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LONGITUDINAL LESION TRACKING IN MAGNETIC RESONANCE IMAGES

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dc.contributor.advisor Ikonomidou, Vasiliki N.
dc.contributor.author Kotari, Vikas
dc.creator Kotari, Vikas
dc.date.accessioned 2018-10-22T01:21:16Z
dc.date.available 2018-10-22T01:21:16Z
dc.date.issued 2017
dc.identifier.uri http://hdl.handle.net/1920/11303
dc.description.abstract T2- 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.extent 151 pages
dc.language.iso en
dc.rights Copyright 2017 Vikas Kotari
dc.subject Electrical engineering
dc.subject Medical imaging
dc.subject Neurosciences
dc.subject Image Segmentation
dc.subject Lesion Tracking
dc.subject Longitudinal Magnetic Resonance Images
dc.subject Medical Image Analysis
dc.subject Multiple Sclerosis
dc.subject Subtraction Imaging
dc.title LONGITUDINAL LESION TRACKING IN MAGNETIC RESONANCE IMAGES
dc.type Dissertation
thesis.degree.level Ph.D.
thesis.degree.discipline Electrical and Computer Engineering
thesis.degree.grantor George Mason University


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