• DocumentCode
    3684912
  • Title

    Computer-aided diagnosis of plus disease in retinal fundus images of preterm infants via measurement of vessel tortuosity

  • Author

    Faraz Oloumi;Rangaraj M. Rangayyan;Anna L. Ells

  • Author_Institution
    Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, AB, Canada, T2N 1N4
  • fYear
    2015
  • Firstpage
    4338
  • Lastpage
    4342
  • Abstract
    An increase in retinal vessel tortuosity can be indicative of the presence of various diseases including retinopathy of prematurity (ROP). Accurate detection and measurement of such changes could help in computer-aided diagnosis of plus disease, which warrants treatment of ROP. We present image processing methods for detection and segmentation of retinal vessels, quantification of vessel tortuosity, and diagnostic-decision-making criteria that incorporate the clinical definition of plus-diagnosis. The obtained results using 110 retinal fundus images of preterm infants (91 without plus and 19 with plus) provide high sensitivity = 0.89 (17/19) and excellent specificity = 0.95 (86/91) in the diagnosis of plus disease.
  • Keywords
    "Diseases","Image segmentation","Retina","Skeleton","Retinopathy","Length measurement","Sensitivity"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7319355
  • Filename
    7319355