Literature DB >> 2919052

Image analysis of fundus photographs. The detection and measurement of exudates associated with diabetic retinopathy.

N P Ward1, S Tomlinson, C J Taylor.   

Abstract

A computer-based image analysis system was used to detect and measure exudates in fundus photographs. A fundus transparency was imaged, digitized, and stored in image memory. The stored image was then processed by several operators, to reduce shade variations in the image background and enhance the contrast between this background and the exudates. Exudates were separated from the background on the basis of their brightness or "gray level" and were then copied in to a binary image. For comparative purposes, the binary image was superimposed on the original unprocessed image. Exudate areas were measured using the binary image, which was also transferred to a printer to provide a permanent record or "exudate map." The system was able to discriminate between standard photographs used to grade hard exudates in the Early Treatment for Diabetic Retinopathy Study (ETDRS). It was also used to monitor the response of a subject to laser treatment.

Entities:  

Mesh:

Year:  1989        PMID: 2919052

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  19 in total

1.  Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images.

Authors:  C Sinthanayothin; J F Boyce; H L Cook; T H Williamson
Journal:  Br J Ophthalmol       Date:  1999-08       Impact factor: 4.638

Review 2.  Laser imaging of the retina.

Authors:  P F Sharp; A Manivannan; P Vieira; J H Hipwell
Journal:  Br J Ophthalmol       Date:  1999-11       Impact factor: 4.638

3.  Diagnosis of diabetic retinopathy: automatic extraction of optic disc and exudates from retinal images using marker-controlled watershed transformation.

Authors:  Ahmed Wasif Reza; C Eswaran; Kaharudin Dimyati
Journal:  J Med Syst       Date:  2010-01-29       Impact factor: 4.460

4.  A decision support system for automatic screening of non-proliferative diabetic retinopathy.

Authors:  Ahmed Wasif Reza; C Eswaran
Journal:  J Med Syst       Date:  2009-07-04       Impact factor: 4.460

5.  Clinical experience with digitized fluorescein angiography.

Authors:  G Mimoun; G Soubrane; G Coscas
Journal:  Int Ophthalmol       Date:  1991-01       Impact factor: 2.031

6.  [Navigated focal retinal laser therapy using the NAVILAS® system for diabetic macula edema].

Authors:  M Kernt; R Cheuteu; R G Liegl; F Seidensticker; S Cserhati; C Hirneiss; C Haritoglou; A Kampik; M Ulbig; A S Neubauer
Journal:  Ophthalmologe       Date:  2012-07       Impact factor: 1.059

7.  Automatic tracing of optic disc and exudates from color fundus images using fixed and variable thresholds.

Authors:  Ahmed Wasif Reza; C Eswaran; Subhas Hati
Journal:  J Med Syst       Date:  2009-02       Impact factor: 4.460

8.  Detection and quantification of hyperfluorescent leakage by computer analysis of fundus fluorescein angiograms.

Authors:  R P Phillips; P G Ross; M Tyska; P F Sharp; J V Forrester
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  1991       Impact factor: 3.117

9.  Clinical application of multicolour scanning laser imaging in diabetic retinopathy.

Authors:  Shuting Li; Xiangning Wang; Xinhua Du; Qiang Wu
Journal:  Lasers Med Sci       Date:  2018-04-07       Impact factor: 3.161

10.  Automated detection and quantification of microaneurysms in fluorescein angiograms.

Authors:  T Spencer; R P Phillips; P F Sharp; J V Forrester
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  1992       Impact factor: 3.117

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.