by Franziska Gaidzik, Sahani Pathiraja, Sylvia Saalfeld, Daniel Stucht, Oliver Speck, Dominique Thévenin, Gábor Janiga
Abstract:
The anatomy of the circle of Willis (CoW), the brain’s main arterial blood supply system, strongly differs between individuals, resulting in highly variable flow fields and intracranial vascularization patterns. To predict subject-specific hemodynamics with high certainty, we propose a data assimilation (DA) approach that merges fully 4D phase-contrast magnetic resonance imaging (PC-MRI) data with a numerical model in the form of computational fluid dynamics (CFD) simulations.
Reference:
Hemodynamic Data Assimilation in a Subject-specific Circle of Willis Geometry (Franziska Gaidzik, Sahani Pathiraja, Sylvia Saalfeld, Daniel Stucht, Oliver Speck, Dominique Thévenin, Gábor Janiga), In Clinical Neuroradiology, 2020.
Bibtex Entry:
@article{gaidzik_hemodynamic_2020,
title = {Hemodynamic {Data} {Assimilation} in a {Subject}-specific {Circle} of {Willis} {Geometry}},
issn = {1869-1447},
url = {https://doi.org/10.1007/s00062-020-00959-2},
doi = {10.1007/s00062-020-00959-2},
abstract = {The anatomy of the circle of Willis (CoW), the brain’s main arterial blood supply system, strongly differs between individuals, resulting in highly variable flow fields and intracranial vascularization patterns. To predict subject-specific hemodynamics with high certainty, we propose a data assimilation (DA) approach that merges fully 4D phase-contrast magnetic resonance imaging (PC-MRI) data with a numerical model in the form of computational fluid dynamics (CFD) simulations.},
journal = {Clinical Neuroradiology},
author = {Gaidzik, Franziska and Pathiraja, Sahani and Saalfeld, Sylvia and Stucht, Daniel and Speck, Oliver and Thévenin, Dominique and Janiga, Gábor},
month = sep,
year = {2020}
}