Skip to main content
placeholder image

Automatic non-proliferative diabetic retinopathy screening system based on color fundus image

Journal Article


Download full-text (Open Access)

Abstract


  • Background: Non-proliferative diabetic retinopathy is the early stage of diabetic retinopathy. Automatic detection of non-proliferative diabetic retinopathy is significant for clinical diagnosis, early screening and course progression of patients. Methods: This paper introduces the design and implementation of an automatic system for screening non-proliferative diabetic retinopathy based on color fundus images. Firstly, the fundus structures, including blood vessels, optic disc and macula, are extracted and located, respectively. In particular, a new optic disc localization method using parabolic fitting is proposed based on the physiological structure characteristics of optic disc and blood vessels. Then, early lesions, such as microaneurysms, hemorrhages and hard exudates, are detected based on their respective characteristics. An equivalent optical model simulating human eyes is designed based on the anatomical structure of retina. Main structures and early lesions are reconstructed in the 3D space for better visualization. Finally, the severity of each image is evaluated based on the international criteria of diabetic retinopathy. Results: The system has been tested on public databases and images from hospitals. Experimental results demonstrate that the proposed system achieves high accuracy for main structures and early lesions detection. The results of severity classification for non-proliferative diabetic retinopathy are also accurate and suitable. Conclusions: Our system can assist ophthalmologists for clinical diagnosis, automatic screening and course progression of patients.

Authors


  •   Xiao, Zhitao (external author)
  •   Zhang, Xinpeng (external author)
  •   Geng, Lei (external author)
  •   Zhang, Fang (external author)
  •   Wu, Jun (external author)
  •   Tong, Jun
  •   Ogunbona, Philip O.
  •   Shan, Chunyan (external author)

Publication Date


  • 2017

Citation


  • Z. Xiao, X. Zhang, L. Geng, F. Zhang, J. Wu, J. Tong, P. O. Ogunbona & C. Shan, "Automatic non-proliferative diabetic retinopathy screening system based on color fundus image," BioMedical Engineering OnLine, vol. 16, pp. 122-1-122-19, 2017.

Scopus Eid


  • 2-s2.0-85032192165

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1746&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/745

Start Page


  • 122-1

End Page


  • 122-19

Volume


  • 16

Place Of Publication


  • United Kingdom

Abstract


  • Background: Non-proliferative diabetic retinopathy is the early stage of diabetic retinopathy. Automatic detection of non-proliferative diabetic retinopathy is significant for clinical diagnosis, early screening and course progression of patients. Methods: This paper introduces the design and implementation of an automatic system for screening non-proliferative diabetic retinopathy based on color fundus images. Firstly, the fundus structures, including blood vessels, optic disc and macula, are extracted and located, respectively. In particular, a new optic disc localization method using parabolic fitting is proposed based on the physiological structure characteristics of optic disc and blood vessels. Then, early lesions, such as microaneurysms, hemorrhages and hard exudates, are detected based on their respective characteristics. An equivalent optical model simulating human eyes is designed based on the anatomical structure of retina. Main structures and early lesions are reconstructed in the 3D space for better visualization. Finally, the severity of each image is evaluated based on the international criteria of diabetic retinopathy. Results: The system has been tested on public databases and images from hospitals. Experimental results demonstrate that the proposed system achieves high accuracy for main structures and early lesions detection. The results of severity classification for non-proliferative diabetic retinopathy are also accurate and suitable. Conclusions: Our system can assist ophthalmologists for clinical diagnosis, automatic screening and course progression of patients.

Authors


  •   Xiao, Zhitao (external author)
  •   Zhang, Xinpeng (external author)
  •   Geng, Lei (external author)
  •   Zhang, Fang (external author)
  •   Wu, Jun (external author)
  •   Tong, Jun
  •   Ogunbona, Philip O.
  •   Shan, Chunyan (external author)

Publication Date


  • 2017

Citation


  • Z. Xiao, X. Zhang, L. Geng, F. Zhang, J. Wu, J. Tong, P. O. Ogunbona & C. Shan, "Automatic non-proliferative diabetic retinopathy screening system based on color fundus image," BioMedical Engineering OnLine, vol. 16, pp. 122-1-122-19, 2017.

Scopus Eid


  • 2-s2.0-85032192165

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1746&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/745

Start Page


  • 122-1

End Page


  • 122-19

Volume


  • 16

Place Of Publication


  • United Kingdom