Background and mathematical analysis of diffusion MRI methods
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Oezcan, Alpay | - |
dc.contributor.author | Wong, Kenneth H. | - |
dc.contributor.author | Larson-Prior, Linda | - |
dc.contributor.author | Cho, Zang-Hee | - |
dc.contributor.author | Mun, Seong K. | - |
dc.date.available | 2020-02-29T06:45:06Z | - |
dc.date.created | 2020-02-05 | - |
dc.date.issued | 2012-03 | - |
dc.identifier.issn | 0899-9457 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/16561 | - |
dc.description.abstract | The 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.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | WILEY-BLACKWELL | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY | - |
dc.subject | WEIGHTED MRI | - |
dc.subject | HUMAN BRAIN | - |
dc.subject | PROSTATE-CANCER | - |
dc.subject | WATER DIFFUSION | - |
dc.subject | SELF-DIFFUSION | - |
dc.subject | MOUSE MODEL | - |
dc.subject | SPIN-ECHO | - |
dc.subject | TENSOR | - |
dc.subject | ORIENTATION | - |
dc.subject | RESOLUTION | - |
dc.title | Background and mathematical analysis of diffusion MRI methods | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000300505200007 | - |
dc.identifier.doi | 10.1002/ima.22001 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, v.22, no.1, pp.44 - 52 | - |
dc.identifier.scopusid | 2-s2.0-84857211578 | - |
dc.citation.endPage | 52 | - |
dc.citation.startPage | 44 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY | - |
dc.citation.volume | 22 | - |
dc.citation.number | 1 | - |
dc.contributor.affiliatedAuthor | Cho, Zang-Hee | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | nuclear magnetic resonance | - |
dc.subject.keywordAuthor | magnetic resonance imaging | - |
dc.subject.keywordAuthor | diffusion | - |
dc.subject.keywordAuthor | diffusion weighted imaging | - |
dc.subject.keywordAuthor | Fourier transform | - |
dc.subject.keywordPlus | WEIGHTED MRI | - |
dc.subject.keywordPlus | HUMAN BRAIN | - |
dc.subject.keywordPlus | PROSTATE-CANCER | - |
dc.subject.keywordPlus | WATER DIFFUSION | - |
dc.subject.keywordPlus | SELF-DIFFUSION | - |
dc.subject.keywordPlus | MOUSE MODEL | - |
dc.subject.keywordPlus | SPIN-ECHO | - |
dc.subject.keywordPlus | TENSOR | - |
dc.subject.keywordPlus | ORIENTATION | - |
dc.subject.keywordPlus | RESOLUTION | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Optics | - |
dc.relation.journalResearchArea | Imaging Science & Photographic Technology | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Optics | - |
dc.relation.journalWebOfScienceCategory | Imaging Science & Photographic Technology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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