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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics


  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 7, Iss. 7 — Jun. 25, 2012

Three-dimensional reconstruction of blood vessels extracted from retinal fundus images

M. Elena Martinez-Perez and Arturo Espinosa-Romero  »View Author Affiliations

Optics Express, Vol. 20, Issue 10, pp. 11451-11465 (2012)

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We present a 3D reconstruction of retinal blood vessel trees using two views of fundus images. The problem is addressed by using well known computer vision techniques which consider: 1) The recovery of camera-eyeball model parameters by an auto-calibration method. The camera parameters are found via the solution of simplified Kruppa equations, based on correspondences found by a LMedS optimisation correlation between pairs of eight different views. 2) The extraction of blood vessels and skeletons from two fundus images. 3) The matching of corresponding points of the two skeleton trees. The trees are previously labelled during the analysis of 2D binary images. Finally, 4) the lineal triangulation of matched correspondence points and the surface modelling via generalised cylinders using diameter measurements extracted from the 2D binary images. The method is nearly automatic and it is tested with 2 sets of 10 fundus retinal images, each one taken from different subjects. Results of 3D vein and artery trees reconstructions are shown.

© 2012 OSA

OCIS Codes
(100.2000) Image processing : Digital image processing
(150.0150) Machine vision : Machine vision
(170.3010) Medical optics and biotechnology : Image reconstruction techniques
(170.4470) Medical optics and biotechnology : Ophthalmology

ToC Category:
Medical Optics and Biotechnology

Original Manuscript: November 16, 2011
Revised Manuscript: March 5, 2012
Manuscript Accepted: March 6, 2012
Published: May 4, 2012

Virtual Issues
Vol. 7, Iss. 7 Virtual Journal for Biomedical Optics

M. Elena Martinez-Perez and Arturo Espinosa-Romero, "Three-dimensional reconstruction of blood vessels extracted from retinal fundus images," Opt. Express 20, 11451-11465 (2012)

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