Deriving novel micro biomechanical indices based on clinical imaging and computational simulation data and analysis using machine learning for assessment of cerebrovascular and cognitive health
The objectives of this project proposal are to develop computational tools to assess the cerebrovascular health and early detection of cognitive diseases. Furthermore, the prognosis of the disease after the diagnosis is another objective of this proposal. To achieve the objectives, imaging modalities and simulation tools will be used together. Data from magnetic resonance imaging (MRI)/computer tomography (CT)/ultrasound (US) will be interpreted to obtain information about the tissue and flow and geometry. Computational simulation tools will be used generate detailed hemodynamic data and derive abstract indices. All these indices and imaging data will be combined to correlate them to the disease characteristics.
The objectives of this project proposal are to develop computational tools to assess the cerebrovascular health and early detection of cognitive diseases. Furthermore, the prognosis of the disease after the diagnosis is another objective of this proposal. To achieve the objectives, imaging modalities and simulation tools will be used together. Data from magnetic resonance imaging (MRI)/computer tomography (CT)/ultrasound (US) will be interpreted to obtain information about the tissue and flow and geometry. Computational simulation tools will be used generate detailed hemodynamic data and derive abstract indices. All these indices and imaging data will be combined to correlate them to the disease characteristics.

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