• DocumentCode
    2035344
  • Title

    Automatic segmentation of the heart muscle from echocardiographic images

  • Author

    Sirbu, Laura ; Thijssen, Johan ; Florea, Corneliu ; Buzuloiu, Vasile ; DeKorte, Chris

  • Author_Institution
    Image Process. & Anal. Lab. (LAPI), Politehnica Univ. of Bucuresti, Romania
  • Volume
    1
  • fYear
    2005
  • fDate
    14-15 July 2005
  • Firstpage
    39
  • Abstract
    This paper presents a fully automated method for endocardial and epicardial contour estimation from sequences of echocardiographic images using a short axis view of the left ventricle. The segmentation is performed by maximum likelihood estimation, separating the Rayleigh modes that model the regions of interest (inside endocardium, between endocardium and epicardium, or outside epicardium). The presented method leads to a fully automatic myocardial segmentation to be further used for strain estimation.
  • Keywords
    echocardiography; image segmentation; maximum likelihood estimation; Rayleigh modes; automatic segmentation; echocardiographic images; heart muscle; image segmentation; maximum likelihood estimation; Blood; Capacitive sensors; Heart; Image analysis; Image processing; Image segmentation; Laboratories; Muscles; Myocardium; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Circuits and Systems, 2005. ISSCS 2005. International Symposium on
  • Print_ISBN
    0-7803-9029-6
  • Type

    conf

  • DOI
    10.1109/ISSCS.2005.1509845
  • Filename
    1509845