• DocumentCode
    347360
  • Title

    A knowledge guided left ventricular segmentation-the Taguchi approach

  • Author

    Chen, Ding-Horng ; Sun, Yung-Nien

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • Volume
    2
  • fYear
    1999
  • fDate
    36434
  • Abstract
    The deformable model (snake) is widely applied in segmentation for medical images especially for cardiac image analysis. Although the model is flexible in the contour deformation process, the weights of associated energy in the model are always given empirically. The systematic (or automatic) weight assignment is still unavailable. In this paper, the authors propose a new method to determine the weights of snake properly for the detection of left ventricle from sonogram. The Taguchi method is adopted to obtain the weight assignment efficiently. To avoid the type one error in weight assignment, the ANOVA test is performed to verify the correctness of the authors´ assumption. The experimental results show that the proposed method successfully resolves the weight assignment problem in the deformable model and obtains satisfactory cardiac contour detection
  • Keywords
    Taguchi methods; biomedical ultrasonics; cardiology; image segmentation; medical image processing; ANOVA test; Taguchi approach; associated energy weights; cardiac image analysis; deformable model; knowledge guided left ventricular segmentation; medical diagnostic imaging; satisfactory cardiac contour detection; Analysis of variance; Biomedical engineering; Computer science; Deformable models; Image analysis; Image segmentation; Phase detection; Power engineering and energy; Shape; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    [Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
  • Conference_Location
    Atlanta, GA
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-5674-8
  • Type

    conf

  • DOI
    10.1109/IEMBS.1999.804339
  • Filename
    804339