title: Artifact free T2*-weighted imaging at high spatial resolution using segmented EPI sequences.
abstract: The aim of this work was the development of novel measurement techniques that acquire high resolution T2*-weighted datasets in measurement times as short as possible without suffering from noticeable blurring and ghosting artifacts. Therefore, two new measurement techniques were developed that acquire a smoother k-space than generic multi shot echo planar imaging sequences. One is based on the principle of echo train shifting, the other on the reversed gradient method. Simulations and phantom measurements demonstrate that echo train shifting works properly and reduces artifacts in multi shot echo planar imaging. For maximum SNR-efficiency this technique was further improved by adding a second contrast. Both contrasts can be acquired within a prolongation in measurement time by a factor of 1.5, leading to an SNR increase by approximately 2. Furthermore it is demonstrated that the reversed gradient method remarkably reduces artifacts caused by a discontinuous k-space weighting. Assuming sequence parameters as feasible for fMRI experiments, artifact free T2*-weighted images with a matrix size of 256 × 256 leading to an in-plane resolution in the submillimeter range can be obtained in about 2s per slice.
authors.affiliation: University of Heidelberg, Computer Assisted Clinical Medicine, Mannheim, Germany. patrick.heiler@medma.uni-heidelberg.de
authors.forename: Patrick Michael
authors.initials: PM
authors.lastname: Heiler
authors.forename: Sebastian
authors.initials: S
authors.lastname: Schmitter
authors.forename: Lothar Rudi
authors.initials: LR
authors.lastname: Schad
mesh_terms: D001921:Brain / Q000033:anatomy & histology / Q000502:physiology*; D003198:Computer Simulation; D004569:Electroencephalography / Q000379:methods; D056228:Feedback, Sensory / Q000502:physiology; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D019047:Phantoms, Imaging; D014796:Visual Perception / Q000502:physiology