Super-resolution study of aneurism based on AI PIV - preliminary report

The paper presents the results of CFD blood flow simulations in a 3D model of the cerebral aneurism for different flow rates and compares them with values obtained with Particle Image Velocimetry (PIV) in a 3D experimental model under pulsatile flow conditions. CFD simulation was done using Ansys CFX software. For validation of the experiments, two different PIV methods were employed: traditional PIV based on cross correlation algorithms and Artificial Intelligence PIV (AI PIV) based on Deep Learning and Convolutional Neural Networks, which allowed for a much higher spatial resolution of the resulting velocity field. A 3D model of cerebral aneurism was developed based on specific patient CT data. The protocol of the study was approved by the Institutional Review Board at the Medical University of Silesia in Katowice and all procedures were carried out in accordance with the relevant guidelines and regulations. The morphometric parameters were taken from patient whose vessel fulfils the Murray's law. The preliminary obtained simulation results, showed that better correlation between CFD simulation and types of PIV analysis is for data of AI PIV than ones obtained with traditional PIV. There was observed increase in the value of the shear stress of the vessel walls with an increase in the flow rate. Analysis of the results were promising and showed that AI PIV could be used to get more accurate results.