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Article: Ultrafast multi-slice spatiotemporally encoded MRI with slice-selective dimension segmented

TitleUltrafast multi-slice spatiotemporally encoded MRI with slice-selective dimension segmented
Authors
KeywordsMulti-slice MRI
Segmented slice selection
Spatiotemporal encoding
Issue Date2016
Citation
Journal of Magnetic Resonance, 2016, v. 269, p. 138-145 How to Cite?
AbstractAs a recently emerging method, spatiotemporally encoded (SPEN) magnetic resonance imaging (MRI) has a high robustness to field inhomogeneity and chemical shift effect. It has been broadened from single-slice scanning to multi-slice scanning. In this paper, a novel multi-slice SPEN MRI method was proposed. In this method, the slice-selective dimension was segmented to lower the specific absorption rate (SAR) and improve the image quality. This segmented method, dubbed SeSPEN method, was theoretically analyzed and demonstrated with phantom, lemon and in vivo rat brain experiments. The experimental results were compared with the results obtained from the spin-echo EPI, spin-echo SPEN method and multi-slice global SPEN method proposed by Frydman and coauthors (abbr. GlSPEN method). All the SPEN images were super-resolved reconstructed using deconvolution method. The results indicate that the SeSPEN method retains the advantage of SPEN MRI with respect to resistance to field inhomogeneity and can provide better signal-to-noise ratio than multi-slice GlSPEN MRI technique. The SeSPEN method has comparable SAR to the GlSPEN method while the T1 signal attenuation effect is alleviated. The proposed method will facilitate the multi-slice SPEN MRI to scan more slices within one scan with better image quality.
Persistent Identifierhttp://hdl.handle.net/10722/327942
ISSN
2023 Impact Factor: 2.0
2023 SCImago Journal Rankings: 0.593
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, Ting-
dc.contributor.authorChen, Lin-
dc.contributor.authorHuang, Jianpan-
dc.contributor.authorLi, Jing-
dc.contributor.authorCai, Shuhui-
dc.contributor.authorCai, Congbo-
dc.contributor.authorChen, Zhong-
dc.date.accessioned2023-06-05T06:52:49Z-
dc.date.available2023-06-05T06:52:49Z-
dc.date.issued2016-
dc.identifier.citationJournal of Magnetic Resonance, 2016, v. 269, p. 138-145-
dc.identifier.issn1090-7807-
dc.identifier.urihttp://hdl.handle.net/10722/327942-
dc.description.abstractAs a recently emerging method, spatiotemporally encoded (SPEN) magnetic resonance imaging (MRI) has a high robustness to field inhomogeneity and chemical shift effect. It has been broadened from single-slice scanning to multi-slice scanning. In this paper, a novel multi-slice SPEN MRI method was proposed. In this method, the slice-selective dimension was segmented to lower the specific absorption rate (SAR) and improve the image quality. This segmented method, dubbed SeSPEN method, was theoretically analyzed and demonstrated with phantom, lemon and in vivo rat brain experiments. The experimental results were compared with the results obtained from the spin-echo EPI, spin-echo SPEN method and multi-slice global SPEN method proposed by Frydman and coauthors (abbr. GlSPEN method). All the SPEN images were super-resolved reconstructed using deconvolution method. The results indicate that the SeSPEN method retains the advantage of SPEN MRI with respect to resistance to field inhomogeneity and can provide better signal-to-noise ratio than multi-slice GlSPEN MRI technique. The SeSPEN method has comparable SAR to the GlSPEN method while the T1 signal attenuation effect is alleviated. The proposed method will facilitate the multi-slice SPEN MRI to scan more slices within one scan with better image quality.-
dc.languageeng-
dc.relation.ispartofJournal of Magnetic Resonance-
dc.subjectMulti-slice MRI-
dc.subjectSegmented slice selection-
dc.subjectSpatiotemporal encoding-
dc.titleUltrafast multi-slice spatiotemporally encoded MRI with slice-selective dimension segmented-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jmr.2016.06.002-
dc.identifier.pmid27301072-
dc.identifier.scopuseid_2-s2.0-84973882664-
dc.identifier.volume269-
dc.identifier.spage138-
dc.identifier.epage145-
dc.identifier.eissn1096-0856-
dc.identifier.isiWOS:000381239900016-

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