Early detection of glaucoma using fully automated disparity analysis of optic nerve head (ONH) from stereo fundus images

Archie Sharma, Enrique Corona, Sunanda Mitra, Brian S. Nutter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Early detection of structural damage to the optic nerve head (ONH) is critical in diagnosis of glaucoma, because such glaucomatous damage precedes clinically identifiable visual loss. Early detection of glaucoma can prevent progression of the disease and consequent loss of vision. Traditional early detection techniques involve observing changes in the ONH through an ophthalmoscope. Stereo fundus photography is also routinely used to detect subtle changes in the ONH. However, clinical evaluation of stereo fundus photographs suffers from inter- and intra-subject variability. Even the Heidelberg Retina Tomograph (HRT) has not been found to be sufficiently sensitive for early detection. A semiautomated algorithm for quantitative representation of the optic disc and cup contours by computing accumulated disparities in the disc and cup regions from stereo fundus image pairs has already been developed using advanced digital image analysis methodologies. A 3-D visualization of the disc and cup is achieved assuming camera geometry. High correlation among computer-generated and manually segmented cup to disc ratios in a longitudinal study involving 159 stereo fundus image pairs has already been demonstrated. However, clinical usefulness of the proposed technique can only be tested by a fully automated algorithm. In this paper, we present a fully automated algorithm for segmentation of optic cup and disc contours from corresponding stereo disparity information. Because this technique does not involve human intervention, it eliminates subjective variability encountered in currently used clinical methods and provides ophthalmologists with a cost-effective and quantitative method for detection of ONH structural damage for early detection of glaucoma.

Original languageEnglish
Title of host publicationMedical Imaging 2006
Subtitle of host publicationImage Processing
DOIs
StatePublished - 2006
EventMedical Imaging 2006: Image Processing - San Diego, CA, United States
Duration: Feb 13 2006Feb 16 2006

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6144 I
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2006: Image Processing
CountryUnited States
CitySan Diego, CA
Period02/13/0602/16/06

Keywords

  • Computer-Aided diagnosis
  • Disparity analysis
  • Glaucoma
  • Registration
  • Stereo fundus image pair

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    Sharma, A., Corona, E., Mitra, S., & Nutter, B. S. (2006). Early detection of glaucoma using fully automated disparity analysis of optic nerve head (ONH) from stereo fundus images. In Medical Imaging 2006: Image Processing [61440H] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6144 I). https://doi.org/10.1117/12.654019