Non‐Cartesian parallel imaging reconstruction
KL Wright, JI Hamilton, MA Griswold… - Journal of Magnetic …, 2014 - Wiley Online Library
Non‐Cartesian parallel imaging has played an important role in reducing data acquisition
time in MRI. The use of non‐Cartesian trajectories can enable more efficient coverage of k …
time in MRI. The use of non‐Cartesian trajectories can enable more efficient coverage of k …
Second order total generalized variation (TGV) for MRI
Total variation was recently introduced in many different magnetic resonance imaging
applications. The assumption of total variation is that images consist of areas, which are …
applications. The assumption of total variation is that images consist of areas, which are …
Reducing acquisition time in clinical MRI by data undersampling and compressed sensing reconstruction
KG Hollingsworth - Physics in Medicine & Biology, 2015 - iopscience.iop.org
MRI is often the most sensitive or appropriate technique for important measurements in
clinical diagnosis and research, but lengthy acquisition times limit its use due to cost and …
clinical diagnosis and research, but lengthy acquisition times limit its use due to cost and …
Accelerating SENSE using compressed sensing
Both parallel MRI and compressed sensing (CS) are emerging techniques to accelerate
conventional MRI by reducing the number of acquired data. The combination of parallel MRI …
conventional MRI by reducing the number of acquired data. The combination of parallel MRI …
Parallel MR image reconstruction using augmented Lagrangian methods
S Ramani, JA Fessler - IEEE transactions on medical imaging, 2010 - ieeexplore.ieee.org
Magnetic resonance image (MRI) reconstruction using SENSitivity Encoding (SENSE)
requires regularization to suppress noise and aliasing effects. Edge-preserving and sparsity …
requires regularization to suppress noise and aliasing effects. Edge-preserving and sparsity …
A fast wavelet-based reconstruction method for magnetic resonance imaging
M Guerquin-Kern, M Haberlin… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
In this work, we exploit the fact that wavelets can represent magnetic resonance images
well, with relatively few coefficients. We use this property to improve magnetic resonance …
well, with relatively few coefficients. We use this property to improve magnetic resonance …
Iterative thresholding compressed sensing MRI based on contourlet transform
Reducing the acquisition time is important for clinical magnetic resonance imaging (MRI).
Compressed sensing has recently emerged as a theoretical foundation for the …
Compressed sensing has recently emerged as a theoretical foundation for the …
Scan-specific generative neural network for MRI super-resolution reconstruction
The interpretation and analysis of Magnetic resonance imaging (MRI) benefit from high
spatial resolution. Unfortunately, direct acquisition of high spatial resolution MRI is time …
spatial resolution. Unfortunately, direct acquisition of high spatial resolution MRI is time …
Improving parallel imaging by jointly reconstructing multi‐contrast data
Purpose To develop parallel imaging techniques that simultaneously exploit coil sensitivity
encoding, image phase prior information, similarities across multiple images, and …
encoding, image phase prior information, similarities across multiple images, and …
A fast and flexible MRI system for the study of dynamic vocal tract shaping
Purpose The aim of this work was to develop and evaluate an MRI‐based system for study
of dynamic vocal tract shaping during speech production, which provides high spatial and …
of dynamic vocal tract shaping during speech production, which provides high spatial and …