Hemodynamics in a giant intracranial aneurysm characterized by in vitro 4D flow MRI
2017-12-08
Loading...
Persistent link to this item
Statistics
View StatisticsCollection period
2016-06-17
2016-12-13
2016-12-13
Date completed
2017-12-05
Date updated
Time period coverage
Geographic coverage
Source information
Journal Title
Journal ISSN
Volume Title
Title
Hemodynamics in a giant intracranial aneurysm characterized by in vitro 4D flow MRI
Published Date
2017-12-08
Group
Author Contact
Coletti, Filippo
fcoletti@umn.edu
fcoletti@umn.edu
Type
Dataset
3D Imaging Data
Experimental Data
3D Imaging Data
Experimental Data
Abstract
Experimental and computational data suggest that hemodynamics play a critical role in the development, growth, and rupture of cerebral aneurysms. The flow structure, especially in aneurysms with a large sac, is highly complex and three-dimensional. Therefore, volumetric and time-resolved measurements of the flow properties are crucial to fully characterize the hemodynamics. In this study, phase-contrast Magnetic Resonance Imaging is used to assess the fluid dynamics inside a 3D-printed replica of a giant intracranial aneurysm, whose hemodynamics was previously simulated by multiple research groups. The physiological inflow waveform is imposed in a flow circuit with realistic cardiovascular impedance. Measurements are acquired with sub-millimeter spatial resolution for 16 time steps over a cardiac cycle, allowing for the detailed reconstruction of the flow evolution. Moreover, the three-dimensional and time-resolved pressure distribution is calculated from the velocity field by integrating the fluid dynamics equations, and is validated against differential pressure measurements using precision transducers. The flow structure is characterized by vortical motions that persist within the aneurysm sac for most of the cardiac cycle. All the main flow statistics including velocity, vorticity, pressure, and wall shear stress suggest that the flow pattern is dictated by the aneurysm morphology and is largely independent of the pulsatility of the inflow, at least for the flow regimes investigated here. Comparisons are carried out with previous computational simulations that used the same geometry and inflow conditions, both in terms of cycle-averaged and systolic quantities.
Description
The attached file "giant_ane_velocity_pressure_public_release.tar.gz" contains the processed data for the associated paper.
Referenced by
Amili, O., Schiavazzi, D., Moen, S., Jagadeesan, B., Vande Moortele, P-F., & Coletti, F. (2018). Hemodynamics in a giant intracranial aneurysm characterized by in vitro 4D flow MRI. PLoS One, 13(1), e0188323.
https://doi.org/10.1371/journal.pone.0188323
https://doi.org/10.1371/journal.pone.0188323
Related to
Replaces
License
Publisher
Collections
Funding information
Winston and Maxine Wallin Neuroscience Discovery Fund
item.page.sponsorshipfunderid
item.page.sponsorshipfundingagency
item.page.sponsorshipgrant
Previously Published Citation
Suggested citation
Amili, Omid; Schiavazzi, Daniele; Moen, Sean; Jagadeesan, Bharathi; Van de Moortele, Pierre-François; Coletti, Filippo. (2017). Hemodynamics in a giant intracranial aneurysm characterized by in vitro 4D flow MRI. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/D6WX0S.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.