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 |