Using Digital Reconstructions, Morphometry, and Computational Models to Generate Novel Maps of Human Brain Vascular Architecture

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dc.contributor.advisorAscoli, Giorgio A.
dc.contributor.authorWright, Susan Nicole
dc.creatorWright, Susan Nicole
dc.date.accessioned2013-08-09T15:39:27Z
dc.date.available2013-08-09T15:39:27Z
dc.date.issued2013
dc.description.abstractMany non-invasive imaging techniques based upon hemodynamic responses of blood vessels have provided data for analysis of brain vasculature. However, these data lack the detail that could be ascertained by exploiting state-of-the-art neuroinformatics tools. A more complete and sufficiently detailed analysis of brain vascular architecture is critical for a wide variety of applications, including the development of models which may help predict or treat cerebrovascular disease.
dc.format.extent137 pages
dc.identifier.urihttps://hdl.handle.net/1920/8256
dc.language.isoen
dc.rightsCopyright 2013 Susan Nicole Wright
dc.subjectNeurosciences
dc.subjectBioinformatics
dc.subjectArteries
dc.subjectBrain
dc.subjectHuman
dc.subjectMorphometry
dc.subjectVascular
dc.titleUsing Digital Reconstructions, Morphometry, and Computational Models to Generate Novel Maps of Human Brain Vascular Architecture
dc.typeDissertation
thesis.degree.disciplineNeuroscience
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral

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