1. Post-processing 4D Flow MRI using Ensemble Kalman Filter
Ali Bakhshinejad

2. Objectives
To investigate the implementation of Ensemble Kalman Filter to merge patient specific Computational Fluid Dynamics (CFD) simulations and in-vivo time resolved phase-contrast magnetic resonance imaging (4D Flow MRI) data in order to provide accurate and high resolution blood flow velocity profiles.

3. 4D Flow MRI

4. Method

5. Results

6. Results
Figure: (a) Shows the location of the aneurysm inside the data block, (b) shows the path of particle movement in noisy data, and (c) shows the particle path in the reconstructed data.