• DocumentCode
    2116420
  • Title

    Valvular closure prediction using anisotropic and hyperelastic tissue models and individualized anatomy derived from RT3DE

  • Author

    Sprouse, C. ; Mukherjee, Rohan ; Burlina, Philippe

  • Author_Institution
    Johns Hopkins Univ. Appl. Phys. Lab., Laurel, MD, USA
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    6632
  • Lastpage
    6635
  • Abstract
    We describe a method for modeling the closure of the Mitral Valve (MV) and to compute realistic strain and stresses in MV tissues. This informs preoperative planning by allowing a surgeon to evaluate various MV repairs options. The modeling method exploits individualized (patient-specific) anatomical structure recovered from real-time 3D echocardiography (RT3DE). This study utilizes hyperelastic models of the MV tissues and employs patient specific leaflets, chordal length assessment and annulus shapes. We report experiments on ten intraoperative test cases, where we compute strain and stresses using several different tissue models from MV empirical studies by May-Newman [1] and Holzapfel [2].
  • Keywords
    biological tissues; biomechanics; deformation; elasticity; electrocardiography; physiological models; stress effects; surgery; RT3DE; anisotropic tissue model; hyperelastic models; hyperelastic tissue model; individualized anatomy; mitral valve closure modeling; mitral valve repair options; mitral valve tissue strain; mitral valve tissue stress; patient specific anatomical structure; preoperative planning; real time 3D echocardiography; valvular closure prediction; Computational modeling; Heart; Predictive models; Strain; Stress; Surgery; Valves; Algorithms; Anisotropy; Computational Biology; Computer Simulation; Echocardiography, Three-Dimensional; Elasticity; Humans; Mitral Valve; Mitral Valve Insufficiency; Models, Cardiovascular; Models, Statistical; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6347515
  • Filename
    6347515