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dc.contributor.advisorZivadinov, R.
dc.contributor.advisorBeggs, Clive B.
dc.contributor.authorDwyer, Michael G.*
dc.date.accessioned2014-05-01T16:30:25Z
dc.date.available2014-05-01T16:30:25Z
dc.date.issued2014-05-01
dc.identifier.urihttp://hdl.handle.net/10454/6298
dc.description.abstractNAen_US
dc.language.isoenen_US
dc.rights<a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>.eng
dc.subjectMagnetic resonance imaging (MRI)en_US
dc.subjectQuantitative analysisen_US
dc.subjectImage processingen_US
dc.subjectStatistical modellingen_US
dc.subjectMultiple Sclerosis (MS)en_US
dc.subjectNeurodegenerationen_US
dc.subjectAtrophyen_US
dc.subjectLesion identificationen_US
dc.subjectTissue-specific atrophyen_US
dc.subjectOptic nerve atrophyen_US
dc.subjectMyelin changesen_US
dc.subjectIron in brain structuresen_US
dc.titleDevelopment and application of novel algorithms for quantitative analysis of magnetic resonance imaging in multiple sclerosis.en_US
dc.type.qualificationleveldoctoralen_US
dc.publisher.institutionUniversity of Bradfordeng
dc.publisher.departmentSchool of Engineering Design and Technologyen_US
dc.typeThesiseng
dc.type.qualificationnamePhDen_US
dc.date.awarded2013
refterms.dateFOA2018-07-19T13:08:54Z


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