Automatic Dry Eye Detection

Tamir Yedidya, Richard Hartley, Jean Guillon, Yogesan Kanagasingam

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    20 Citations (Scopus)

    Abstract

    Dry Eye Syndrome is a common disease in the western world, with effects from uncomfortable itchiness to permanent damage to the ocular surface. Nevertheless, there is still no objective test that provides reliable results. We have developed a new method for the automated detection of dry areas in videos taken after instilling fluorescein in the tear film. The method consists of a multi-step algorithm to first locate the iris in each image, then align the images and finally analyze the aligned sequence in order to find the regions of interest. Since the fluorescein spreads on the ocular surface of the eye the edges of the iris are fuzzy making the detection of the iris challenging. We use RANSAC to first detect the upper and lower eyelids and then the iris. Then we align the images by finding differences in intensities at different scales and using a least squares optimization method (Levenberg-Marquardt), to overcome the movement of the iris and the camera. The method has been tested on videos taken from different patients. It is demonstrated to find the dry areas accurately and to provide a measure of the extent of the disease.
    Original languageEnglish
    Title of host publicationMedical Image Computing and Computer Assisted Intervention Society Conference Proceedings
    EditorsConference Program Committee
    Place of PublicationHeidelberg
    PublisherSpringer
    Pages792-799
    Number of pages8
    EditionPeer Reviewed
    ISBN (Print)9783540757566
    DOIs
    Publication statusPublished - 2007
    EventMICCAI 2007 - 10th International Conference on Medical Image Computing and Computer Assisted Intervention - Brisbane Australia, Australia
    Duration: 1 Jan 2007 → …
    http://www.springer.com/west/home?SGWID=4-102-22-173779176-0&changeHeader=true&referer=www.springeronline.com&SHORTCUT=www.springer.com/978-3-540-75756-6

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 1
    Volume4791 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    ConferenceMICCAI 2007 - 10th International Conference on Medical Image Computing and Computer Assisted Intervention
    Country/TerritoryAustralia
    Period1/01/07 → …
    OtherOctober 29-November 2 2007
    Internet address

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