• DocumentCode
    1865060
  • Title

    Computation of tortuosity of two dimensional vessels

  • Author

    Makkapati, Vishnu Vardhan ; Ravi, Vishnu Vardhan Chetlur

  • Author_Institution
    Philips Res. India, Philips India Ltd., Bangalore, India
  • fYear
    2015
  • fDate
    4-7 Jan. 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Vessel tortuosity is an important parameter in determining the presence or the severity of various diseases that are diagnosed based on the pathology of vessels. An accurate quantification of vessel tortuosity would therefore be of great clinical significance. Usually, the branches of blood vessels are also captured, along with the major blood vessel, in the medical images, thereby posing a challenge to the computation of tortuosity. This necessitates some pre-processing of the images, to remove the branches of blood vessels, accomplished using contour tracing techniques, as proposed in this paper. In this paper, we propose a novel metric to compute tortuosity for two dimensional vessels, with brief indications of its implementation using image processing techniques, and provide evidence of its advantages over other methods.
  • Keywords
    blood vessels; medical image processing; blood vessel; contour tracing technique; image processing technique; medical image; pathology; tortuosity computation; two dimensional vessel tortuosity; Biomedical imaging; Blood vessels; Diseases; Measurement; Retina; Skeleton; Vectors; Branches; retinal images; retinopathy of prematurity; tortuosity; vessel segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Pattern Recognition (ICAPR), 2015 Eighth International Conference on
  • Conference_Location
    Kolkata
  • Type

    conf

  • DOI
    10.1109/ICAPR.2015.7050711
  • Filename
    7050711