Hemodynamics of cerebral micro vasculature (original) (raw)

Computer Aided Chemical Engineering, 2012

Abstract

In this paper we present a novel technique for 3D micro capillary bed model reconstruction and computational fluid-dynamics (CFD) calculation to simulate morphological and blood perfusion parameters. Major arterial and venous cerebral blood vessels were reconstructed from scanning electron microscope (SEM) images and vessels whose diameters are beyond the resolution of modern imaging techniques were grown from this base structure using our novel directed interactive growth algorithm (DIGA). 3D voronoi networks were used to represent the microvasculature capillary network that joins arterial vessels to adjacent draining veins. The resulting network is morphologically accurate to in vivo measurements of the functional unit with accurate measurements of vessel density (3.17%) and surface area to tissue volume ratio (5.84%). Perfusion patterns of supply to the functional unit and systemic pressure drops match those expected in living tissue and indicate the model is a good candidate for exploring the hemodynamic phenomenon of autoregulation.

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