Correction of movement artifacts from 4-D cardiac short- and long-axis MR data

Abstract

Typically a cardiac MR cine series consists of images over several time points but only from one spatial location. The volumetric information is obtained by combining 2-D slices from different image series. If a patient moves during an MR imaging session, the slices from different image series shift relative to each other, and the 3-D volume reconstructed does not represent the real geometry. In this study, an algorithm was developed to correct movement artifacts simultaneously from short- and long-axis MR cine series. The performance of the algorithm was evaluated by calculating the accuracy of the method against simulated movements imposed on real data, and by visually inspecting the results with real patient images. In both cases, the algorithm reduced significantly movement artifacts. © Springer-Verlag Berlin Heidelberg 2004.