Tomographic particle image velocimetry for the validation of hemodynamic simulations in an intracranial aneurysm.

Roloff, Christoph; Berg, Philipp; Redel, Thomas; Janiga, Gabor; Thevenin, Dominique

doi:10.1109/EMBC.2017.8037080

by Christoph Roloff, Philipp Berg, Thomas Redel, Gabor Janiga, Dominique Thevenin

Abstract:

Image-based blood flow simulations can provide detailed hemodynamic information in diseased vessels such as intracranial aneurysms. However, validation is essential to evaluate the accuracy of these computations and further improve their acceptance among physicians. In this regard, tomographic particle image velocimetry was used to measure the flow characteristics in a patient specific aneurysm phantom model. Additionally, computational fluid dynamics (CFD) simulations were carried out using a well accepted commercial software package and a clinical research prototype, respectively. The comparison between in-vitro measurement and in-silico computations reveals a good qualitative agreement. Further, computations based on classical CFD agreed well with results from a clinical research prototype. Hence, the results of this study demonstrate the usability of numerical methods to obtain realistic blood flow predictions in a clinical context.

Reference:

Tomographic particle image velocimetry for the validation of hemodynamic simulations in an intracranial aneurysm. (Christoph Roloff, Philipp Berg, Thomas Redel, Gabor Janiga, Dominique Thevenin), In Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, volume 2017, 2017.

Bibtex Entry:

@inproceedings{roloff_tomographic_2017,
	address = {Seogwipo, South Korea},
	title = {Tomographic particle image velocimetry for the validation of hemodynamic simulations in an intracranial aneurysm.},
	volume = {2017},
	doi = {10.1109/EMBC.2017.8037080},
	abstract = {Image-based blood flow simulations can provide detailed hemodynamic information in diseased vessels such as intracranial aneurysms. However, validation is essential to evaluate the accuracy of these computations and further improve their acceptance among physicians. In this regard, tomographic particle image velocimetry was used to measure the flow characteristics in a patient specific aneurysm phantom model. Additionally, computational fluid dynamics (CFD) simulations were carried out using a well accepted commercial software package and a clinical research prototype, respectively. The comparison between in-vitro measurement and in-silico computations reveals a good qualitative agreement. Further, computations based on classical CFD agreed well with results from a clinical research prototype. Hence, the results of this study demonstrate the usability of numerical methods to obtain realistic blood flow predictions in a clinical context.},
	language = {eng},
	booktitle = {Conference proceedings : {Annual} {International} {Conference} of the {IEEE} {Engineering} in {Medicine} and {Biology} {Society}. {IEEE} {Engineering} in {Medicine} and {Biology} {Society}. {Annual} {Conference}},
	author = {Roloff, Christoph and Berg, Philipp and Redel, Thomas and Janiga, Gabor and Thevenin, Dominique},
	month = jul,
	year = {2017},
	pmid = {29060124},
	keywords = {*Intracranial Aneurysm, Blood Flow Velocity, Cardiovascular, Cerebrovascular Circulation, Computer Simulation, hemodynamics, Humans, Hydrodynamics, Models, Rheology},
	pages = {1340--1343}
}