Compressed sensing MRI: a review of the clinical literature
MRI is one of the most dynamic and safe imaging techniques available in the clinic today.
However, MRI acquisitions tend to be slow, limiting patient throughput and limiting potential …
However, MRI acquisitions tend to be slow, limiting patient throughput and limiting potential …
Compressed sensing for body MRI
The introduction of compressed sensing for increasing imaging speed in magnetic
resonance imaging (MRI) has raised significant interest among researchers and clinicians …
resonance imaging (MRI) has raised significant interest among researchers and clinicians …
XD‐GRASP: golden‐angle radial MRI with reconstruction of extra motion‐state dimensions using compressed sensing
Purpose To develop a novel framework for free‐breathing MRI called XD‐GRASP, which
sorts dynamic data into extra motion‐state dimensions using the self‐navigation properties …
sorts dynamic data into extra motion‐state dimensions using the self‐navigation properties …
Golden‐angle radial sparse parallel MRI: combination of compressed sensing, parallel imaging, and golden‐angle radial sampling for fast and flexible dynamic …
Purpose To develop a fast and flexible free‐breathing dynamic volumetric MRI technique,
iterative Golden‐angle RAdial Sparse Parallel MRI (iGRASP), that combines compressed …
iterative Golden‐angle RAdial Sparse Parallel MRI (iGRASP), that combines compressed …
Deep learning single-frame and multiframe super-resolution for cardiac MRI
Background Cardiac MRI is limited by long acquisition times, yet faster acquisition of smaller-
matrix images reduces spatial detail. Deep learning (DL) might enable both faster …
matrix images reduces spatial detail. Deep learning (DL) might enable both faster …
Recent advances in parallel imaging for MRI
J Hamilton, D Franson, N Seiberlich - Progress in nuclear magnetic …, 2017 - Elsevier
Abstract Magnetic Resonance Imaging (MRI) is an essential technology in modern
medicine. However, one of its main drawbacks is the long scan time needed to localize the …
medicine. However, one of its main drawbacks is the long scan time needed to localize the …
[HTML][HTML] Compressed sensing MRI: a review from signal processing perspective
JC Ye - BMC Biomedical Engineering, 2019 - Springer
Magnetic resonance imaging (MRI) is an inherently slow imaging modality, since it acquires
multi-dimensional k-space data through 1-D free induction decay or echo signals. This often …
multi-dimensional k-space data through 1-D free induction decay or echo signals. This often …
Accelerating cardiac cine MRI using a deep learning‐based ESPIRiT reconstruction
CM Sandino, P Lai, SS Vasanawala… - Magnetic Resonance …, 2021 - Wiley Online Library
Purpose To propose a novel combined parallel imaging and deep learning‐based
reconstruction framework for robust reconstruction of highly accelerated 2D cardiac cine MRI …
reconstruction framework for robust reconstruction of highly accelerated 2D cardiac cine MRI …
5D whole‐heart sparse MRI
Purpose A 5D whole‐heart sparse imaging framework is proposed for simultaneous
assessment of myocardial function and high‐resolution cardiac and respiratory motion …
assessment of myocardial function and high‐resolution cardiac and respiratory motion …
Fast 3D magnetic resonance fingerprinting for a whole‐brain coverage
Purpose The purpose of this study was to accelerate the acquisition and reconstruction time
of 3D magnetic resonance fingerprinting scans. Methods A 3D magnetic resonance …
of 3D magnetic resonance fingerprinting scans. Methods A 3D magnetic resonance …