• DocumentCode
    2315729
  • Title

    An Active Contour Approach To Automatic Detection Of The Intima-Media Thickness

  • Author

    Ceccarelli, M. ; De Luca, N. ; Morganella, A.

  • Author_Institution
    Sannio Univ.
  • Volume
    2
  • fYear
    2006
  • fDate
    14-19 May 2006
  • Abstract
    In this paper, we propose a snake-based approach for the automatic detection of the intima-media thickness (IMT) of the far wall of the common carotid artery. The main problems to be faced are related, from one point, to the high level of speckle noise and, from the other, to the need of an accurate segmentation of the vessel structure for diagnostic purposes. In particular, the detection of the intima layer plays a fundamental role as it represents the initial contour from where the method should start. We propose an automatic segmentation approach which makes use of a first non linear filtering based on anisotropic diffusion followed by an iterative relaxation procedure. Once the intima layer has been detected our method tries to locate an optimal initial contour to detect the wall of the artery by minimizing of a modified energy functional
  • Keywords
    edge detection; filtering theory; image segmentation; iterative methods; relaxation theory; active contour approach; automatic detection; automatic segmentation approach; intima-media thickness; iterative relaxation procedure; linear filtering; snake-based approach; speckle noise; Active contours; Anisotropic magnetoresistance; Carotid arteries; Data mining; Face detection; Image edge detection; Image segmentation; Maximum likelihood detection; Noise level; Speckle; Active contour; Anisotropic diffusion; Energy functional; Intimamedia complex; Segmentation; Snake; Speckle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
  • Conference_Location
    Toulouse
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0469-X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2006.1660441
  • Filename
    1660441