• DocumentCode
    307621
  • Title

    Detection and reconstruction of cavity contours in a single frame 2D echocardiography using periodic splines approximation on a roughly pre-processed image, and automatic tuning of the parameters of the model

  • Author

    Robert, L. ; Canu, S. ; Lerallut, J.F. ; Maingourd, Y.

  • Author_Institution
    Dept. of Biomed. Eng., Univ. de Compiegne, France
  • Volume
    1
  • fYear
    1995
  • fDate
    20-25 Sep 1995
  • Firstpage
    589
  • Abstract
    The authors have applied Tikhonov theory of regularization to single frame 2D echocardiopediatric images, in order to reconstruct the cavity contour in real time. Once the problem is regularized, the authors approximate the contour using periodic splines, on a sample extracted by a radial seek algorithm for which the initialisation point is given by the operator. As the reconstruction of the contour is fast, the authors propose to use the cross-validation algorithm to tune automatically the parameters of this model. Finally the authors compare their results to the drawings of several physicians
  • Keywords
    echocardiography; edge detection; image reconstruction; medical image processing; modelling; splines (mathematics); Tikhonov regularization theory; automatically-tuned model parameters; cavity contours detection; cavity contours reconstruction; initialisation point; medical diagnostic imaging; periodic splines approximation; physicians´ drawings; radial seek algorithm; roughly preprocessed image; single frame 2D echocardiography; Biomedical engineering; Biomedical imaging; Cardiology; Costs; Data mining; Echocardiography; Hemodynamics; Image reconstruction; State estimation; Student members;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-7803-2475-7
  • Type

    conf

  • DOI
    10.1109/IEMBS.1995.575264
  • Filename
    575264