• DocumentCode
    1772040
  • Title

    Patient-specific aortic valve blood flow simulations

  • Author

    Kulp, Scott ; Zhen Qian ; Vannan, Mani ; Rinehart, Sarah ; Metaxas, Dimitris

  • Author_Institution
    BIM Center, Rutgers Univ., Piscataway, NJ, USA
  • fYear
    2014
  • fDate
    April 29 2014-May 2 2014
  • Firstpage
    939
  • Lastpage
    942
  • Abstract
    In this paper, we present a novel framework to simulate and visualize blood flow at high levels of detail through the aortic valve. We generate a 4D reconstruction of the aortic root using contrast-enhanced CT imagery, and attach it to a model of the left ventricle segmented from the Visible Human Project dataset. This full R-R animated model is then used as solid boundary conditions in a highly-accurate FDM Navier-Stokes fluid solver. We perform this simulation on both healthy and diseased aortic hearts, and then build visualizations of the velocity and vorticity fields produced by the simulator. In our quantitative analysis of the flow, we find significantly elevated vorticities in the diseased valve simulation. These results produce a view of the flow fields clearer than previous imaging techniques can provide.
  • Keywords
    Navier-Stokes equations; cardiology; computerised tomography; diseases; flow simulation; flow visualisation; haemodynamics; image enhancement; image reconstruction; image segmentation; medical image processing; vortices; 4D reconstruction; FDM Navier-Stokes fluid solver; Visible Human Project dataset; aortic root; aortic valve; blood flow visualization; contrast-enhanced CT imagery; diseased aortic hearts; diseased valve simulation; full R-R animated model; left ventricle segmentation; patient-specific aortic valve blood flow simulations; solid boundary conditions; velocity fields; vorticity; vorticity fields; Blood; Computational modeling; Computed tomography; Data models; Heart; Mathematical model; Valves; Blood flow; CT; aortic valve;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ISBI.2014.6868026
  • Filename
    6868026