In this paper, we first present a new method for reconstruction of MRI data sampled on a non-uniform k-space trajectory.

MRI has recently been identified as a promising application for compressed-sensing-like regularization because of its potential to speed up the acquisition ...

In this paper, we propose a new reconstruction technique for non-uniformly sub-Nyquist sampled k-space data. Several parts make up this technique, such as the ...

Augmented Lagrangian based Reconstruction of non-uniformly sub-Nyquist sampled MRI data J. Aelterman, H. Luong, B. Goossens, A. Pizurica, W. Philips Abstract: ...

In this paper, we propose a new reconstruction technique for non-uniformly sub-Nyquist sampled k-space data. Several parts make up this technique, such as the ...

Augmented Lagrangian-based techniques already have been exploited in non-Cartesian single-coil regularized MRI reconstruction [14]; our variable splitting is ...

Titel: Augmented Lagrangian based reconstruction of non-uniformly sub-Nyquist sampled MRI data ; ISSN: 0165-1684 ; Auteur (persoon):: Aelterman, Jan TW07 biblio ...

Sep 12, 2014 · There have been recent studies to apply compressed sensing. (CS) technique to reconstruct undersampled MR data [12,21], and it has been shown ...

Augmented Lagrangian based reconstruction of non-uniformly sub-Nyquist sampled MRI data. J Aelterman, HQ Luong, B Goossens, A Pižurica, W Philips. Signal ...

This review paper summarizes several key models and optimization algorithms for MR image reconstruction, including both the type of methods that have FDA ...