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11 Diagnosis patient-specific flow simulation and advanced vessel wall analysis
The nearly epidemic expansion of cardiovascular diseases in westernized
societies along with the continuous increase of life expectancy rates pose a
serious threat to public health and generate the need for novel and more
efficient methods of treatment and diagnosis. The basic motivation for
developing sophisticated imaging, simulation and instrumentation techniques for
the investigation of the vascular hemodynamics of patients lies on the
unprecedented capacity of such integrated tools for predictive diagnostics and
simulation based pre-operative planning. The applications for such tools
encompass the aorta and coronary arteries which are susceptible to the more
widespread vascular diseases, such as abdominal aneurysms and atherosclerosis,
respectively. There are three confocal axes upon which we propose to structure
our investigations into advanced, non- and/or minimally invasive technologies,
namely, modern non-invasive cardiovascular imaging and segmentation, patient
specific computational hemodynamics and clinical integration. The ultimate goal
of this project is the realisation of an intelligent as well as integrated
toolset that significantly advances the state of the art in all three
abovementioned scientific areas and utilises the full potential of current
computational abilities to the aid of current clinical practice and the benefit
of patients.
Sub Projects
The aim of our initial clinical studies is the assessment of the optimal acquisition and reconstruction techniques for artery imaging using the Multi-Detector Computed Tomography (MDCT) in comparison with current catheter angiography.
This portion of the project encompasses an effort specifically in the
Computational Fluid Dynamics (CFD) area for the advancement of the current
technology used for the numerical simulation of hemodynamics in the large
arteries.
The purpose of this research project is the development of an automatic
detection and analysis tool for both lipid and calcified plaques within the
coronary arteries in MSCT datasets. Besides the extraction of the exact
location, the morphology of the atherosclerosis is examined to provide
detailed information for the physician to support his diagnosis.
Project Coordination
Last update on 2009-05-19.
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