Towards patient-individual blood flow simulations based on PC-MRI measurements
Computational haemodynamics based on CT or MRI tomographic scans of individual patient vessel anatomy can be a valuable tool for therapy decision in cardiovascular and cerebrovascular diseases. Current approaches are promising, but still suffer from complex model generation, poor knowledge of haemodynamical parameters and high computational costs. We present a new approach of constructing patient-individual flow models that is based on additional knowledge from 4D PC- MRI data, and on the Lattice- Boltzmann method (LBM) as an alternative flow solver.
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