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dc.contributor.advisorSmith, Michael Richard
dc.contributor.authorLu, Hong
dc.date.accessioned2005-08-19T20:55:24Z
dc.date.available2005-08-19T20:55:24Z
dc.date.issued2002
dc.identifier.citationLu, H. (2002). Quantitative MR cerebral blood flow using autoregressive and moving average (ARMA)-based deconvolution technique (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/15051en_US
dc.identifier.isbn0612873366en
dc.identifier.urihttp://hdl.handle.net/1880/42599
dc.descriptionBibliography: p. 154-163en
dc.format.extentxviii, 163 leaves : ill. ; 30 cm.en
dc.language.isoeng
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subject.lccAC1 .T484 2002 L8en
dc.titleQuantitative MR cerebral blood flow using autoregressive and moving average (ARMA)-based deconvolution technique
dc.typemaster thesis
dc.publisher.institutionUniversity of Calgaryen
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/15051
thesis.degree.nameMaster of Science
thesis.degree.nameMS
thesis.degree.nameMSc
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
dc.identifier.lccAC1 .T484 2002 L8en
dc.publisher.placeCalgaryen
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
ucalgary.thesis.accessionTheses Collection 58.002:Box 1387 501888780


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University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.