• DocumentCode
    2124874
  • Title

    3D modeling and parameterization of the left ventricle in echocardiographic images using deformable superquadrics

  • Author

    Bosnjak, A. ; Burdin, V. ; Torrealba, V. ; Montilla, G. ; Solaiman, B. ; Roux, C.

  • Author_Institution
    Ecole Nat. Superieure des Telecommun. de Bretagne, Brest, France
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    101
  • Lastpage
    104
  • Abstract
    This paper proposes a new method for the quantitative analysis of the mobility of the left ventricle LV, based on a 3D dynamic model. One superquadric is used as the 3D global model. For data acquisition, an electromechanical device that allows acquiring the volume of images using 60 cross-sections in a rotational cylindrical 3D symmetry is adapted to an echograph. The images are filtered and later, they are segmented by a specialist. This processing provides images where the internal and external structures are already known. Finally, the 3D superquadrics model is used and we minimize the energy of the quadratic error using the method of descending gradient for several variables. We capture the geometrical and mathematical parameters when the model is adjusted to actual data. After, it is necessary to compute the medical parameters as: LVV, LV mass, stroke volume, ejection fraction, and cardiac output, etc. We propose new measures allowing the observation of the variations of the parameters in function of time. For example, in the calculation of the LVV, the results give a small error of 2% by respect on a manual segmentation made by the specialist. That demonstrates a good adjustment to the 3D volume images to the LV
  • Keywords
    echocardiography; medical image processing; 3D dynamic model; 3D global model; 3D superquadrics model; cardiac output; data acquisition; deformable superquadrics; ejection fraction; electromechanical device; left ventricle; medical parameters; quadratic error; rotational cylindrical 3D symmetry; stroke volume; Biomedical imaging; Cardiology; Cardiovascular diseases; Data mining; Deformable models; Heart; Image analysis; Image segmentation; Medical diagnostic imaging; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 2001
  • Conference_Location
    Rotterdam
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-7266-2
  • Type

    conf

  • DOI
    10.1109/CIC.2001.977601
  • Filename
    977601