Literature DB >> 3808617

Drusen measurement from fundus photographs using computer image analysis.

E Peli, M Lahav.   

Abstract

Drusen are yellowish deposits at the level of the retinal pigment epithelium and are frequently associated with age-related maculopathy (ARM). Drusen often change in size and number over time and may be followed by atrophic or exudative macular degeneration. A quantitative method to measure the development of drusen is needed for controlled studies of the natural history, prognosis, and treatment of ARM. An objective method is described using computer image analysis of fundus photographs for the detection and measurement of drusen. This technique enables us to measure both the area of drusen in the macula and the changes in the drusen pattern over time. Evaluation of repeated photographs showed reproducibility of 6.1%, whereas the reproducibility of processing photographic duplicates was 2.3%. Digitization with a high-quality linear array solid state camera did not change reproducibility significantly.

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Mesh:

Year:  1986        PMID: 3808617     DOI: 10.1016/s0161-6420(86)33524-3

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


  10 in total

1.  A method of drusen measurement based on reconstruction of fundus background reflectance.

Authors:  R T Smith; J K Chan; T Nagasaki; J R Sparrow; I Barbazetto
Journal:  Br J Ophthalmol       Date:  2005-01       Impact factor: 4.638

2.  Autofluorescence characteristics of normal foveas and reconstruction of foveal autofluorescence from limited data subsets.

Authors:  R Theodore Smith; Jan P Koniarek; Jackie Chan; Takayuki Nagasaki; Janet R Sparrow; Kevin Langton
Journal:  Invest Ophthalmol Vis Sci       Date:  2005-08       Impact factor: 4.799

3.  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

4.  Automated detection of macular drusen using geometric background leveling and threshold selection.

Authors:  R Theodore Smith; Jackie K Chan; Takayuki Nagasaki; Umer F Ahmad; Irene Barbazetto; Janet Sparrow; Marta Figueroa; Joanna Merriam
Journal:  Arch Ophthalmol       Date:  2005-02

5.  Drusen analysis in a human-machine synergistic framework.

Authors:  R Theodore Smith; Mahsa A Sohrab; Nicole M Pumariega; Kanika Mathur; Raymond Haans; Anna Blonska; Karl Uy; Dominiek Despriet; Caroline Klaver
Journal:  Arch Ophthalmol       Date:  2011-01

6.  An interinstitutional comparative study and validation of computer aided drusen quantification.

Authors:  V Sivagnanavel; R T Smith; G B Lau; J Chan; C Donaldson; N V Chong
Journal:  Br J Ophthalmol       Date:  2005-05       Impact factor: 4.638

7.  IMAGE ENHANCEMENT FOR IMPAIRED VISION: THE CHALLENGE OF EVALUATION.

Authors:  Eli Peli; Russell L Woods
Journal:  Int J Artif Intell Tools       Date:  2009-06       Impact factor: 1.208

8.  Optimisation of an automated drusen-quantifying software for the analysis of drusen distribution in patients with age-related macular degeneration.

Authors:  B B Ong; N Lee; W P Lee; E Pearce; S Sivaprasad; C C Klaver; R T Smith; N V Chong
Journal:  Eye (Lond)       Date:  2013-01-11       Impact factor: 3.775

9.  Automated drusen detection in retinal images using analytical modelling algorithms.

Authors:  André D Mora; Pedro M Vieira; Ayyakkannu Manivannan; José M Fonseca
Journal:  Biomed Eng Online       Date:  2011-07-12       Impact factor: 2.819

10.  A method of drusen measurement based on the geometry of fundus reflectance.

Authors:  R Theodore Smith; Takayuki Nagasaki; Janet R Sparrow; Irene Barbazetto; Caroline C W Klaver; Jackie K Chan
Journal:  Biomed Eng Online       Date:  2003-04-18       Impact factor: 2.819

  10 in total

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