• DocumentCode
    88686
  • Title

    Computer-Aided Diagnosis Software for Hypertensive Risk Determination Through Fundus Image Processing

  • Author

    Morales, S. ; Naranjo, V. ; Navea, Amparo ; Alcaniz, Mariano

  • Author_Institution
    Inst. Interuniversitario de Investig. en Bioingenieria y Tecnol. Orientada al Ser Humano, Univ. Politec. de Valencia, Valencia, Spain
  • Volume
    18
  • Issue
    6
  • fYear
    2014
  • fDate
    Nov. 2014
  • Firstpage
    1757
  • Lastpage
    1763
  • Abstract
    The goal of the software proposed in this paper is to assist ophthalmologists in diagnosis and disease prevention, helping them to determine cardiovascular risk or other diseases where the vessels can be altered, as well as to monitor the pathology progression and response to different treatments. The performance of the tool has been evaluated by means of a double-blind study where its sensitivity, specificity, and reproducibility to discriminate between health fundus (without cardiovascular risk) and hypertensive patients has been calculated in contrast to an expert ophthalmologist opinion obtained through a visual inspection of the fundus image. An improvement of almost 20% has been achieved comparing the system results with the clinical visual classification.
  • Keywords
    biomedical optical imaging; blood vessels; cardiovascular system; diseases; eye; image classification; medical image processing; cardiovascular diseases; clinical visual classification; computer-aided diagnosis software; double-blind study; fundus image processing; hypertensive patients; hypertensive risk determination; pathology progression monitoring; vessels; Bifurcation; Biomedical image processing; Computer aided diagnosis; Hypertension; Retinal vessels; Software; Bifurcation angles; hypertension; retinal vascular tree; retinal vessels; vessel caliber;
  • fLanguage
    English
  • Journal_Title
    Biomedical and Health Informatics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    2168-2194
  • Type

    jour

  • DOI
    10.1109/JBHI.2014.2337960
  • Filename
    6851867