Minimal Linear Networks for Magnetic Resonance Image Reconstruction

Advanced Motion Correction and Image Reconstruction for Cardiac Magnetic Resonance

Progressive Magnetic Resonance Image Reconstruction Based on Iterative Solution of a Sparse Linear System

Image reconstruction from nonuniformly sampled spatial frequency domain data is an important problem that arises in computed imaging. Current reconstruction techniques suffer from limitations in their model and implementation. In this paper, we present a new reconstruction method that is based on solving a system of linear equations using an efficient iterative approach. Image pixel intensities...

Parallel Magnetic Resonance Imaging Reconstruction by Image Editing

Introduction In aliased images, pixels from different parts of the field of view overlap. The task of parallel imaging reconstruction is equivalent to extracting each individual pixel from the sum. Magnetic resonance spectroscopy (MRS) has long sought to extract a signal of interest from overlapping signals at the same frequency using various spectral editing techniques. One very effective spec...

Magnetic resonance image reconstruction from non-equidistantly sampled data

In this paper, we consider the problem of magnetic resonance (MR) image reconstruction from non-uniformly sampled data acquired by echo-planar imaging (EPI) and spiral scan imaging (SSI) techniques. In EPI, mismatches in the timings of the odd and even echoes collected with readout gradients of alternating polarity will result in \N=2" ghosting in the reconstructed images. We propose a new meth...

Highly Undersampled Magnetic Resonance Image Reconstruction via Homotopic ℓ0 -Minimization

In clinical magnetic resonance imaging (MRI), any reduction in scan time offers a number of potential benefits ranging from high-temporal-rate observation of physiological processes to improvements in patient comfort. Following recent developments in compressive sensing (CS) theory, several authors have demonstrated that certain classes of MR images which possess sparse representations in some ...