• DocumentCode
    1130222
  • Title

    Digital stereo image analyzer for generating automated 3-D measures of optic disc deformation in glaucoma

  • Author

    Corona, Enrique ; Mitra, Sunanda ; Wilson, Mark ; Krile, Thomas ; Kwon, Young H. ; Soliz, Peter

  • Author_Institution
    Comput. Vision & Image Anal. Lab., Texas Tech. Univ., Lubbock, TX, USA
  • Volume
    21
  • Issue
    10
  • fYear
    2002
  • Firstpage
    1244
  • Lastpage
    1253
  • Abstract
    The major limitations of precise evaluation of retinal structures in present clinical situations are the lack of standardization, the inherent subjectivity involved in the interpretation of retinal images, and intra- as well as interobserver variability. While evaluating optic disc deformation in glaucoma, these limitations could be overcome by using advanced digital image analysis techniques to generate precise metrics; from stereo optic disc image pairs. A digital stereovision system for visualizing the topography of the optic nerve head from stereo optic disc images is presented. We have developed an algorithm, combining power cepstrum and zero-mean-normalized cross correlation techniques, which extracts depth information using coarse-to-fine disparity between corresponding windows in a stereo pair. The gray level encoded sparse disparity matrix is subjected to a cubic B-spline operation to generate smooth representations of the optic cup/disc surfaces and new three-dimensional (3-D) metrics from isodisparity contours. Despite the challenges involved in 3-D surface recovery, the robustness of our algorithm in finding disparities within the constraints used has been validated using stereo pairs with known disparities. In a preliminary longitudinal study of glaucoma patients, a strong correlation is found between the computer-generated quantitative cup/disc volume metrics and manual metrics commonly used in a clinic. The computer generated new metrics, however, eliminate the subjective variability and greatly reduce the time and cost involved in manual metric generation in follow-up studies of glaucoma.
  • Keywords
    biomedical optical imaging; diseases; eye; medical image processing; splines (mathematics); stereo image processing; vision defects; 3-D surface recovery; algorithm robustness; automated 3-D measures generation; coarse-to-fine disparity; computer-generated quantitative cup/disc volume metrics; cubic B-spline operation; depth information extraction; digital stereo image analyzer; follow-up studies; gray level encoded sparse disparity matrix; interobserver variability; isodisparity contours; manual metric generation; manual metrics; medical diagnostic imaging; optic disc deformation; retinal structures evaluation; smooth representations; stereo optic disc image pairs; subjective variability; Cepstral analysis; Cepstrum; Digital images; Head; Image analysis; Image generation; Retina; Standardization; Surface topography; Visualization; Algorithms; Glaucoma; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Longitudinal Studies; Ophthalmoscopy; Optic Disk; Pattern Recognition, Automated; Photogrammetry; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2002.806293
  • Filename
    1174102