Magnetic resonance fingerprinting–an overview
Abstract Magnetic Resonance Fingerprinting (MRF) is a new approach to quantitative
magnetic resonance imaging that allows simultaneous measurement of multiple tissue …
magnetic resonance imaging that allows simultaneous measurement of multiple tissue …
Emerging trends in fast MRI using deep-learning reconstruction on undersampled k-space data: a systematic review
Magnetic Resonance Imaging (MRI) is an essential medical imaging modality that provides
excellent soft-tissue contrast and high-resolution images of the human body, allowing us to …
excellent soft-tissue contrast and high-resolution images of the human body, allowing us to …
MR fingerprinting deep reconstruction network (DRONE)
Purpose Demonstrate a novel fast method for reconstruction of multi‐dimensional MR
fingerprinting (MRF) data using deep learning methods. Methods A neural network (NN) is …
fingerprinting (MRF) data using deep learning methods. Methods A neural network (NN) is …
Optimal experiment design for magnetic resonance fingerprinting: Cramér-Rao bound meets spin dynamics
Magnetic resonance (MR) fingerprinting is a new quantitative imaging paradigm, which
simultaneously acquires multiple MR tissue parameter maps in a single experiment. In this …
simultaneously acquires multiple MR tissue parameter maps in a single experiment. In this …
3D MR fingerprinting with accelerated stack-of-spirals and hybrid sliding-window and GRAPPA reconstruction
Purpose Whole-brain high-resolution quantitative imaging is extremely encoding intensive,
and its rapid and robust acquisition remains a challenge. Here we present a 3D MR …
and its rapid and robust acquisition remains a challenge. Here we present a 3D MR …
Magnetic resonance fingerprinting Part 1: Potential uses, current challenges, and recommendations
Magnetic resonance fingerprinting (MRF) is a powerful quantitative MRI technique capable
of acquiring multiple property maps simultaneously in a short timeframe. The MRF …
of acquiring multiple property maps simultaneously in a short timeframe. The MRF …
Detection of lesions in mesial temporal lobe epilepsy by using MR fingerprinting
Purpose To improve diagnosis of hippocampal sclerosis (HS) in patients with mesial
temporal lobe epilepsy (MTLE) by using MR fingerprinting and compare with visual …
temporal lobe epilepsy (MTLE) by using MR fingerprinting and compare with visual …
Fast 3D brain MR fingerprinting based on multi‐axis spiral projection trajectory
Purpose To develop a fast, sub‐millimeter 3D magnetic resonance fingerprinting (MRF)
technique for whole‐brain quantitative scans. Methods An acquisition trajectory based on …
technique for whole‐brain quantitative scans. Methods An acquisition trajectory based on …
Coupled dictionary learning for multi-contrast MRI reconstruction
Magnetic resonance (MR) imaging tasks often involve multiple contrasts, such as T1-
weighted, T2-weighted and fluid-attenuated inversion recovery (FLAIR) data. These …
weighted, T2-weighted and fluid-attenuated inversion recovery (FLAIR) data. These …
Sparsity and locally low rank regularization for MR fingerprinting
Purpose Develop a sparse and locally low rank (LLR) regularized reconstruction to
accelerate MR fingerprinting (MRF). Methods Recent works have introduced low rank …
accelerate MR fingerprinting (MRF). Methods Recent works have introduced low rank …