Description
These datasets were originally published as one large dataset, which is still available below. The same data are also available in sections (CFD, MRI, and STB) for easier downloading.
The data provided in this publication was used to evaluate parameters including wall shear stress (WSS), oscillatory shear index (OSI), and relative residence times (RRT) across multiple modalities and two patient-specific aneurysm geometries. Specifically, the assumptions and limitations of each modality coupled with the varying and often low spatial resolution and their subsequent effect on the hemodynamic metrics was explored. The results of this study demonstrated that non-dimensional parameters, such as OSI, were more robust to varying modalities and spatial resolutions and thus may provide more robust risk or growth and rupture assessments. These results demonstrate a need for further investigation and development of non-dimensional parameters and correlation of such parameters to risk of aneurysm.
Additionally, the pulsatile particle velocimetry results provided here can be used as robust validation test cases for computational fluid dynamics (CFD) solvers.
These data files were created using Matlab 2016.
Content List
Data from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models, processed using Shake the Box (STB). Associated in vivo MRI and CFD datasets are also provided.
In silico CFD dataset from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models.
In vivo MRI dataset from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models.
In vitro STB dataset from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models.
Cite this work
Researchers should cite this work as follows:
- Brindise, M.; Rothenberger, S. M.; Dickerhoff, B.; Schnell, S.; Markl, M.; Saloner, D.; Rayz, V.; Vlachos, P. (2019). In vitro CFD, MRI, STB Series. Purdue University Research Repository. doi:10.4231/ZP8A-2G12