• DocumentCode
    2522471
  • Title

    LEFT VENTRICULAR SEGMENTATION USING DOUBLE REGION-BASED SNAKES

  • Author

    Phumeechanya, Sopon ; Pluempitiwiriyawej, Charnchai

  • Author_Institution
    Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok
  • fYear
    2007
  • fDate
    12-15 April 2007
  • Firstpage
    840
  • Lastpage
    843
  • Abstract
    We present a double region-based snake method to segment endocardial and epicardial boundaries of the left ventricle in cardiac MR images. The method is based on a region-based parametric active contour. The first active contour is designed to segment the endocardial boundary while the second active contour is to segment the epicardial boundary. We insert the inter-contour forces between the two convolving contours in order to control the distance between them. Our proposed method not only has an ability to segment the endocardial and the epicardial boundaries of the left ventricle simultaneously without requiring any training sets, it is also able to segment cardiac MR images with low contrast between the myocardium and other organs. We initially place both contours within the epicardial boundary of the left ventricle. Furthermore, the problem that one of the contours may, on occasions, be attracted to the boundary of the papillary muscles is solved by checking for the convex hull condition. Our results show successful simultaneous segmentations of the endocardial and the epicardial boundaries, thus the left ventricle of the heart in each MR image
  • Keywords
    biomedical MRI; cardiology; convolution; image segmentation; medical image processing; muscle; surface topography; biological organs; cardiac images; convex hull condition; convolving contours; double region-based snakes; endocardial boundary; epicardial boundary; heart; image segmentation; intercontour forces; left ventricle; left ventricular segmentation; magnetic resonance image; magnetic resonance images; myocardium; papillary muscles; region-based parametric active contour; training sets; Active contours; Biomedical imaging; Data visualization; Force control; Heart; Image reconstruction; Image segmentation; Magnetic resonance imaging; Muscles; Myocardium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    1-4244-0672-2
  • Electronic_ISBN
    1-4244-0672-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2007.356983
  • Filename
    4193417