Support-Constrained Motion-Artifact Correction for Magnetic Resonance Imaging

Abstract

Motion during the collection of a magnetic resonance imaging (MRI) data set causes phase errors which result in a smearing or ghosting of the image. In this paper we present a new algorithm for correcting translational motion errors. It follows the same philosophy as the gradient search approaches that we invented to determine the aberrations of the Hubble Space Telescope [1] and to correct phase errors for synthetic-aperture radar [2].