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Xiao Yun Xu

Chemical Engineering, Imperial College London, London, — Select One — United Kingdom of Great Britain and Northern Ireland SW7 2AZ (e-mail: yun.xu@imperial.ac.uk)


Contributions

  • 4-D Flow MRI-Based Computational Analysis of Blood Flow in Patient-Specific Aortic Dissection

    This study presents a comprehensive computational methodology for the evaluation of hemodynamics in type B aortic dissection. It is based on fully patient-specific boundary conditions obtained from imaging, including computed tomography (CT) images and 4D flow magnetic resonance imaging, and pressure measurement. The paper describes in detail the developed workflow and its validation against pressure and flow measurements acquired in vivo. Having demonstrated a good overall agreement with in vivo data, the model was used to evaluate aortic flow after thoracic endovascular repair (TAVER), showing its potential in predicting post-TEVAR hemodynamics using boundary conditions derived from data acquired before TEVAR.

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