Post-Processing of Data Gathered Using Tomographic Particle Image Velocimetry on a Phantom of an Intracranial Aneurysm
Hemo-dynamic Quantaties: Wall Shear Stress, Time Averaged WSS, Oscillating shear index and the Transverse WSS
D.P. Portheine (TU Delft - Applied Sciences)
S. Kenjeres – Mentor (TU Delft - ChemE/Transport Phenomena)
X. Wu – Mentor (TU Delft - ChemE/Transport Phenomena)
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Abstract
The third biggest cause of death in the western world is the stroke which is often caused by an aneurysm. Recent literature proposes the Wall Shear Stress (WSS), the Time-Averaged Wall Shear Stress (TAWSS), the Oscillatory Shear Index (OSI) and the Transverse WSS (Trans-WSS) as possible factors influencing the initiation, growth and rupture of intracranial aneurysms (IA). Currently, scientist and doctors are still in disagree on the biggest factors of rupture of an IA. In this research project, Tomographic Particle Image Velocimetry (TPIV) is used to acquire data to calculate these before mentioned hemodynamic quantities. The experiment captured 2040 images during one simulated cardiac cycle in a phantom reflecting an IA. To obtain the WSS, TAWSS, OSI and Trans-WSS on the wall of the phantom these images were post-processed using Davis, Tecplot and Python. The hemodynamic quantities are successfully calculated and visualized on 3D models of the aneurysm. An accurate result for these hemodynamic quantities was achieved when using a minimum of 51 images evenly spread out during a cardiac cycle. In cases without time constraints, it is still recommended to use as many images as possible to account for local WSS fluctuations. In further research the data structure in DaVis should be altered to a constant Cartesian coordinate structure for every dataset of the phantom. This will remove the biggest error and will greatly increase the value of this thesis and the analysis of these quantities.