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

1992 ◽  
Vol 230 (5) ◽  
pp. 432-436 ◽  
Author(s):  
Albert Assad ◽  
Joseph Caprioli
Keyword(s):  
Image Analysis ◽  
Optic Nerve ◽  
Diagnostic Test ◽  
Optic Nerve Head ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Early Glaucoma

Anatomical digital image analysis of the angle and optic nerve - a novel method for glaucoma imaging

2015 ◽  
Vol 93 ◽  
pp. n/a-n/a
Author(s):  
G. Russell ◽  
Á. Szabó ◽  
P. Sziklai ◽  
A. Facskó ◽  
M. Kolko ◽  
...  
Keyword(s):  
Image Analysis ◽  
Optic Nerve ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Novel Method

scholarly journals Digital Image Analysis of the Angle and Optic Nerve: A Simple, Fast, and Low-Cost Method for Glaucoma Assessment

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Greg Russell ◽  
Silvia N. W. Hertzberg ◽  
Natalia Anisimova ◽  
Natalia Gavrilova ◽  
Beáta É. Petrovski ◽  
...  
Keyword(s):  
Image Analysis ◽  
Optic Nerve ◽  
Nerve Fiber ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Low Cost ◽  
Detection Methods ◽  
Slit Lamp ◽  
Image Subtraction ◽  
Oct Imaging

Purpose. To devise a simple, fast, and low-cost method for glaucoma assessment using digital image analysis of the angle and optic nerve in human subjects. Methods. Images from glaucoma and fundus assessment were used in this study, including color fundus photographs, standard optic nerve optical coherence tomography (OCT), and digital slit-lamp images of the angle/gonioscopy. Digital image conversion and analysis of the angle using ImageJ (NIH, USA) and adaptive histogram equalization contrast-limited AHE (CLAHE) to prevent noise amplification were implemented. Angle and optic nerve images were analyzed separately in the red, green, and blue (RGB) channels followed by 3D volumetric analysis of the degrees of angle depth and cup volume of the optic nerve. Horizontal tomogram reconstitution and nerve fiber detection methods were developed and compared to standard OCT images. Results. Digital slit-lamp angle images showed similar accuracy as standard anterior OCT measurements. Comparative analysis of RGB channels produced volumetric cup and horizontal tomogram, which closely resembled the 3D OCT appearance and B-scan of the cup, respectively. RGB channel splitting and image subtraction produced a map closely resembling that of the retinal nerve fiber layer (RNFL) thickness map on OCT. Conclusions. While OCT imaging is rapidly progressing in the area of optic disc and chamber angle assessment, rising healthcare costs and lack of availability of the technology open a demand for alternative and cost-minimizing forms of image analysis in glaucoma. Volumetric, geometric, and segmentational data obtained through digital image analysis correspond well to those obtained by OCT imaging.

Digital Image Analysis of the Larynx

2000 ◽  
Vol 10 (2) ◽  
pp. 7-9
Author(s):  
Yaser Natour ◽  
Christine Sapienza ◽  
Mark Schmalz ◽  
Savita Collins
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis

scholarly journals Digital Image Analysis of BAP-1 Accurately Predicts Uveal Melanoma Metastasis

2019 ◽  
Vol 8 (3) ◽  
pp. 11 ◽  
Author(s):  
Gustav Stålhammar ◽  
Thonnie Rose O. See ◽  
Stephen Phillips ◽  
Stefan Seregard ◽  
Hans E. Grossniklaus
Keyword(s):  
Image Analysis ◽  
Uveal Melanoma ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Melanoma Metastasis

Quantitative evaluation of elderly skin based on digital image analysis

2008 ◽  
Vol 14 (2) ◽  
pp. 192-200 ◽  
Author(s):  
Hiromasa Tanaka ◽  
Gojiro Nakagami ◽  
Hiromi Sanada ◽  
Yunita Sari ◽  
Hiroshi Kobayashi ◽  
...  
Keyword(s):  
Image Analysis ◽  
Quantitative Evaluation ◽  
Digital Image ◽  
Digital Image Analysis
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