LONGITUDINAL LESION TRACKING IN MAGNETIC RESONANCE IMAGES

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dc.contributor.advisorIkonomidou, Vasiliki N.
dc.contributor.authorKotari, Vikas
dc.creatorKotari, Vikas
dc.date.accessioned2018-10-22T01:21:16Z
dc.date.available2018-10-22T01:21:16Z
dc.date.issued2017
dc.description.abstractT2- lesion volume on magnetic resonance images is one of the surrogate markers that is routinely used for monitoring Multiple Sclerosis disease progression. Studies suggest that in addition to T2-lesion volume, individual lesion dynamics convey valuable information in monitoring disease modifying therapy. These lesion dynamics can predict conversion to permanent tissue damage, which can potentially improve repair capacity. Currently, lesion volume is delineated manually, which is subject to large inter-rater and intra-rater variability. Furthermore, manual techniques can be expensive and time consuming.
dc.format.extent151 pages
dc.identifier.urihttps://hdl.handle.net/1920/11303
dc.language.isoen
dc.rightsCopyright 2017 Vikas Kotari
dc.subjectElectrical engineering
dc.subjectMedical imaging
dc.subjectNeurosciences
dc.subjectImage Segmentation
dc.subjectLesion Tracking
dc.subjectLongitudinal Magnetic Resonance Images
dc.subjectMedical Image Analysis
dc.subjectMultiple Sclerosis
dc.subjectSubtraction Imaging
dc.titleLONGITUDINAL LESION TRACKING IN MAGNETIC RESONANCE IMAGES
dc.typeDissertation
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorGeorge Mason University
thesis.degree.levelPh.D.

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