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Article: A robust multi-shot scan strategy for high-resolution diffusion weighted MRI enabled by multiplexed sensitivity-encoding (MUSE)

TitleA robust multi-shot scan strategy for high-resolution diffusion weighted MRI enabled by multiplexed sensitivity-encoding (MUSE)
Authors
KeywordsMulti-shot echo-planar imaging
Interleaved echo-planar imaging
Multiplexed sensitivity-encoding
Inherent phase correction
Diffusion weighted imaging
Issue Date2013
Citation
NeuroImage, 2013, v. 72, p. 41-47 How to Cite?
AbstractDiffusion weighted magnetic resonance imaging (DWI) data have been mostly acquired with single-shot echo-planar imaging (EPI) to minimize motion induced artifacts. The spatial resolution, however, is inherently limited in single-shot EPI, even when the parallel imaging (usually at an acceleration factor of 2) is incorporated. Multi-shot acquisition strategies could potentially achieve higher spatial resolution and fidelity, but they are generally susceptible to motion-induced phase errors among excitations that are exacerbated by diffusion sensitizing gradients, rendering the reconstructed images unusable. It has been shown that shot-to-shot phase variations may be corrected using navigator echoes, but at the cost of imaging throughput. To address these challenges, a novel and robust multi-shot DWI technique, termed multiplexed sensitivity-encoding (MUSE), is developed here to reliably and inherently correct nonlinear shot-to-shot phase variations without the use of navigator echoes. The performance of the MUSE technique is confirmed experimentally in healthy adult volunteers on 3. Tesla MRI systems. This newly developed technique should prove highly valuable for mapping brain structures and connectivities at high spatial resolution for neuroscience studies. © 2013 Elsevier Inc.
Persistent Identifierhttp://hdl.handle.net/10722/210111
ISSN
2015 Impact Factor: 5.463
2015 SCImago Journal Rankings: 4.464

 

DC FieldValueLanguage
dc.contributor.authorChen, Nan kuei-
dc.contributor.authorGuidon, Arnaud-
dc.contributor.authorChang, Hing Chiu-
dc.contributor.authorSong, Allen W.-
dc.date.accessioned2015-05-22T06:06:40Z-
dc.date.available2015-05-22T06:06:40Z-
dc.date.issued2013-
dc.identifier.citationNeuroImage, 2013, v. 72, p. 41-47-
dc.identifier.issn1053-8119-
dc.identifier.urihttp://hdl.handle.net/10722/210111-
dc.description.abstractDiffusion weighted magnetic resonance imaging (DWI) data have been mostly acquired with single-shot echo-planar imaging (EPI) to minimize motion induced artifacts. The spatial resolution, however, is inherently limited in single-shot EPI, even when the parallel imaging (usually at an acceleration factor of 2) is incorporated. Multi-shot acquisition strategies could potentially achieve higher spatial resolution and fidelity, but they are generally susceptible to motion-induced phase errors among excitations that are exacerbated by diffusion sensitizing gradients, rendering the reconstructed images unusable. It has been shown that shot-to-shot phase variations may be corrected using navigator echoes, but at the cost of imaging throughput. To address these challenges, a novel and robust multi-shot DWI technique, termed multiplexed sensitivity-encoding (MUSE), is developed here to reliably and inherently correct nonlinear shot-to-shot phase variations without the use of navigator echoes. The performance of the MUSE technique is confirmed experimentally in healthy adult volunteers on 3. Tesla MRI systems. This newly developed technique should prove highly valuable for mapping brain structures and connectivities at high spatial resolution for neuroscience studies. © 2013 Elsevier Inc.-
dc.languageeng-
dc.relation.ispartofNeuroImage-
dc.subjectMulti-shot echo-planar imaging-
dc.subjectInterleaved echo-planar imaging-
dc.subjectMultiplexed sensitivity-encoding-
dc.subjectInherent phase correction-
dc.subjectDiffusion weighted imaging-
dc.titleA robust multi-shot scan strategy for high-resolution diffusion weighted MRI enabled by multiplexed sensitivity-encoding (MUSE)-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.neuroimage.2013.01.038-
dc.identifier.pmid23370063-
dc.identifier.scopuseid_2-s2.0-84873702566-
dc.identifier.volume72-
dc.identifier.spage41-
dc.identifier.epage47-
dc.identifier.eissn1095-9572-

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