Optimizing retinal image digitization for improved digital processing and visualization

Wilson, M.; Nemeth, Sheila C; Edwards, Ana; Solíz, Peter

doi:10.1109/cbms.2001.941703

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…Automated identification of the anatomical features in slit lamp photographs of the lens. IOVS 2002;43:E-Abstract 435) 14–. 17 In 1991, Cideciyan, Nagel and Jacobson developed a mathematical analysis and model of the overall noise produced by the process of retinal film photography and digital scanning in the course of research into retinitis pigmentosa.…”

Section: Discussionmentioning

confidence: 99%

Stability of 35-mm Scanners as Used in Ophthalmologic Research

Jensen¹,

Lee²,

Knudtson³

et al. 2010

Ophthalmic Surg Lasers Imaging Retina

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Section: Discussionmentioning

confidence: 99%

Stability of 35-mm Scanners as Used in Ophthalmologic Research

Jensen¹,

Lee²,

Knudtson³

et al. 2010

Ophthalmic Surg Lasers Imaging Retina

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

Corona

Mitra

Wilson

et al. 2002

IEEE Trans. Med. Imaging

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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.

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