• DocumentCode
    406569
  • Title

    3D segmentation and characterization of lower limb vessels in multi-slice computed tomography

  • Author

    Boldak, C. ; Toumoulin, C. ; Coatrieux, J.-L.

  • Author_Institution
    Fac. of Comput. Sci., Bialystok Tech. Univ., Poland
  • Volume
    1
  • fYear
    2003
  • fDate
    17-21 Sept. 2003
  • Firstpage
    580
  • Abstract
    This paper describes a fast 3D extraction method for the lower limb vessels in multi-slice computed tomography. It represents an extension of our previous work and makes uses of a two-step process: the first one performs a vessel central axis tracking. It makes use of a semi-automatic 3D geometrical moment-based method to localize the center of the vessel and its local direction. It allows at the same time a first roughly delineation of the calcification areas and a diameter estimation at any point of the vessel. A refinement is then performed based on a level set approach to improve the delineation accuracy of the contour and calcifications. The vascular lumen is then calculated in the calcified area to evaluate the severity of the vessel narrowing.
  • Keywords
    blood vessels; computerised tomography; image segmentation; medical image processing; patient diagnosis; 3D extraction method; 3D segmentation; calcification areas; delineation; diameter estimation; lower limb vessels; multislice computed tomography; semiautomatic 3D geometrical moment-based method; vascular lumen; vessel central axis tracking; vessel narrowing; Aneurysm; Arteries; Atherosclerosis; Computed tomography; Computer science; Data analysis; Data mining; Diseases; Level set; Pathology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7789-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2003.1279811
  • Filename
    1279811