Mason Archival Repository Service

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

Show simple item record

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


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search MARS


Browse

My Account

Statistics