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Updated: Jun 6, 2026

Doppler Optical Coherence Tomography of Retinal Circulation
10:46

Doppler Optical Coherence Tomography of Retinal Circulation

Published on: September 18, 2012

An improved gradient vector flow algorithm for optic disc segmentation.

Huiyu Zhou1, Gerald Schaefer, Tangwei Liu

  • 1The Institute of Electronics, Communications and Information Technology (ECIT), Queen's University Belfast, United Kingdom.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|November 25, 2010
PubMed
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Accurate optic disc segmentation is crucial for diagnosing eye diseases. Incorporating a mean shift term into gradient vector flow (GVF) algorithms improves segmentation accuracy in retinal images.

Area of Science:

  • Ophthalmology and Medical Imaging
  • Computer Vision and Image Analysis

Background:

  • The optic disc is a key anatomical landmark for diagnosing retinopathic diseases.
  • Accurate segmentation of the optic disc is essential for quantitative analysis of retinal images.
  • Existing Gradient Vector Flow (GVF) segmentation methods can exhibit limitations in accuracy due to energy force compromises.

Purpose of the Study:

  • To enhance the accuracy of optic disc segmentation in retinal images.
  • To improve upon traditional Gradient Vector Flow (GVF) segmentation techniques.
  • To introduce a novel segmentation approach by integrating a mean shift term into the GVF framework.

Main Methods:

  • Development of a modified Gradient Vector Flow (GVF) segmentation algorithm.
  • Incorporation of a mean shift term to refine the GVF energy function.

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  • Validation using a large dataset of diverse retinal images.

    • Main Results:

    • The proposed method demonstrates improved segmentation accuracy for the optic disc.
    • Experimental results confirm reliable detection of the optic disc border.
    • The enhanced GVF framework overcomes limitations of standard GVF in specific cases.

    Conclusions:

    • The integration of a mean shift term into the GVF framework significantly improves optic disc segmentation accuracy.
    • This enhanced method offers a reliable tool for the analysis of retinal images.
    • The findings contribute to more precise diagnosis of retinopathic diseases through automated image analysis.