Back to Browse Journals » Clinical Ophthalmology » Volume 2 » Issue 1

Automated detection of proliferative retinopathy in clinical practice

Authors Audrey Karperien, Herbert F Jelinek, Jorge JG Leandro, João VB Soares, Roberto M Cesar Jr, Alan Luckie

Published Date March 2008 Volume 2008:2(1) Pages 109—122

DOI http://dx.doi.org/10.2147/OPTH.S1579

Published 17 March 2008

Audrey Karperien1, Herbert F Jelinek1,2, Jorge JG Leandro3, João VB Soares3, Roberto M Cesar Jr3, Alan Luckie4

1School of Community Health, Charles Sturt University, Albury, Australia; 2Centre for Research in Complex Systems, Charles Sturt University, Albury, Australia; 3Creative Vision Research Group, Department of Computer Science, IME – University of São Paulo, Brazil; 4Albury Eye Clinic, Albury, Australia

Abstract: Timely intervention for diabetic retinopathy (DR) lessens the possibility of blindness and can save considerable costs to health systems. To ensure that interventions are timely and effective requires methods of screening and monitoring pathological changes, including assessing outcomes. Fractal analysis, one method that has been studied for assessing DR, is potentially relevant in today’s world of telemedicine because it provides objective indices from digital images of complex patterns such as are seen in retinal vasculature, which is affected in DR. We introduce here a protocol to distinguish between nonproliferative (NPDR) and proliferative (PDR) changes in retinal vasculature using a fractal analysis method known as local connected dimension (Dconn) analysis. The major finding is that compared to other fractal analysis methods, Dconn analysis better differentiates NPDR from PDR (p = 0.05). In addition, we are the first to show that fractal analysis can be used to differentiate between NPDR and PDR using automated vessel identification. Overall, our results suggest this protocol can complement existing methods by including an automated and objective measure obtainable at a lower level of expertise that experts can then use in screening for and monitoring DR.

Keywords: diabetes, proliferative retinopathy, automated clinical assessment, fractal dimension, complex systems

Download Article [PDF] 

Creative Commons License This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution - Non Commercial (unported, v3.0) License. The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. Permissions beyond the scope of the License are administered by Dove Medical Press Limited. Information on how to request permission may be found at: http://www.dovepress.com/permissions.php

Readers of this article also read:

Foveal hemorrhage in an eye with foveal hypoplasia associated with albinism

Masuda N, Hasegawa T, Yamashita M, Ogata N

Clinical Ophthalmology 2014, 8:1731-1734

Published Date: 5 September 2014

A 6-year-old girl with ectopic cilia and hypochromic nevus

Fonseca FL, Yamanaka PK, Lima PP, Matayoshi S

Clinical Ophthalmology 2014, 8:1259-1261

Published Date: 2 July 2014

Blink patterns and lid-contact times in dry-eye and normal subjects

Ousler GW 3rd, Abelson MB, Johnston PR, Rodriguez J, Lane K, Smith LM

Clinical Ophthalmology 2014, 8:869-874

Published Date: 5 May 2014

Visual field characteristics in neuromyelitis optica in absence of and after one episode of optic neuritis

Merle H, Olindo S, Jeannin S, Hage R, Donnio A, Richer R, Cabre P

Clinical Ophthalmology 2013, 7:1145-1153

Published Date: 11 June 2013

Two-year outcomes of pro re nata ranibizumab monotherapy for exudative age-related macular degeneration in Japanese patients

Yamamoto A, Okada AA, Sugitani A, Kunita D, Rii T, Yokota R

Clinical Ophthalmology 2013, 7:757-763

Published Date: 19 April 2013

Revisiting corneal topography for the diagnosis of keratoconus: use of Rabinowitz's KISA% index

Sedghipour MR, Sadigh AL, Motlagh BF

Clinical Ophthalmology 2012, 6:181-184

Published Date: 26 January 2012

Common complications of deep lamellar keratoplasty in the early phase of the learning curve

Hosny M

Clinical Ophthalmology 2011, 5:791-795

Published Date: 10 June 2011

Corrigendum: Softec HD hydrophilic acrylic intraocular lens: biocompatibility and precision

Espandar L, Sikder S, Moshirfar M

Clinical Ophthalmology 2011, 5:159-160

Published Date: 6 February 2011