Quantitative MR cerebral blood flow using autoregressive and moving average (ARMA)-based deconvolution technique

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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.descriptionBibliography: p. 154-163en
dc.format.extentxviii, 163 leaves : ill. ; 30 cm.en
dc.identifier.citationLu, H. (2002). Quantitative MR cerebral blood flow using autoregressive and moving average (ARMA)-based deconvolution technique (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/15051en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/15051
dc.identifier.isbn0612873366en
dc.identifier.lccAC1 .T484 2002 L8en
dc.identifier.urihttp://hdl.handle.net/1880/42599
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
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
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.thesis.accessionTheses Collection 58.002:Box 1387 501888780
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
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