Literature DB >> 17281736

Research on features of retinal images associated with hypertension and diabetes.

Peng Zhou1, Mingshi Wang, Hongbao Cao.   

Abstract

In order to discussed the feasibility of detecting hypertension and diabetes using certain features of retinal images, this paper compared features of Twenty-six retinal images from three groups, normotensive, hypertension and diabetes Those features including exudates, bifurcation angle, artery-to-veins diameter ratio, mean artery and vein diameters, shape and size of optic disc, and vessel tortuosity. The results show that in retinal images of hypertension and diabetes, exudates appeared, and the area increased with years of illness. The mean arterial diameter tended to decrease while the mean vein diameter dilated. Compared to the normotensive group, the artery-to-vein diameter ratio decreased for both the hypertensive and diabetic group. The shape and size changes of the optic disc were obvious in the diabetic group. The hypertensive group showed tortuous blood vessels. No tortuous blood vessels were observed in the diabetic group. The study demonstrates that, expect the bifurcation angles, it is unfeasible to use retinal image features in the detection of hypertension and diabetes, but they do have some meaning in clinic diagnosis of hypertension and diabetes since some characteristics of retinal images of those patients become pathologically changed.

Entities:  

Year:  2005        PMID: 17281736     DOI: 10.1109/IEMBS.2005.1615966

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Automated analysis of retinal vascular tortuosity on color retinal images.

Authors:  Alauddin Bhuiyan; Baikunth Nath; Kotagiri Ramamohanarao; Ryo Kawasaki; Tien Yin Wong
Journal:  J Med Syst       Date:  2010-06-18       Impact factor: 4.460

2.  Shift-invariant discrete wavelet transform analysis for retinal image classification.

Authors:  April Khademi; Sridhar Krishnan
Journal:  Med Biol Eng Comput       Date:  2007-10-23       Impact factor: 2.602

  2 in total

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