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Robust detection of microaneurysms for sight threatening retinopathy screening

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Bhalerao, Abhir, Patanaik, Amiya, Anand, Sarabjot Singh and Saravanan, Ponnusamy (2008) Robust detection of microaneurysms for sight threatening retinopathy screening. In: 6th Indian Conference on Computer Vision, Graphics and Image Processing, Bhubaneswar, India, Dec 16-19 2008. Published in: Sixth Indian Conference on Computer Vision, Graphics & Image Processing, ICVGIP 2008 pp. 520-527.

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Official URL: http://dx.doi.org/10.1109/ICVGIP.2008.25

Abstract

Diabetic retinopathy is one of the major causes of blindness. However diabetic retinopathy does not usually cause a loss of sight until it has reached an advanced stage. The earliest sign of the disease are microaneurysms (MA) which appear as small red dots on retinal fundus images. Various screening programmes have been established in the UK and other countries to collect and assess images on a regular basis, especially in the diabetic population. A considerable amount of time and money is spent in manually grading these images, a large percentage of which are normal. By automatically identifying the normal images, the manual workload and costs could be reduced greatly while increasing the effectiveness of the screening programmes. A novel method of microaneurysm detection from digital retinal screening images is proposed. It is based on filtering using complex-valued circular-symmetric filters, and an eigen-image, morphological analysis of the candidate regions to reduce the false-positive rate. We detail the image processing algorithms and present results on a typical set of 89 image from a published database. Our method is shown to have a best operating sensitivity of 82.6% at a specificity of 80.2% which makes it viable for screening. We discuss the results in the context of a model of visual search and the ROC curves that it can predict.

Item Type:

Conference Item (Paper)

Subjects:

Q Science > QA Mathematics
R Medicine > RC Internal medicine
R Medicine > RE Ophthalmology

Divisions:

Faculty of Science > Computer Science

Library of Congress Subject Headings (LCSH):

Diabetic retinopathy, Aneurysms, Retina -- Imaging, Medical screening

Journal or Publication Title:

Sixth Indian Conference on Computer Vision, Graphics & Image Processing, ICVGIP 2008

Publisher:

IEEE Computer Society

ISBN:

9781424442195

Official Date:

2008

Dates:

Date	Date Type
2008	Published

Number of Pages:

Page Range:

pp. 520-527

Identification Number:

10.1109/ICVGIP.2008.25

Status:

Not Peer Reviewed

Publication Status:

Published

Access rights to Published version:

Restricted or Subscription Access

Conference Paper Type:

Paper

Title of Event:

6th Indian Conference on Computer Vision, Graphics and Image Processing

Type of Event:

Conference

Location of Event:

Bhubaneswar, India

Date(s) of Event:

Dec 16-19 2008

Related URLs:

Organisation

References:

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M. A. Viergever, S. R. Russell, and B. van Ginneken. Evalution of a System for Automatic Detection of Diabetic
Retinopathy from Color Fundus Photographs in a Large Population of Patients With Diabetes. Diabetes Care, 31:193–198, 2008.
[3] D. P. Chakraborty. ROC curves predicted by a model of visual search. Physics in Medicine and Biology, 51(14):3463–3482, 2006.
[4] J. Evans, C. Rooney, S. Ashgood, N. Dattan, and
R. Worlmald. Blindness and partial sight in England and
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1996.
[5] A. D. Fleming, S. Philip, K. A. Goatman, J. A. Olson, and
P. F. Sharp. Automated Microaneurysm Detection Using
Local Contrast Normalization and Local Vessel Detection.
IEEE Transactions on Medical Imaging, 25(9):1123–1232,
2006.
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[8] H. Narashimha-Iyer, A. Can, B. Roysam, C. V. Stewart, H. L. Tenenbaum, A. Majerovics, and H. Singh. Robust Detection and Classification of Longitudinal Changes in Color Retinal Fundus Images for Monitoring Diabetic Retinopathy. IEEE Transactions on Biomedical Engineering, 53(6):1084–1098, 2006.
[9] S. Philip, A. D. Fleming, K. A. Goatman, S. Foneseca, P. Mcnamee, G. S. Scotland, G. J. Prescott, P. F. Sharpe, and J. A. Olson. The efficacy of automated “disease/non disease” grading for diabetic retinopathy in a systematic screening programme. British Journal of Ophthalmology, 91:1512–1517, 2007.
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