Cardiac MR: from theory to practice

TF Ismail, W Strugnell, C Coletti… - Frontiers in …, 2022 - frontiersin.org
Cardiovascular disease (CVD) is the leading single cause of morbidity and mortality,
causing over 17. 9 million deaths worldwide per year with associated costs of over $800 …

Rapid MR relaxometry using deep learning: An overview of current techniques and emerging trends

L Feng, D Ma, F Liu - NMR in Biomedicine, 2022 - Wiley Online Library
Quantitative map** of MR tissue parameters such as the spin‐lattice relaxation time (T1),
the spin‐spin relaxation time (T2), and the spin‐lattice relaxation in the rotating frame (T1ρ) …

Image reconstruction: From sparsity to data-adaptive methods and machine learning

S Ravishankar, JC Ye, JA Fessler - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
The field of medical image reconstruction has seen roughly four types of methods. The first
type tended to be analytical methods, such as filtered backprojection (FBP) for X-ray …

Water–fat Dixon cardiac magnetic resonance fingerprinting

O Jaubert, G Cruz, A Bustin, T Schneider… - Magnetic resonance …, 2020 - Wiley Online Library
Purpose Cardiac magnetic resonance fingerprinting (cMRF) has been recently introduced to
simultaneously provide T1, T2, and M0 maps. Here, we develop a 3‐point Dixon‐cMRF …

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 …

A self-supervised deep learning reconstruction for shortening the breathhold and acquisition window in cardiac magnetic resonance fingerprinting

JI Hamilton - Frontiers in Cardiovascular Medicine, 2022 - frontiersin.org
The aim of this study is to shorten the breathhold and diastolic acquisition window in cardiac
magnetic resonance fingerprinting (MRF) for simultaneous T1, T2, and proton spin density …

Magnetic resonance fingerprinting review part 2: Technique and directions

DF McGivney, R Boyacıoğlu, Y Jiang… - Journal of Magnetic …, 2020 - Wiley Online Library
Magnetic resonance fingerprinting (MRF) is a general framework to quantify multiple MR‐
sensitive tissue properties with a single acquisition. There have been numerous advances in …

Myocardial T1, T2, T2*, and fat fraction quantification via low‐rank motion‐corrected cardiac MR fingerprinting

GJ Lima da Cruz, C Velasco, B Lavin… - Magnetic …, 2022 - Wiley Online Library
Purpose Develop a novel 2D cardiac MR fingerprinting (MRF) approach to enable
simultaneous T1, T2, T2*, and fat fraction (FF) myocardial tissue characterization in a single …

[HTML][HTML] Free-running cardiac magnetic resonance fingerprinting: Joint T1/T2 map and Cine imaging

O Jaubert, G Cruz, A Bustin, T Schneider… - Magnetic resonance …, 2020 - Elsevier
Purpose To develop and evaluate a novel non-ECG triggered 2D magnetic resonance
fingerprinting (MRF) sequence allowing for simultaneous myocardial T 1 and T 2 map** …

Optimized multi‐axis spiral projection MR fingerprinting with subspace reconstruction for rapid whole‐brain high‐isotropic‐resolution quantitative imaging

X Cao, C Liao, SS Iyer, Z Wang, Z Zhou… - Magnetic …, 2022 - Wiley Online Library
Purpose To improve image quality and accelerate the acquisition of 3D MR fingerprinting
(MRF). Methods Building on the multi‐axis spiral‐projection MRF technique, a subspace …