.com
Novel methods for quantitative, transient-state multiparametric imaging are increasingly
being demonstrated for assessment of disease and treatment efficacy. Here, we build on …