Modified Iterative Reconstruction Algorithm for Spiral MRI

The MRI imaging is an efficient tool for disease diagnosis, and the features of the taken image has much importance. The reconstruction of such images needs much attention. The main limitation of MRI imaging is its long scan time. The time taken for acquisition can be reduced by non Cartesian acquisition. Spiral MRI is a non Cartesian MRI imaging and is less affected by motion and flow artifacts. Still, reconstruction of images from non-Cartesian MRI data will suffer from reconstruction errors and in-homogeneity artifacts. This will adversely affect the disease diagnosis. Algorithms like conjugate phase method, Field map calculating Methods, iterative Next Neighbor re-gridding algorithms etc were proposed for solving such issues. Among these, iterative Next Neighbor re-gridding algorithm proved efficient. The main focus of this paper is on efficient reconstruction of spiral MRI image with an improved Iterative next neighbor algorithm which will result in comparatively better picture quality.