3 papers
eess.IV2019
Learning the Sampling Pattern for MRI
Ferdia Sherry, Martin Benning, Juan Carlos De los Reyes +5
The discovery of the theory of compressed sensing brought the realisation that many inverse problems can be solved even when measurements are "incomplete". This is particularly int…
math.NA2019
Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration
Veronica Corona, Angelica I. Aviles-Rivero, Noemie Debroux +4
This work addresses a central topic in Magnetic Resonance Imaging (MRI) which is the motion-correction problem in a joint reconstruction and registration framework. From a set of m…
cs.CV2018
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction
Angelica I. Aviles-Rivero, Noémie Debroux, Guy Williams +2
We address the problem of reconstructing high quality images from undersampled MRI data. This is a challenging task due to the highly ill-posed nature of the problem. In particular…