Literature DB >> 12426111

Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis.

Conor Heneghan1, John Flynn, Michael O'Keefe, Mark Cahill.   

Abstract

Many retinal diseases are characterised by changes to retinal vessels. For example, a common condition associated with retinopathy of prematurity (ROP) is so-called plus disease, characterised by increased vascular dilation and tortuosity. This paper presents a general technique for segmenting out vascular structures in retinal images, and characterising the segmented blood vessels. The segmentation technique consists of several steps. Morphological preprocessing is used to emphasise linear structures such as vessels. A second derivative operator is used to further emphasise thin vascular structures, and is followed by a final morphological filtering stage. Thresholding of this image is used to provide a segmented vascular mask. Skeletonisation of this mask allows identification of points in the image where vessels cross (bifurcations and crossing points) and allows the width and tortuosity of vessel segments to be calculated. The accuracy of the segmentation stage is quite dependent on the parameters used, particularly at the thresholding stage. However, reliable measurements of vessel width and tortuosity were shown using test images. Using these tools, a set of images drawn from 23 subjects being screened for the presence of threshold ROP disease is considered. Of these subjects, 11 subsequently required treatment for ROP, 9 had no evidence of ROP, and 3 had spontaneously regressed ROP. The average vessel width and tortuosity for the treated subjects was 96.8 microm and 1.125. The corresponding figures for the non-treated cohort were 86.4 microm and 1.097. These differences were statistically significant at the 99% and 95% significance level, respectively. Subjects who progressed to threshold disease during the course of screening showed an average increase in vessel width of 9.6 microm and in tortuosity of +0.008. Only the change in width was statistically significant. Applying a simple retrospective screening paradigm based solely on vessel width and tortuosity yields a screening test with a sensitivity and specificity of 82% and 75%. Factors confounding a more accurate test include poor image quality, inaccuracies in vessel segmentation, inaccuracies in measurement of vessel width and tortuosity, and limitations inherent in screening based solely on examination of the posterior pole. Copyright 2002 Elsevier Science B.V.

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Mesh:

Year:  2002        PMID: 12426111     DOI: 10.1016/s1361-8415(02)00058-0

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  39 in total

1.  Plus disease in retinopathy of prematurity: quantitative analysis of vascular change.

Authors:  Preeti J Thyparampil; Yangseon Park; M E Martinez-Perez; Thomas C Lee; David J Weissgold; Audina M Berrocal; R V Paul Chan; John T Flynn; Michael F Chiang
Journal:  Am J Ophthalmol       Date:  2010-10       Impact factor: 5.258

2.  Diagnosis of plus disease in retinopathy of prematurity using Retinal Image multiScale Analysis.

Authors:  Rony Gelman; M Elena Martinez-Perez; Deborah K Vanderveen; Anne Moskowitz; Anne B Fulton
Journal:  Invest Ophthalmol Vis Sci       Date:  2005-12       Impact factor: 4.799

3.  The further refinement of ROP treatment. commentary on the early treatment of retinopathy of prematurity study: structural findings at 2 years of age.

Authors:  Alistair R Fielder; Andrew R Wilkinson
Journal:  Br J Ophthalmol       Date:  2007-02       Impact factor: 4.638

4.  Agreement among pediatric ophthalmologists in diagnosing plus and pre-plus disease in retinopathy of prematurity.

Authors:  David K Wallace; Graham E Quinn; Sharon F Freedman; Michael F Chiang
Journal:  J AAPOS       Date:  2008-03-10       Impact factor: 1.220

5.  A Multi-Anatomical Retinal Structure Segmentation System for Automatic Eye Screening Using Morphological Adaptive Fuzzy Thresholding.

Authors:  Jasem Almotiri; Khaled Elleithy; Abdelrahman Elleithy
Journal:  IEEE J Transl Eng Health Med       Date:  2018-05-17       Impact factor: 3.316

6.  Evaluation of vascular disease progression in retinopathy of prematurity using static and dynamic retinal images.

Authors:  Jane S Myung; Rony Gelman; Grant D Aaker; Nathan M Radcliffe; R V Paul Chan; Michael F Chiang
Journal:  Am J Ophthalmol       Date:  2011-10-22       Impact factor: 5.258

Review 7.  Systematic review of digital imaging screening strategies for retinopathy of prematurity.

Authors:  Alex R Kemper; David K Wallace; Graham E Quinn
Journal:  Pediatrics       Date:  2008-10       Impact factor: 7.124

8.  Computer-assisted quantification of vascular tortuosity in retinopathy of prematurity (an American Ophthalmological Society thesis).

Authors:  David K Wallace
Journal:  Trans Am Ophthalmol Soc       Date:  2007

9.  Computer-aided diagnosis of retinopathy in retinal fundus images of preterm infants via quantification of vascular tortuosity.

Authors:  Faraz Oloumi; Rangaraj M Rangayyan; Anna L Ells
Journal:  J Med Imaging (Bellingham)       Date:  2016-12-15

10.  Semiautomated computer analysis of vessel growth in preterm infants without and with ROP.

Authors:  C Swanson; K D Cocker; K H Parker; M J Moseley; A R Fielder
Journal:  Br J Ophthalmol       Date:  2003-12       Impact factor: 4.638

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