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Detection of microaneurysms and hemorrhages based on improved Hessian matrix

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

Knowing the early lesion detection of fundus images is very important to prevent blindness, and accurate lesion segmentation can provide doctors with diagnostic evidence. This study proposes a method based on improved Hessian matrix eigenvalue analysis to detect microaneurysms and hemorrhages in the fundus images of diabetic patients.

Methods

A two-step method including identification of lesion candidate regions and classification of candidate regions is adopted. In the first step, the method of eigenvalue analysis based on the improved hessian matrix was applied to enhance the image preprocessed. A dual-threshold method was used for segmentation. Then, blood vessels were gradually removed to obtain the lesion candidate regions. In the second step, all candidates were classified into three categories: microaneurysms, hemorrhages and the others.

Results

The proposed method has achieved a better performance compared with the existing algorithms on accuracy rates. The classification accuracy rates of microaneurysms and hemorrhages obtained by using our method were 94.4% and 94.0%, respectively, while the classification accuracy rates obtained by using Frangi’s filter based on the Hessian matrix to enhance the image were 90.9% and 92.1%.

Conclusion

This study demonstrated a methodology for enhancing images by using eigenvalue analysis based on the improved Hessian matrix and segmentation by using double thresholds. The proposed method is beneficial to improve the detection accuracy of microaneurysms and hemorrhages in fundus images.

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Authors and Affiliations

  1. School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

    Linying Yang, Shiju Yan & Yuanzhi Xie

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  1. Linying Yang
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  2. Shiju Yan
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  3. Yuanzhi Xie
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Correspondence to Shiju Yan.

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Yang, L., Yan, S. & Xie, Y. Detection of microaneurysms and hemorrhages based on improved Hessian matrix. Int J CARS 16, 883–894 (2021). https://doi.org/10.1007/s11548-021-02358-5

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  • DOI: https://doi.org/10.1007/s11548-021-02358-5

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