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Article: Interleaved diffusion-weighted improved by adaptive partial-Fourier and multiband multiplexed sensitivity-encoding reconstruction

TitleInterleaved diffusion-weighted improved by adaptive partial-Fourier and multiband multiplexed sensitivity-encoding reconstruction
Authors
Keywordsartifact correction
diffusion-weighted imaging
echo-planar imaging
multiplexed sensitivity encoding
Issue Date2015
PublisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0740-3194/
Citation
Magnetic Resonance in Medicine, 2015, v. 73 n. 5, p. 1872-1884 How to Cite?
AbstractPurpose We report a series of techniques to reliably eliminate artifacts in interleaved echo-planar imaging (EPI) based diffusion-weighted imaging (DWI). Methods First, we integrate the previously reported multiplexed sensitivity encoding (MUSE) algorithm with a new adaptive Homodyne partial-Fourier reconstruction algorithm, so that images reconstructed from interleaved partial-Fourier DWI data are free from artifacts even in the presence of either (a) motion-induced k-space energy peak displacement, or (b) susceptibility field gradient induced fast phase changes. Second, we generalize the previously reported single-band MUSE framework to multiband MUSE, so that both through-plane and in-plane aliasing artifacts in multiband multishot interleaved DWI data can be effectively eliminated. Results The new adaptive Homodyne-MUSE reconstruction algorithm reliably produces high-quality and high-resolution DWI, eliminating residual artifacts in images reconstructed with previously reported methods. Furthermore, the generalized MUSE algorithm is compatible with multiband and high-throughput DWI. Conclusion The integration of the multiband and adaptive Homodyne-MUSE algorithms significantly improves the spatial-resolution, image quality, and scan throughput of interleaved DWI. We expect that the reported reconstruction framework will play an important role in enabling high-resolution DWI for both neuroscience research and clinical uses. Magn Reson Med 73:1872-1884, 2015. © 2014 Wiley Periodicals, Inc.
Persistent Identifierhttp://hdl.handle.net/10722/210145
ISSN
2023 Impact Factor: 3.0
2023 SCImago Journal Rankings: 1.343
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChang, HCC-
dc.contributor.authorGuhaniyogi, S-
dc.contributor.authorChen, NK-
dc.date.accessioned2015-05-22T06:52:40Z-
dc.date.available2015-05-22T06:52:40Z-
dc.date.issued2015-
dc.identifier.citationMagnetic Resonance in Medicine, 2015, v. 73 n. 5, p. 1872-1884-
dc.identifier.issn0740-3194-
dc.identifier.urihttp://hdl.handle.net/10722/210145-
dc.description.abstractPurpose We report a series of techniques to reliably eliminate artifacts in interleaved echo-planar imaging (EPI) based diffusion-weighted imaging (DWI). Methods First, we integrate the previously reported multiplexed sensitivity encoding (MUSE) algorithm with a new adaptive Homodyne partial-Fourier reconstruction algorithm, so that images reconstructed from interleaved partial-Fourier DWI data are free from artifacts even in the presence of either (a) motion-induced k-space energy peak displacement, or (b) susceptibility field gradient induced fast phase changes. Second, we generalize the previously reported single-band MUSE framework to multiband MUSE, so that both through-plane and in-plane aliasing artifacts in multiband multishot interleaved DWI data can be effectively eliminated. Results The new adaptive Homodyne-MUSE reconstruction algorithm reliably produces high-quality and high-resolution DWI, eliminating residual artifacts in images reconstructed with previously reported methods. Furthermore, the generalized MUSE algorithm is compatible with multiband and high-throughput DWI. Conclusion The integration of the multiband and adaptive Homodyne-MUSE algorithms significantly improves the spatial-resolution, image quality, and scan throughput of interleaved DWI. We expect that the reported reconstruction framework will play an important role in enabling high-resolution DWI for both neuroscience research and clinical uses. Magn Reson Med 73:1872-1884, 2015. © 2014 Wiley Periodicals, Inc.-
dc.languageeng-
dc.publisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0740-3194/-
dc.relation.ispartofMagnetic Resonance in Medicine-
dc.rightsMagnetic Resonance in Medicine. Copyright © John Wiley & Sons, Inc.-
dc.subjectartifact correction-
dc.subjectdiffusion-weighted imaging-
dc.subjectecho-planar imaging-
dc.subjectmultiplexed sensitivity encoding-
dc.titleInterleaved diffusion-weighted improved by adaptive partial-Fourier and multiband multiplexed sensitivity-encoding reconstruction-
dc.typeArticle-
dc.identifier.emailChang, HCC: hccchang@hku.hk-
dc.identifier.authorityChang, HCC=rp02024-
dc.identifier.doi10.1002/mrm.25318-
dc.identifier.pmid24925000-
dc.identifier.pmcidPMC4265007-
dc.identifier.scopuseid_2-s2.0-84928046291-
dc.identifier.volume73-
dc.identifier.issue5-
dc.identifier.spage1872-
dc.identifier.epage1884-
dc.identifier.isiWOS:000353240600019-
dc.publisher.placeUnited States-
dc.identifier.issnl0740-3194-

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