Relationship between diabetes and grayscale fractal dimensions of retinal vasculature in the Indian population

BMC Ophthalmology

Research Article

Rajeev Jain¹  Dinesh Kant Kumar²  Behzad Aliahmad²  Marc George Sarossy² 

[1] Save Sight Centre, Delhi, India;School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia;

关键词: Diabetic Retinopathy;    Optic Disk;    Retinal Image;    Diabetic Case;    Retinal Vasculature;   

DOI  :  10.1186/1471-2415-14-152

 received in 2014-07-02, accepted in 2014-11-20,  发布年份 2014

来源: Springer

【 摘 要 】

BackgroundDiabetes mellitus is rapidly increasing in the Indian population. The purpose of this study was to identify changes in the retinal vasculature of diabetic people, ahead of visual impairments. Grayscale Fractal Dimension (FD) analysis of retinal images was performed on people with type 2 diabetes from an Indian population.MethodsA cross-sectional study comprising 189 Optic Disc (OD) centred retinal images of healthy and diabetic individuals aged 14 to 73 years was conducted. Grayscale Box Counting FD of these retinal photographs was measured without manual supervision. Statistical analysis was conducted to determine the difference in the FD between diabetic and healthy (non-diabetic) people.ResultsThe results show that grayscale FD values for diabetic cases are higher compared to controls, irrespective of the gender. It was also observed that FD was higher for male compared with females.ConclusionsThere is difference in the grayscale fractal dimension of retinal vasculature of diabetic patients and healthy subjects, even when there is no reported retinopathy.

【 授权许可】

Unknown   
© Aliahmad et al.; licensee BioMed Central Ltd. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.