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Abstract:
Cerebrovascular disorders represent one of the most
prevalent and devastating diseases. Our previous work has
demonstrated a proof of concept for the use of a specially developed
CFD software package ("HemeLB," which uses lattice-Boltzmann
methods) to model the flow of blood in Vascular Malformations
(VMs). HemeLB can provide the radiologist with estimates of flow
rates, pressures and shear stresses in the vascular structures,
permitting greater precision in the choice of therapeutic intervention,
reducing risk and the need for repeated procedures. The use of real
time visualisation and steering allows the clinician to visually
interpret the changes in pressure, flow etc, and modify parameters as
the simulation progresses, ultimately allowing the code to be used
interactively to conduct 'virtual' operations. This proposal aims to: 1)
automate CT image segmentation techniques for maximum clinical
benefit, and where needed to provide better segmentation methods;
2) enhance clinical decision making via sophisticated models of
cerebral blood flow based on patient-specific CT scans, and to
demonstrate the validity of the overall process of image-based
simulation including its practical usability in the clinical
environment; 3) port the HemeLB computational work to GPGPUs
and other novel architectures (FPGAs).
Team
: PI: Abbes Amira
Peter Coveny
CER2EBRAL - Computer Enabled Radiological Resource for
Blood flow Rates in Aneurysms using Lattice-Boltzmann
Department Research
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