Readout-segmented EPI for rapid high resolution diffusion imaging at 3 T.

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dc.contributor.author Holdsworth, Samantha en
dc.contributor.author Skare, Stefan en
dc.contributor.author Newbould, Rexford D en
dc.contributor.author Guzmann, Raphael en
dc.contributor.author Blevins, Nikolas H en
dc.contributor.author Bammer, Roland en
dc.date.accessioned 2018-11-13T23:09:17Z en
dc.date.issued 2008-01 en
dc.identifier.citation European journal of radiology 65(1):36-46 Jan 2008 en
dc.identifier.issn 1872-7727 en
dc.identifier.uri http://hdl.handle.net/2292/44206 en
dc.description.abstract Readout mosaic segmentation has been suggested as an alternative approach to EPI for high resolution diffusion-weighted imaging (DWI). In the readout-segmented EPI (RS-EPI) scheme, segments of k-space are acquired along the readout direction. This reduces geometric distortions due to the decrease in readout time. In this work, further distortion reduction is achieved by combining RS-EPI with parallel imaging (PI). The performance of the PI-accelerated RS-EPI scheme is assessed in volunteers and patients at 3T with respect to both standard EPI and PI-accelerated EPI. Peripherally cardiac gated and non-gated RS-EPI images are acquired to assess whether motion due to brain pulsation significantly degrades the image quality. Due to the low off-resonance of PI-driven RS-EPI, we also investigate if the eddy currents induced by the diffusion gradients are low enough to use the Stejskal-Tanner diffusion preparation instead of the twice-refocused eddy-current compensated diffusion preparation to reduce TE. It is shown that non-gated phase corrected DWI performs equally as well as gated acquisitions. PI-driven DW RS-EPI images with substantially less distortion compared with single-shot EPI are shown in patients-allowing the delineation of structures in the lower parts of the brain. A twice-refocused diffusion preparation was found necessary to avoid blurring in the DWI data. This paper shows that the RS-EPI scheme may be an important alternative sampling strategy to EPI to achieve high resolution T2-weighted and diffusion-weighted images. en
dc.format.medium Print-Electronic en
dc.language eng en
dc.relation.ispartofseries European journal of radiology en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/ en
dc.subject Brain en
dc.subject Humans en
dc.subject Hemangioma, Cavernous, Central Nervous System en
dc.subject Cholesteatoma en
dc.subject Diffusion Magnetic Resonance Imaging en
dc.subject Echo-Planar Imaging en
dc.subject Brain Mapping en
dc.subject Image Processing, Computer-Assisted en
dc.title Readout-segmented EPI for rapid high resolution diffusion imaging at 3 T. en
dc.type Journal Article en
dc.identifier.doi 10.1016/j.ejrad.2007.09.016 en
pubs.issue 1 en
pubs.begin-page 36 en
pubs.volume 65 en
dc.rights.holder Copyright: Elsevier en
dc.identifier.pmid 17980534 en
pubs.end-page 46 en
pubs.publication-status Published en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Research Support, Non-U.S. Gov't en
pubs.subtype research-article en
pubs.subtype Journal Article en
pubs.subtype Research Support, N.I.H., Extramural en
pubs.elements-id 683335 en
pubs.org-id Medical and Health Sciences en
pubs.org-id Medical Sciences en
pubs.org-id Anatomy and Medical Imaging en
dc.identifier.eissn 1872-7727 en
pubs.record-created-at-source-date 2008-01-08 en
pubs.dimensions-id 17980534 en


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