Analysis and Algorithmic Generation of Hepatic Vascular Systems
Joint Authors
Schwen, Lars Ole
Preusser, Tobias
Source
International Journal of Hepatology
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-26
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
A proper geometric model of the vascular systems in the liver is crucial for modeling blood flow, the connection between the organ and the rest of the organism.
In vivo imaging does not provide sufficient details, so an algorithmic concept for extending measured vascular tree data is needed such that geometrically realistic structures can be generated.
We develop a quantification of similarity in terms of different geometric features.
This involves topological Strahler ordering of the vascular trees, statistical testing, and averaging.
Invariant features are identified in human clinical in vivo CT scans.
Results of the existing “Constrained Constructive Optimization” algorithm are compared to real vascular tree data.
To improve bifurcation angles in the algorithmic results, we implement a postprocessing step calibrated to the measured features.
This framework is finally applied to generate realistic additional details in a patient-specific hepatic vascular tree data set.
American Psychological Association (APA)
Schwen, Lars Ole& Preusser, Tobias. 2012. Analysis and Algorithmic Generation of Hepatic Vascular Systems. International Journal of Hepatology،Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-465544
Modern Language Association (MLA)
Schwen, Lars Ole& Preusser, Tobias. Analysis and Algorithmic Generation of Hepatic Vascular Systems. International Journal of Hepatology No. 2012 (2012), pp.1-17.
https://search.emarefa.net/detail/BIM-465544
American Medical Association (AMA)
Schwen, Lars Ole& Preusser, Tobias. Analysis and Algorithmic Generation of Hepatic Vascular Systems. International Journal of Hepatology. 2012. Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-465544
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-465544