Using Digital Reconstructions, Morphometry, and Computational Models to Generate Novel Maps of Human Brain Vascular Architecture
dc.contributor.advisor | Ascoli, Giorgio A. | |
dc.contributor.author | Wright, Susan Nicole | |
dc.creator | Wright, Susan Nicole | |
dc.date.accessioned | 2013-08-09T15:39:27Z | |
dc.date.available | 2013-08-09T15:39:27Z | |
dc.date.issued | 2013 | |
dc.description.abstract | Many 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.extent | 137 pages | |
dc.identifier.uri | https://hdl.handle.net/1920/8256 | |
dc.identifier.uri | https://doi.org/10.13021/MARS/7282 | |
dc.language.iso | en | |
dc.rights | Copyright 2013 Susan Nicole Wright | |
dc.subject | Neurosciences | |
dc.subject | Bioinformatics | |
dc.subject | Arteries | |
dc.subject | Brain | |
dc.subject | Human | |
dc.subject | Morphometry | |
dc.subject | Vascular | |
dc.title | Using Digital Reconstructions, Morphometry, and Computational Models to Generate Novel Maps of Human Brain Vascular Architecture | |
dc.type | Dissertation | |
thesis.degree.discipline | Neuroscience | |
thesis.degree.grantor | George Mason University | |
thesis.degree.level | Doctoral |
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