MRI-Based Computational Hemodynamics in Patients

Andreas Ruopp () and Ralf Schneider ()
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Andreas Ruopp: University of Stuttgart, HLRS
Ralf Schneider: University of Stuttgart, HLRS

A chapter in Sustained Simulation Performance 2017, 2017, pp 165-178 from Springer

Abstract: Abstract The target of this research was to develop a simulation process chain for the analysis of arterial hemodynamics in patients with automatic calibration of all boundary conditions for the physiological correct treatment of flow rates in transient blood flows with multiple bifurcations. The developed methodology uses stationary simulations at peak systolic acceleration and minimizes the error of target and simulated outflow conditions by means of a parallel genetic optimization approach. The target inflow and outflow conditions at peak systole are extracted from 4D phase contrast magnetic resonance imaging (4D PC-MRI). The flow resistance of the arterial system lying downstream of the simulation domain’s outlets is modelled via porous media with velocity dependent loss coefficients. In the analysis of the subsequent transient simulations, it will be shown that the proposed calibration method shows to work suitable for three different types of patients including one healthy patient, a patient suffering from an aneurysm as well as one with a coarctation. Additionally the local effects of mapping the measured transient 4D PC-MRI data onto the aortic valve inlet in comparison to the usage of block inlet profiles will be shown.

Keywords: Phase-contrast Magnetic Resonance Imaging; Outflow Conditions; Process Chain Simulation; Virtual Clinical Trials; Target Flow Rate (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-66896-3_11

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DOI: 10.1007/978-3-319-66896-3_11

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