An auto-calibrated, angularly continuous, two-dimensional GRAPPA kernel for propeller trajectories.

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dc.contributor.author Skare, Stefan en
dc.contributor.author Newbould, Rexford D en
dc.contributor.author Nordell, Anders en
dc.contributor.author Holdsworth, Samantha en
dc.contributor.author Bammer, Roland en
dc.date.accessioned 2018-11-13T23:38:01Z en
dc.date.issued 2008-12 en
dc.identifier.issn 0740-3194 en
dc.identifier.uri http://hdl.handle.net/2292/44234 en
dc.description.abstract The k-space readout of propeller-type sequences may be accelerated by the use of parallel imaging (PI). For PROPELLER, the main benefits are reduced blurring due to T(2) decay and specific absorption ratio (SAR) reduction, whereas, for EPI-based propeller acquisitions, such as Turbo-PROP and short-axis readout propeller EPI (SAP-EPI), the faster k-space traversal alleviates geometric distortions. In this work, the feasibility of calculating a two-dimensional (2D) GRAPPA kernel on only the undersampled propeller blades themselves is explored, using the matching orthogonal undersampled blade. It is shown that the GRAPPA kernel varies slowly across blades; therefore, an angularly continuous 2D GRAPPA kernel is proposed, in which the angular variation of the weights is parameterized. This new angularly continuous kernel formulation greatly increases the numerical stability of the GRAPPA weight estimation, allowing for generation of fully sampled diagnostic quality images using only the undersampled propeller data. en
dc.format.medium Print en
dc.language eng en
dc.relation.ispartofseries Magnetic resonance in medicine 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.subject Brain en
dc.subject Humans en
dc.subject Image Interpretation, Computer-Assisted en
dc.subject Magnetic Resonance Imaging en
dc.subject Image Enhancement en
dc.subject Calibration en
dc.subject Sensitivity and Specificity en
dc.subject Reproducibility of Results en
dc.subject Phantoms, Imaging en
dc.subject Algorithms en
dc.subject Pattern Recognition, Automated en
dc.subject Adult en
dc.title An auto-calibrated, angularly continuous, two-dimensional GRAPPA kernel for propeller trajectories. en
dc.type Journal Article en
dc.identifier.doi 10.1002/mrm.21788 en
pubs.issue 6 en
pubs.begin-page 1457 en
pubs.volume 60 en
dc.rights.holder Copyright: The author en
dc.identifier.pmid 19025911 en
pubs.end-page 1465 en
pubs.publication-status Published en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess 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 683340 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 1522-2594 en
pubs.record-created-at-source-date 2008-12-01 en
pubs.dimensions-id 19025911 en


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