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Geometrical and Morphological Analysis of Vascular Branches from Fundus Retinal Images

  • M. Elena Martínez-Pérez
  • Alun D. Hughes
  • Alice V. Stanton
  • Simon A. Thom
  • Neil Chapman
  • Anil A. Bharath
  • Kim H. Parker
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1935)

Abstract

A semi-automatic method to measure and quantify geometrical and topological properties of complete vascular trees in fundus images is described. The method is validated by comparing automatic vs. manual measurements in 17 individual bifurcations. We also compared automatic analyses of complete vascular trees from 4 pairs of red-free and fluorescein images. Preliminary results comparing 10 hypertensive and 10 normotensive subjects show changes in geometrical properties similar to those reported in previous studies. Several topological indices show differences in the arterial, but not venous, trees in hypertensive subjects. This suggests that a combination of geometrical and topological measurements of the whole vascular network may provide more sensitive indicators of morphological changes due to diseases.

Keywords

Bifurcation Point Topological Index Parent Vessel Fundus Image Hypertensive Group 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • M. Elena Martínez-Pérez
    • 1
  • Alun D. Hughes
    • 2
  • Alice V. Stanton
    • 2
  • Simon A. Thom
    • 2
  • Neil Chapman
    • 2
  • Anil A. Bharath
    • 1
  • Kim H. Parker
    • 1
  1. 1.Department of Biological and Medical SystemsImperial College of Science, Technology and MedicineLondonUK
  2. 2.Department of Clinical Pharmacology, NHLIImperial College of Science, Technology and Medicine, St Mary’s HospitalLondonUK

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