kommt noch

Achtung: Die Navigationslinks auf dieser Seite funktionieren nicht, weil das nicht der Rahmen ist, der zu diesem Skript gehört. Wenn das Skript ordnungsgemäß dort installiert ist, wo es später laufen soll, funktionieren auch die Links in der dortigen Umgebung.

LINUX Cluster Project

Computational Imaging of Cardiac Flow and Perfusion


  • Name: Universitätsklinikum Würzburg;Deutsches Zentrum für Herzinsuffizienz
  • Address: Am Schwarzenberg 15, 97078 Würzburg
  • Project Proposal Date: 2019-05-13 15:03:51


Scientific aims of the project are analysis and correction of systematic errors in dynamic contrast-enhanced magnetic resonance perfusion imaging. In this non-invasive method, the passage of intravenously injected contrast agent (CA) through tissue is monitored to quantify myocardial blood flow (MBF). This requires knowledge of CA wash-in through upstream epicardial vessels, the arterial input function (AIF). For technical reasons this cannot be quantified in the supplying vessels and is thus measured in the left ventricle (LV), which introduces risks of systematic errors in MBF quantification due to CA dispersion in coronary vessels. Purpose of the study is the investigation of the influence of ever smaller epicardial vessels on bolus disper-sion. With dedicated software, 3D vascular models are extracted from coronary imaging cryomicrotome data (resolution: 160 µm) and meshed with computational grids of predominantly hexahedral type. Following CFD-simulations are performed in two steps with Software OpenFOAM. First Navier-Stokes-equations for non-Newtonian blood flow are solved for one cardiac cycle. Subsequently resulting physical fields describing blood flow are used to compute the advection-diffusion-equation for CA transport over several cardiac cycles. At the model inlet the measured AIFLV is applied as boundary condition and resulting dispersed AIFdisp at model outlets are used to assess errors in MBF quantification using an appropriate blood-tissue exchange model.