• DocumentCode
    1799407
  • Title

    An image processing-based method for quantification of microvasculature

  • Author

    Bo Sun

  • Author_Institution
    Dept. of Math & Comput. Sci., Lincoln Univ., Lincoln, PA, USA
  • fYear
    2014
  • fDate
    14-18 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The characteristic of microscopic vascular data is that it contains many tiny vessels with branching and complex structure. The quantification of these vascular networks is crucial in diagnose of vascular abnormalities, surgical planning, and monitoring disease progress or remission. Therefore, We have developed a computerized system for automatically measuring the vascular data of a microscopic image. The major component of this system is an image processing-based method for quantitative analysis and a fast and accurate vessels extraction method.
  • Keywords
    blood vessels; feature extraction; image colour analysis; image segmentation; medical image processing; microscopy; vein recognition; RGB images; image processing; microscopic image; microscopic vascular data; microvasculature quantification; vessel extraction method; Active contours; Algorithm design and analysis; Image color analysis; Image segmentation; Lighting; Microscopy; Automated morphometry; Complexity analysis; Image Processing; Tumor vasculature; Vasculature segmentation; microscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICMEW.2014.6890564
  • Filename
    6890564