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Advances in Computational Vision and Medical Image Processing

Volume 13 of the series Computational Methods in Applied Sciences pp 187-201

3D Reconstruction of the Retinal Arterial Tree Using Subject-Specific Fundus Images

  • D. LiuAffiliated withDepartment of Chemical Engineering, Imperial College London
  • , N. B. WoodAffiliated withDepartment of Chemical Engineering, Imperial College London
  • , X. Y. XuAffiliated withDepartment of Chemical Engineering, Imperial College London
  • , N. WittAffiliated withInternational Centre for Circulatory Health, Imperial College London
  • , A. D. HughesAffiliated withInternational Centre for Circulatory Health, Imperial College London
  • , Thom SAMcGAffiliated withInternational Centre for Circulatory Health, Imperial College London

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Abstract

Systemic diseases, such as hypertension and diabetes, are associated with changes in the retinal microvasculature. Although a number of studies have been performed on the quantitative assessment of the geometrical patterns of the retinal vasculature, previous work has been confined to 2 dimensional (2D) analyses. In this paper, we present an approach to obtain a 3D reconstruction of the retinal arteries from a pair of 2D retinal images acquired in vivo. A simple essential matrix based self-calibration approach was employed for the “fundus camera-eye” system. Vessel segmentation was performed using a semi-automatic approach and correspondence between points from different images was calculated. The results of 3D reconstruction show the centreline of retinal vessels and their 3D curvature clearly. Three-dimensional reconstruction of the retinal vessels is feasible and may be useful in future studies of the retinal vasculature in disease.