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Article: Super-resolved water/fat image reconstruction based on single-shot spatiotemporally encoded MRI

TitleSuper-resolved water/fat image reconstruction based on single-shot spatiotemporally encoded MRI
Authors
KeywordsMagnetic resonance imaging
Prior knowledge
Single-shot spatiotemporal encoding
Super-resolved reconstruction
Water/fat separation
Issue Date2020
Citation
Journal of Magnetic Resonance, 2020, v. 314, article no. 106736 How to Cite?
AbstractSingle-shot spatiotemporally encoded (SPEN) MRI has been validated to possess considerable performance in both spatial and temporal resolution. Water/fat separation is essential for MRI applications in which only water signal is needed. In this article, a super-resolved water/fat image reconstruction method (dubbed SWAF) combined prior knowledge was developed based on single-shot SPEN MRI. The point spread function of spatiotemporal encoding under multiple chemical shifts situation was derived and used for constructing an equation for SWAF image reconstruction. By processing the prior chemical shift information with filtering operation, an initial spin density profile of water/fat and a weighting matrix for water/fat residual artifacts suppression were obtained to guide the reconstruction process. A l1 norm minimization problem with regularization was exploited to reconstruct separated water/fat images with high spatial resolution and less residual/aliasing artifacts. Numeric simulation and experiments on water–oil phantom and rat abdomen/neck imaging demonstrated the effectiveness and robustness of this new method. The SWAF method proposed herein would promote the application of SPEN MRI in the cases where water/fat separation is required.
Persistent Identifierhttp://hdl.handle.net/10722/327985
ISSN
2023 Impact Factor: 2.0
2023 SCImago Journal Rankings: 0.593
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHuang, Jianpan-
dc.contributor.authorChen, Lin-
dc.contributor.authorChan, Kannie W.Y.-
dc.contributor.authorCai, Congbo-
dc.contributor.authorCai, Shuhui-
dc.contributor.authorChen, Zhong-
dc.date.accessioned2023-06-05T06:53:07Z-
dc.date.available2023-06-05T06:53:07Z-
dc.date.issued2020-
dc.identifier.citationJournal of Magnetic Resonance, 2020, v. 314, article no. 106736-
dc.identifier.issn1090-7807-
dc.identifier.urihttp://hdl.handle.net/10722/327985-
dc.description.abstractSingle-shot spatiotemporally encoded (SPEN) MRI has been validated to possess considerable performance in both spatial and temporal resolution. Water/fat separation is essential for MRI applications in which only water signal is needed. In this article, a super-resolved water/fat image reconstruction method (dubbed SWAF) combined prior knowledge was developed based on single-shot SPEN MRI. The point spread function of spatiotemporal encoding under multiple chemical shifts situation was derived and used for constructing an equation for SWAF image reconstruction. By processing the prior chemical shift information with filtering operation, an initial spin density profile of water/fat and a weighting matrix for water/fat residual artifacts suppression were obtained to guide the reconstruction process. A l1 norm minimization problem with regularization was exploited to reconstruct separated water/fat images with high spatial resolution and less residual/aliasing artifacts. Numeric simulation and experiments on water–oil phantom and rat abdomen/neck imaging demonstrated the effectiveness and robustness of this new method. The SWAF method proposed herein would promote the application of SPEN MRI in the cases where water/fat separation is required.-
dc.languageeng-
dc.relation.ispartofJournal of Magnetic Resonance-
dc.subjectMagnetic resonance imaging-
dc.subjectPrior knowledge-
dc.subjectSingle-shot spatiotemporal encoding-
dc.subjectSuper-resolved reconstruction-
dc.subjectWater/fat separation-
dc.titleSuper-resolved water/fat image reconstruction based on single-shot spatiotemporally encoded MRI-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jmr.2020.106736-
dc.identifier.pmid32361511-
dc.identifier.scopuseid_2-s2.0-85083814474-
dc.identifier.volume314-
dc.identifier.spagearticle no. 106736-
dc.identifier.epagearticle no. 106736-
dc.identifier.eissn1096-0856-
dc.identifier.isiWOS:000536535400008-

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