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Accurate and efficient optic disc detection and segmentation by a circular transformation.

¹Institute for Infocomm Research, A*STAR, 138632 Singapore. slu@i2r.a-star.edu.sg

IEEE Transactions on Medical Imaging

|August 17, 2011

Summary

This study introduces a fast and accurate method for optic disc (OD) detection and segmentation in retinal images using circular transformations. The technique achieves high accuracy and outperforms existing methods, especially on degraded images.

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Doppler Optical Coherence Tomography of Retinal Circulation

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Area of Science:

Ophthalmology
Medical Imaging
Computer-Aided Diagnosis

Background:

Accurate optic disc (OD) detection and segmentation are crucial for diagnosing various retinal diseases.
Existing methods struggle with image variations and degraded retinal images.

Purpose of the Study:

To develop an accurate and efficient computer-aided diagnosis technique for optic disc (OD) detection and segmentation.
To improve upon the limitations of current state-of-the-art methods in terms of accuracy, speed, and handling of challenging images.

Main Methods:

A novel circular transformation is employed to capture the OD's circular shape and boundary variations.
Image variation is evaluated along radial line segments for each pixel to locate the OD center and boundary.
The technique processes retinal images for accurate OD localization and segmentation.

Main Results:

Achieved OD detection accuracies of 99.75% (STARE), 97.5% (ARIA), and 98.77% (MESSIDOR).
Demonstrated significantly reduced OD center error (around 6 pixels) compared to state-of-the-art methods (14-29 pixels).
Obtained OD segmentation accuracies of 93.4% (STARE) and 91.7% (ARIA), effectively handling degraded pathological images.

Conclusions:

The proposed circular transformation method provides accurate and efficient optic disc detection and segmentation.
This technique offers superior performance, particularly for challenging retinal images, and is computationally faster than existing approaches.
The method holds promise for improving computer-aided diagnosis systems in ophthalmology.