• DocumentCode
    2959086
  • Title

    3D reconstruction of the left ventricle by triangulation method

  • Author

    Souag, N.

  • Author_Institution
    Lab. of Image Process., USTHB, Algeria
  • Volume
    1
  • fYear
    2004
  • fDate
    4-7 May 2004
  • Firstpage
    293
  • Abstract
    The aim of this paper is to develop software for three dimensional (3D) reconstruction of the left ventricle (LV) from two-dimensional (2D) echographic images. Using a rotating probe combined with an ECG gating technique we acquire transthoracic images database (20 images per ECG cycle for 9 rotations). Speckle noise is the major difficulty that arises in echocardiographic image processing. We are used an anisotropic diffusion to reduce the presence of the speckle. The LV boundaries are plotted manually using the PC mouse, and are sampled to reduce the amount of stocked data. Since the rotation step of probe is large (20°), the spatial resolution is poor so additional boundaries are interpolated between acquired image contours. We have used the three-linear interpolation method. We can reconstruct 3D images of the left ventricle of apical long axis view of the same cardiac phase. The triangulation method has been used to join pattern contours and interpolated points.
  • Keywords
    electrocardiography; image reconstruction; medical image processing; 3D image reconstruction; ECG gating technique; echocardiographic image processing; left ventricle; rotating probe; speckle noise; three-linear interpolation method; transthoracic images database; triangulation method; two-dimensional echographic images; Anisotropic magnetoresistance; Electrocardiography; Image databases; Image processing; Image reconstruction; Interpolation; Mice; Probes; Spatial resolution; Speckle; 3D reconstruction; Echocardiographic images; anisotropic diffusion; sample contours; three-linear interpolation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2004 IEEE International Symposium on
  • Print_ISBN
    0-7803-8304-4
  • Type

    conf

  • DOI
    10.1109/ISIE.2004.1571823
  • Filename
    1571823