MRI Image Reconstruction Using Polar-coordinates Conversion of k-space Data

[MRI image reconstruction using polar-coordinates conversion of k-space data].

In this study, we proposed the new reconstruction techniques for magnetic resonance imaging (MRI) using filtered back projection (FBP) or simultaneous reconstruction technique (SIRT). We converted the k-space which was acquired by conventional phase-encoding schemes from Cartesian coordinates to polar coordinates and created the projection. The linear interpolation and the sinc interpolation we...

Fast Iterative Reconstruction for MRI from Nonuniform k-space Data

In magnetic resonance imaging (MRI), methods that use a non-Cartesian (e.g. spiral) sampling grid in k-space are becoming increasingly important. Reconstruction is usually performed by resampling the data onto a Cartesian grid. In this paper we compare the standard approach (gridding) and an approach based on an implicit discretisation. We show that both methods can be solved efficiently with t...

MR Image Reconstruction from Sparse and Corrupted k-Space Data

This paper reviews resampling of nonuniformly sampled k-space data to a Cartesian grid and adds a new formula enabling quick computation of the shape parameter B of the KaiserBessel convolution window. In addition, a very recently conceived iterative estimation of the sampling density correction is explained and applied to sparse radial MRI scans. Keywords— rapid scanning, undersampling, griddi...

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data