Implementation of anatomical navigators for real time motion correction in diffusion tensor imaging

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dc.contributor.advisorVan der Kouwe, Andreen_ZA
dc.contributor.advisorMeintjes, Ernestaen_ZA
dc.contributor.authorAlhamud, Alkathafi Alien_ZA
dc.date.accessioned2014-12-26T06:19:12Z
dc.date.available2014-12-26T06:19:12Z
dc.date.issued2012en_ZA
dc.descriptionIncludes bibliographical references.en_ZA
dc.description.abstractProspective motion correction methods using an optical system, diffusion-weighted prospective acquisition correction, or a free induction decay navigator have recently been applied to correct for motion in diffusion tensor imaging. These methods have some limitations and drawbacks. This article describes a novel technique using a three-dimensional-echo planar imaging navigator, of which the contrast is independent of the b-value, to perform prospective motion correction in diffusion weighted images, without having to reacquire volumes during which motion occurred, unless motion exceeded some preset thresholds. Water phantom and human brain data were acquired using the standard and navigated diffusion sequences, and the mean and whole brain histogram of the fractional anisotropy and mean diffusivity were analyzed.en_ZA
dc.identifier.apacitationAlhamud, A. A. (2012). <i>Implementation of anatomical navigators for real time motion correction in diffusion tensor imaging</i>. (Thesis). University of Cape Town ,Faculty of Health Sciences ,Department of Human Biology. Retrieved from http://hdl.handle.net/11427/10052en_ZA
dc.identifier.chicagocitationAlhamud, Alkathafi Ali. <i>"Implementation of anatomical navigators for real time motion correction in diffusion tensor imaging."</i> Thesis., University of Cape Town ,Faculty of Health Sciences ,Department of Human Biology, 2012. http://hdl.handle.net/11427/10052en_ZA
dc.identifier.citationAlhamud, A. 2012. Implementation of anatomical navigators for real time motion correction in diffusion tensor imaging. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Alhamud, Alkathafi Ali AB - Prospective motion correction methods using an optical system, diffusion-weighted prospective acquisition correction, or a free induction decay navigator have recently been applied to correct for motion in diffusion tensor imaging. These methods have some limitations and drawbacks. This article describes a novel technique using a three-dimensional-echo planar imaging navigator, of which the contrast is independent of the b-value, to perform prospective motion correction in diffusion weighted images, without having to reacquire volumes during which motion occurred, unless motion exceeded some preset thresholds. Water phantom and human brain data were acquired using the standard and navigated diffusion sequences, and the mean and whole brain histogram of the fractional anisotropy and mean diffusivity were analyzed. DA - 2012 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2012 T1 - Implementation of anatomical navigators for real time motion correction in diffusion tensor imaging TI - Implementation of anatomical navigators for real time motion correction in diffusion tensor imaging UR - http://hdl.handle.net/11427/10052 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/10052
dc.identifier.vancouvercitationAlhamud AA. Implementation of anatomical navigators for real time motion correction in diffusion tensor imaging. [Thesis]. University of Cape Town ,Faculty of Health Sciences ,Department of Human Biology, 2012 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/10052en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Human Biologyen_ZA
dc.publisher.facultyFaculty of Health Sciencesen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherHuman Biologyen_ZA
dc.titleImplementation of anatomical navigators for real time motion correction in diffusion tensor imagingen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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