Evidence map›Paper›PMID 29427393›Full record

ArticleMagnetic resonance in medicine2018

Dynamic 2D self-phase-map Nyquist ghost correction for simultaneous multi-slice echo planar imaging.

Uten Yarach, Yi-Hang Tung, Kawin Setsompop, Myung-Ho In, Itthi Chatnuntawech, Renat Yakupov, Frank Godenschweger, Oliver Speck

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Uten YarachDepartment of Radiologic Technology, Chiang Mai University, Chiang Mai, Thailand.
Yi-Hang TungDepartment of Biomedical Magnetic Resonance, Otto-von-Guericke University Magdeburg, Germany.
Kawin SetsompopA. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Myung-Ho InDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Itthi ChatnuntawechNational Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand.
Renat YakupovDepartment of Biomedical Magnetic Resonance, Otto-von-Guericke University Magdeburg, Germany.
Frank GodenschwegerDepartment of Biomedical Magnetic Resonance, Otto-von-Guericke University Magdeburg, Germany.
Oliver SpeckDepartment of Biomedical Magnetic Resonance, Otto-von-Guericke University Magdeburg, Germany.

Funding

RGR-based motion tracking for real-time adaptive MR imaging and spectroscopyR01DA021146 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI ERNST, THOMAS M · 2007 to 2018
$8.6M
NIDA NIH HHS R01 DA021146
6 · The paper itself

Abstract

purposeTo develop a reconstruction pipeline that intrinsically accounts for both simultaneous multislice echo planar imaging (SMS-EPI) reconstruction and dynamic slice-specific Nyquist ghosting correction in time-series data.

methodsAfter 1D slice-group average phase correction, the separate polarity (i.e., even and odd echoes) SMS-EPI data were unaliased by slice GeneRalized Autocalibrating Partial Parallel Acquisition. Both the slice-unaliased even and odd echoes were jointly reconstructed using a model-based framework, extended for SMS-EPI reconstruction that estimates a 2D self-phase map, corrects dynamic slice-specific phase errors, and combines data from all coils and echoes to obtain the final images.

resultsThe percentage ghost-to-signal ratios (%GSRs) and its temporal variations for MB3R

conclusionThe proposed reconstruction pipeline reduced slice-specific phase errors in SMS-EPI, resulting in reduction of GSR. It is applicable for functional MRI studies because the smoothing effect caused by the regularization parameter selection can be minimal in a blood-oxygen-level-dependent activation map.

Indexed as

Signal Processing, Computer-AssistedAlgorithmsArtifactsBrainEcho-Planar ImagingHumansImage Processing, Computer-AssistedPhantoms, ImagingSignal-To-Noise RatioNyquist ghostself-phase mapslice-specific phase correctionSMS-EPI

Identifiers

PMID29427393
PMCPMC6085172

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.