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Background and mathematical analysis of diffusion MRI methods

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dc.contributor.authorOezcan, Alpay-
dc.contributor.authorWong, Kenneth H.-
dc.contributor.authorLarson-Prior, Linda-
dc.contributor.authorCho, Zang-Hee-
dc.contributor.authorMun, Seong K.-
dc.date.available2020-02-29T06:45:06Z-
dc.date.created2020-02-05-
dc.date.issued2012-03-
dc.identifier.issn0899-9457-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/16561-
dc.description.abstractThe addition of a pair of magnetic field gradient pulses had initially enabled the measurement of spin motion to nuclear magnetic resonance (NMR) experiments. In the adaptation of diffusion weighted (DW)-NMR techniques to magnetic resonance imaging (MRI), the taxonomy of mathematical models is divided in two categories: model matching and spectral methods. In this review, the methods are summarized starting from early DW NMR models followed up with their adaptation to DW MRI. Finally, a newly introduced Fourier analysis based unifying theory, so-called Complete Fourier Direct MRI, is included to explain the mechanisms of existing methods. (c) 2012 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 22, 4452, 2012-
dc.language영어-
dc.language.isoen-
dc.publisherWILEY-BLACKWELL-
dc.relation.isPartOfINTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY-
dc.subjectWEIGHTED MRI-
dc.subjectHUMAN BRAIN-
dc.subjectPROSTATE-CANCER-
dc.subjectWATER DIFFUSION-
dc.subjectSELF-DIFFUSION-
dc.subjectMOUSE MODEL-
dc.subjectSPIN-ECHO-
dc.subjectTENSOR-
dc.subjectORIENTATION-
dc.subjectRESOLUTION-
dc.titleBackground and mathematical analysis of diffusion MRI methods-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000300505200007-
dc.identifier.doi10.1002/ima.22001-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, v.22, no.1, pp.44 - 52-
dc.identifier.scopusid2-s2.0-84857211578-
dc.citation.endPage52-
dc.citation.startPage44-
dc.citation.titleINTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY-
dc.citation.volume22-
dc.citation.number1-
dc.contributor.affiliatedAuthorCho, Zang-Hee-
dc.type.docTypeArticle-
dc.subject.keywordAuthornuclear magnetic resonance-
dc.subject.keywordAuthormagnetic resonance imaging-
dc.subject.keywordAuthordiffusion-
dc.subject.keywordAuthordiffusion weighted imaging-
dc.subject.keywordAuthorFourier transform-
dc.subject.keywordPlusWEIGHTED MRI-
dc.subject.keywordPlusHUMAN BRAIN-
dc.subject.keywordPlusPROSTATE-CANCER-
dc.subject.keywordPlusWATER DIFFUSION-
dc.subject.keywordPlusSELF-DIFFUSION-
dc.subject.keywordPlusMOUSE MODEL-
dc.subject.keywordPlusSPIN-ECHO-
dc.subject.keywordPlusTENSOR-
dc.subject.keywordPlusORIENTATION-
dc.subject.keywordPlusRESOLUTION-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaOptics-
dc.relation.journalResearchAreaImaging Science & Photographic Technology-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryOptics-
dc.relation.journalWebOfScienceCategoryImaging Science & Photographic Technology-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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