• DocumentCode
    2091751
  • Title

    Medical image-based analysis of flow in heart with congenital heart disease: Numerical simulation of intraventricular flow

  • Author

    Chen, Lijun ; Liu, Jinlong ; Hong, Haifa ; Sun, Aimin ; Liu, Jinfen ; Zhang, Yuqi ; Umezu, Mitsuo

  • Author_Institution
    Department of Pediatric Cardiology, Shanghai Children´s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • fYear
    2015
  • fDate
    May 31 2015-June 3 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Quantitatively analyze the characteristics of intraventricular flow is critical for the diagnosis of congenital heart disease (CHD). Although several techniques are applied in clinic currently, the information which they provided is not satisfied with the requirement of the therapies of CHD. Here, we introduced the method of computational fluid dynamics (CFD) to investigate the intraventricular hemodynamics using a reconstructed model of left ventricle (LV) based on cardiac magnetic resonance (CMR) images. A large, counterclockwise, vortex was observed. It persisted in the periods of slow filling phase and atrial contraction phase in diastole. A smaller vortex was found around the outflow tract. An annular vortex is formed in the base region downstream of the mitral orifice. The vortices vanished quickly at the end-diastole. These results indicate the technique of CFD is a promising tool which can be used to evaluate the hemodynamics in LV. Understanding the characteristics of intraventricular flow is helpful for the improvement of CHD.
  • Keywords
    Analytical models; Blood flow; Computational fluid dynamics; Filling; Heart; Mathematical model; Solid modeling; computational fluid dynamics; congenital heart disease; hemodynamics; intraventricular flow; left ventricle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2015 10th Asian
  • Conference_Location
    Kota Kinabalu, Malaysia
  • Type

    conf

  • DOI
    10.1109/ASCC.2015.7244764
  • Filename
    7244764