• DocumentCode
    3543192
  • Title

    3D echocardiography pre-processing for ventricular volume estimation

  • Author

    Brancaleoni, F. ; Mikula, K. ; Sarti, A. ; Lamberti, C.

  • Author_Institution
    Dipt. di Elettronica Inf. e Sistemistica, Bologna Univ., Italy
  • fYear
    1997
  • fDate
    7-10 Sep 1997
  • Firstpage
    311
  • Lastpage
    314
  • Abstract
    A method for left ventricular volume estimation based on 3D echographic data is presented. Pre-processing of 3D data is performed by means of two different nonlinear diffusion techniques: anisotropic diffusion and geometrical diffusion (mean curvature motion). Anisotropic diffusion, which assumes a high diffusion velocity in region with low brightness gradient and vice-versa, produces a filtering effect without smoothing the edges. On the contrary, geometrical diffusion, which assumes a diffusion velocity according to local curvature, produces a smoothing of surfaces. The ventricular volume is estimated through a floodfill operation and divergence theorem
  • Keywords
    acoustic signal processing; echocardiography; medical image processing; volume measurement; 3D echocardiography preprocessing; anisotropic diffusion; diffusion velocity; divergence theorem; floodfill operation; geometrical diffusion; high diffusion velocity; low brightness gradient region; mean curvature motion; medical diagnostic imaging; nonlinear diffusion techniques; surface smoothing; ventricular volume estimation; Anisotropic magnetoresistance; Boundary value problems; Echocardiography; Filtering; Frequency; Mathematics; Noise reduction; Shape; Smoothing methods; Space heating;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 1997
  • Conference_Location
    Lund
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-4445-6
  • Type

    conf

  • DOI
    10.1109/CIC.1997.647893
  • Filename
    647893