Literature DB >> 3338889

Videographic quantification of optic disc pallor.

J M Miller1, J Caprioli.   

Abstract

Digitized images of the optic disc, acquired videographically (Rodenstock Analyzer) under green (540 nm) and red (640 nm) illumination, were used to quantify optic disc pallor. The pallor density of each pixel was defined as twice the reflectance under green illumination divided by the sum of the reflectance under red and green illumination. Pallor densities can range from 0 (red) to 1 (white); typical median values were 0.25 for vessels, 0.40 for healthy disc rim, and 0.70 for the lamina cribrosa. The variability of pallor measurements using this technique was determined. Two uniform color fields (Farnsworth-Munsell 100-Hue Test color chips 1 and 18) were imaged five times each using a model eye. Significant (P less than 0.0001) drift of mean pallor densities occurred between images of both sets. The optic discs of seven normal eyes and of seven glaucomatous eyes were imaged nine times each. The non-normal frequency distribution of pallor densities for each image was described by trimmed means and a measure of distribution width. Variability was defined as the standard deviation of the measurements divided by the full scale pallor density. The variability of the trimmed means increased with pallor density (r = 0.99, P less than 0.0001). The variability of distribution width was smaller than that of the mean values, and averaged 3.4% in normal and glaucomatous eyes. Videographic reflectometry may provide useful, quantitative measurements of optic disc pallor.

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Year:  1988        PMID: 3338889

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  7 in total

1.  Digital image analysis of optic nerve head pallor as a diagnostic test for early glaucoma.

Authors:  A Assad; J Caprioli
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  1992       Impact factor: 3.117

2.  Reproducibility of pallor measurements with the optic nerve head analyzer.

Authors:  K N Miller; M B Shields; A R Ollie
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  1989       Impact factor: 3.117

3.  Quantitative evaluation of optic disc pallor in pseudotumor cerebri patients.

Authors:  S Y Lee; D H Shin; T C Spoor; C S Tsai; C Kim; S H Lee
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  1992       Impact factor: 3.117

4.  Optic disc blood perfusion and oxygenation in glaucoma.

Authors:  Hosni Al Zoubi; Thomas Riemer; Rowena Simon; Walthard Vilser; Somar Hasan; Daniel Meller; Regine Augsten; Martin Hammer
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2022-06-06       Impact factor: 3.535

5.  Relationship Between Optic Nerve Appearance and Retinal Nerve Fiber Layer Thickness as Explored with Spectral Domain Optical Coherence Tomography.

Authors:  Tomas S Aleman; Jiayan Huang; Sean T Garrity; Stuart B Carter; Wendy D Aleman; Gui-Shuang Ying; Madhura A Tamhankar
Journal:  Transl Vis Sci Technol       Date:  2014-11-03       Impact factor: 3.283

6.  Quantitative analysis of optic disc color.

Authors:  Ungsoo Samuel Kim; Sun Jung Kim; Seung-Hee Baek; Hwang-Ki Kim; Yong-Ho Sohn
Journal:  Korean J Ophthalmol       Date:  2011-05-24

7.  Using ImageJ to evaluate optic disc pallor in traumatic optic neuropathy.

Authors:  Sunah Kang; Ungsoo Samuel Kim
Journal:  Korean J Ophthalmol       Date:  2014-03-14
  7 in total

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