• DocumentCode
    2358983
  • Title

    Semi-automatic enhancement of atrial models to include atrial architecture and patient specific data: For biophysical simulations

  • Author

    Hermosillo, BD Flores

  • Author_Institution
    Dept. of Comput. Sci., Hull Univ., Kingston upon Hull
  • fYear
    2008
  • fDate
    14-17 Sept. 2008
  • Firstpage
    633
  • Lastpage
    636
  • Abstract
    Despite its large influence on biophysical simulations, the underlying anatomical representation is often oversimplified. The need for mode detailed anatomical models has been identified by numerous authors. An atrial model including macro and microscopic muscle architecture would help improve the correlation between real and virtual ECGs. In addition it provides a mean to de-couple the simulation domains (anatomy and physiology). A tool developed to create such models is presented. It readily allows fine-tuning factors such as: connectivity, discontinuity, fiber orientation, muscle architecture, and heterogeneities. The algorithms that speed up the conversion of a 3D heart mesh in raw format, into a detailed model of the atria are explained. As a result, patient-specific models are brought one step closer.
  • Keywords
    biology computing; electrocardiography; medical signal processing; mesh generation; muscle; 3D heart mesh; anatomical models; atrial architecture; atrial models; biophysical simulations; connectivity; discontinuity; fiber orientation; fine-tuning factors; heterogeneity; macroscopic muscle; microscopic muscle architecture; patient specific data; semiautomatic enhancement; virtual ECGs; Aggregates; Anatomy; Biological system modeling; Electrocardiography; Geometry; Heart; Magnetic resonance imaging; Mathematical model; Microscopy; Muscles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2008
  • Conference_Location
    Bologna
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4244-3706-1
  • Type

    conf

  • DOI
    10.1109/CIC.2008.4749121
  • Filename
    4749121