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Dynamic hyperpolarized C-13 MR spectroscopic imaging using SPICE in mouse kidney at 9.4 T

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dc.contributor.authorSong, Jae Eun-
dc.contributor.authorShin, Jaewook-
dc.contributor.authorLee, Hansol-
dc.contributor.authorChoi, Young-Suk-
dc.contributor.authorSong, Ho-Taek-
dc.contributor.authorKim, Dong-Hyun-
dc.date.accessioned2020-04-13T16:50:37Z-
dc.date.available2020-04-13T16:50:37Z-
dc.date.created2021-03-18-
dc.date.issued2020-03-
dc.identifier.issn0952-3480-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/175533-
dc.description.abstractThis study aims to investigate the feasibility of dynamic hyperpolarized C-13 MR spectroscopic imaging (MRSI) using the SPectroscopic Imaging by exploiting spatiospectral CorrElation (SPICE) technique and an estimation of the spatially resolved conversion constant rate (k(pl)). An acquisition scheme comprising a single training dataset and several imaging datasets was proposed considering hyperpolarized C-13 circumstances. The feasibility and advantage of the scheme were investigated in two parts: (a) consistency of spectral basis over time and (b) accuracy of the estimated k(pl). The simulations and in vivo experiments support accurate k(pl) estimation with consistent spectral bases. The proposed method was implemented in an enzyme phantom and via in vivo experiments. In the enzyme phantom experiments, spatially resolved homogeneous k(pl) maps were observed. In the in vivo experiments, normal diet (ND) mice and high-fat diet (HFD) mice had k(pl) (s(-1)) values of medullar (ND: 0.0119 +/- 0.0022, HFD: 0.0195 +/- 0.0005) and cortical (ND: 0.0148 +/- 0.0023, HFD: 0.0224 +/- 0.0054) regions which were higher than vascular (ND: 0.0087 +/- 0.0013, HFD: 0.0132 +/- 0.0050) regions. In particular, the k(pl) value in the medullar region exhibited a significant difference between the two diet groups. In summary, the feasibility of using modified SPICE for dynamic hyperpolarized C-13 MRSI was demonstrated via simulations and in vivo experiments. The consistency of spectral bases over time and the accuracy of the estimated k(pl) values validate the proposed acquisition scheme, which comprises only a single training dataset. The proposed method improved the spatial resolution of dynamic hyperpolarized C-13 MRSI, which could be used for k(pl) estimation using high signal-to-noise ratio spectral bases.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherWiley-
dc.relation.isPartOfNMR IN BIOMEDICINE-
dc.relation.isPartOfNMR IN BIOMEDICINE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleDynamic hyperpolarized C-13 MR spectroscopic imaging using SPICE in mouse kidney at 9.4 T-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorSong, Jae Eun-
dc.contributor.googleauthorShin, Jaewook-
dc.contributor.googleauthorLee, Hansol-
dc.contributor.googleauthorChoi, Young-Suk-
dc.contributor.googleauthorSong, Ho-Taek-
dc.contributor.googleauthorKim, Dong-Hyun-
dc.identifier.doi10.1002/nbm.4230-
dc.relation.journalcodeJ02376-
dc.identifier.eissn1099-1492-
dc.identifier.pmid31856426-
dc.subject.keyworddynamic magnetic resonance spectroscopic imaging-
dc.subject.keywordhyperpolarized C-13-
dc.subject.keywordkidney imaging-
dc.subject.keywordlow-rank model-
dc.subject.keywordpartially separable function-
dc.subject.keywordSPectroscopic imaging by exploiting spatiospectral CorrElation-
dc.subject.keywordsubspace model-
dc.contributor.alternativeNameSong, Ho Taek-
dc.contributor.affiliatedAuthorSong, Ho-Taek-
dc.identifier.scopusid2-s2.0-85076726106-
dc.identifier.wosid000512580500008-
dc.citation.volume33-
dc.citation.number3-
dc.identifier.bibliographicCitationNMR IN BIOMEDICINE, Vol.33(3), 2020-03-
dc.identifier.rimsid68561-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.subject.keywordAuthordynamic magnetic resonance spectroscopic imaging-
dc.subject.keywordAuthorhyperpolarized C-13-
dc.subject.keywordAuthorkidney imaging-
dc.subject.keywordAuthorlow-rank model-
dc.subject.keywordAuthorpartially separable function-
dc.subject.keywordAuthorSPectroscopic imaging by exploiting spatiospectral CorrElation-
dc.subject.keywordAuthorsubspace model-
dc.subject.keywordPlusCONSTRAINED RECONSTRUCTION-
dc.subject.keywordPlusRENAL CHANGES-
dc.subject.keywordPlusIN-VIVO-
dc.subject.keywordPlusC-13-PYRUVATE-
dc.subject.keywordPlusACQUISITION-
dc.subject.keywordPlusMETABOLISM-
dc.subject.keywordPlusPYRUVATE-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryBiophysics-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalWebOfScienceCategorySpectroscopy-
dc.relation.journalResearchAreaBiophysics-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalResearchAreaSpectroscopy-
dc.identifier.articlenoe4230-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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