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dc.contributor.author
van Gorkum, Robbert J. H.
dc.contributor.author
von Deuster, Constantin
dc.contributor.author
Günthner, Christian Josef
dc.contributor.author
Stoeck, Christian
dc.contributor.author
Kozerke, Sebastian
dc.date.accessioned
2020-08-07T09:32:29Z
dc.date.available
2020-06-24T21:56:43Z
dc.date.available
2020-06-26T09:22:04Z
dc.date.available
2020-08-07T09:32:29Z
dc.date.issued
2020-11
dc.identifier.issn
0740-3194
dc.identifier.issn
1522-2594
dc.identifier.other
10.1002/mrm.28318
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/422237
dc.description.abstract
Purpose Cardiac diffusion tensor imaging using EPI readout is prone to image distortions in the presence of field inhomogeneities. In this work, a framework to analyze and correct image distortions in cardiac diffusion tensor imaging is presented. Methods A multi‐coil reconstruction framework was implemented to enable field map‐based off‐resonance correction. Numerical simulations were used to examine reconstruction performance for EPI phase‐encode directions blip up‐down and down‐up for different degrees of off‐resonance gradients and varying field map resolution. The impact of coil encoding was analyzed using the g‐factor and normalized RMSE. Finally, the proposed method was tested on free‐breathing in vivo cardiac diffusion tensor imaging data acquired in healthy subjects at 3 Tesla. Results Depending on the local field map gradient strength and polarity and the selected phase‐encode direction, field inhomogeneities lead to either local spatial compression or stretching with standard image reconstruction. Although spatial compression results in loss of image resolution upon field map‐based reconstruction, spatial stretching can be recovered once multiple receive coils are utilized. Multi‐coil reconstruction was found to reduce the normalized RMSE from 34.3% to 8.1% for image compression, and 33.6% to 1.8% for image stretching, with resulting average g‐factors 14.7 ± 2.9 and 1.2 ± 0.1, respectively. In vivo, multi‐coil field map‐based reconstruction yielded improved alignment of angle maps with anatomical cine data. Conclusion Multi‐coil, field map‐based image reconstruction for echo‐planar cardiac diffusion tensor imaging allows accurate image reconstruction provided that the phase‐encode direction and polarity is chosen to principally align with the direction and polarity of the prominent gradients of field inhomogeneities.
en_US
dc.language.iso
en
en_US
dc.publisher
Wiley
en_US
dc.subject
Cardiac diffusion tensor imaging
en_US
dc.subject
Coil encoding
en_US
dc.subject
Field inhomogeneity
en_US
dc.subject
Image distortion correction
en_US
dc.subject
Off-resonance
en_US
dc.subject
Parallel imaging
en_US
dc.title
Analysis and correction of off-resonance artifacts in echo-planar cardiac diffusion tensor imaging
en_US
dc.type
Journal Article
dc.date.published
2020-06-12
ethz.journal.title
Magnetic Resonance in Medicine
ethz.journal.volume
84
en_US
ethz.journal.issue
5
en_US
ethz.journal.abbreviated
Magn Reson Med
ethz.pages.start
2561
en_US
ethz.pages.end
2576
en_US
ethz.grant
Magnetic Resonance Imaging-Guided Computational Mechanics of Growth and Remodeling of the Failing Heart
en_US
ethz.grant
MR guided biomechanical modelling of the heart – a novel tool to predict remodelling in heart failure
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Hoboken, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02631 - Institut für Biomedizinische Technik / Institute for Biomedical Engineering::09548 - Kozerke, Sebastian / Kozerke, Sebastian
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02631 - Institut für Biomedizinische Technik / Institute for Biomedical Engineering::09548 - Kozerke, Sebastian / Kozerke, Sebastian
ethz.grant.agreementno
166485
ethz.grant.agreementno
174144
ethz.grant.fundername
SNF
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Interdisziplinäres Projekt
ethz.grant.program
Ambizione
ethz.date.deposited
2020-06-24T21:56:48Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-08-07T09:32:42Z
ethz.rosetta.lastUpdated
2022-03-29T02:47:34Z
ethz.rosetta.versionExported
true
ethz.COinS
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