Clinical application of enhanced retinal vasculature visualization using hemoglobin absorbance

Purpose To develop a digital filter for better visualization of retinal blood vessels and verify its clinical usefulness Methods Four‐hundred 24‐bit color fundus images were analyzed and properties of red, green, and blue channels were extracted. Then, using hemoglobin absorption coefficients, the r...

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Bibliographic Details
Published in:Acta ophthalmologica (Oxford, England) England), 2017-09, Vol.95 (S259), p.n/a
Main Author: Kim, Y.T.
Format: Article
Language:English
Subjects:
Absorbance
Absorptivity
Blood vessels
Color vision
Diabetes
Diabetes mellitus
Diabetic retinopathy
Hemoglobin
Image detection
Image processing
Retina
Retinopathy
Visualization
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Summary:Purpose To develop a digital filter for better visualization of retinal blood vessels and verify its clinical usefulness Methods Four‐hundred 24‐bit color fundus images were analyzed and properties of red, green, and blue channels were extracted. Then, using hemoglobin absorption coefficients, the relevant weights for gray‐scale conversion that emphasizes retinal vessels were calculated. To evaluate images, edges were detected via convolutional 2D Laplacian kernel from the processed images, and the number of edges, number of effective edges, and sum of intensities of edges were evaluated. The values of weights for red, green, and blue channels were calculated to be ‐0.0572, 0.7335, and 2.2079, respectively. The number of edges, effective edges, and sum of intensities of edges were all found to be significantly higher in the images processed with the new filter (P 
ISSN:1755-375X
1755-3768
DOI:10.1111/j.1755-3768.2017.0F051