Automated Quantification Of White Matter Hyperintensity Burden Using Mprage And Flair Images From A Large Population

dc.contributor.author	Hulsey, Keith McLeod	en_US
dc.date.accessioned	2009-09-16T18:20:03Z
dc.date.available	2009-09-16T18:20:03Z
dc.date.issued	2009-09-16T18:20:03Z
dc.date.submitted	January 2008	en_US
dc.identifier.other	DISS-10070	en_US
dc.identifier.uri	http://hdl.handle.net/10106/1816
dc.description.abstract	White Matter Hyperintensity(WMH) burden, as observed in T2 and proton weighted MR images, is associated with several health factors such as decreased cognitive ability, hypertension, diabetes and cerebrovascular disease. An algorithm was developed to automatically estimate WMH burden from pairs of MPRAGE and FLAIR images which is robust and requires essentially no operator involvement. The WMH burden estimation generated by this fully automated algorithm has been shown to correlate well with known risk factors for WMH burden.	en_US
dc.description.sponsorship	McColl, Roderick	en_US
dc.language.iso	EN	en_US
dc.publisher	Biomedical Engineering	en_US
dc.title	Automated Quantification Of White Matter Hyperintensity Burden Using Mprage And Flair Images From A Large Population	en_US
dc.type	M.S.	en_US
dc.contributor.committeeChair	McColl, Roderick	en_US
dc.degree.department	Biomedical Engineering	en_US
dc.degree.discipline	Biomedical Engineering	en_US
dc.degree.grantor	University of Texas at Arlington	en_US
dc.degree.level	masters	en_US
dc.degree.name	M.S.	en_US