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A Queryable Graph Representation of Vascular Connectivity in the Whole Mouse Brain.
- Source :
-
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2019 Jul; Vol. 2019, pp. 256-260. - Publication Year :
- 2019
-
Abstract
- We construct a graph representation for the topology and geometry of the vasculature presenting across the whole mouse brain (dataset: Knife-Edge Scanning Microscope Brain Atlas India Ink). We use our graph representation to calculate preliminary estimates of the average radius as 4:8 μm, total vascular volume as 1:1000 mm <superscript>3</superscript> , total vascular surface area as 6:5511 cm <superscript>2</superscript> , and total vascular length of 2866:6567 cm. We then isolate a posterior cerebral region, derive its graph representation, and then import that representation to a Neo4j graph database. We then detail how researchers can query this database online to isolate specific vascular networks for further analysis and reconstruction.
- Subjects :
- Animals
Databases, Factual
Mice
Microscopy
Records
Brain
Subjects
Details
- Language :
- English
- ISSN :
- 2694-0604
- Volume :
- 2019
- Database :
- MEDLINE
- Journal :
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
- Publication Type :
- Academic Journal
- Accession number :
- 31945890
- Full Text :
- https://doi.org/10.1109/EMBC.2019.8857961