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

  • D. Liu
  • N. B. Wood
  • X. Y. Xu
  • N. Witt
  • A. D. Hughes
  • Thom SAMcG

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.

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References

  1. 1.
    Dick A, Torr P, Cipolla R (2000) Automatic 3d modelling of architecture. In: Proceedings of 11th British Machine Vision Conference (BMVC'00), Bristol, pp 372–381.Google Scholar
  2. 2.
    Fusiello A (2001) A new autocalibration algorithm: experimental evaluation. Computer analysis of Images and Patterns 2001, Lecture Notes in Computer Science 2124: 717–724.CrossRefGoogle Scholar
  3. 3.
    Hartley RI (1997) In defense of the eight-point algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence 19: 580–595.CrossRefGoogle Scholar
  4. 4.
    Hartley RI, Sturm P (1997) Triangulation. Computer Vision and Image Understanding 68(2): 146–157.CrossRefGoogle Scholar
  5. 5.
    Hartley R, Zisserman A (2003) Multiple View Geometry in Computer Vision. Cambridge: Cambridge University Press.Google Scholar
  6. 6.
    Kai Z, Xu X, Zhang L, Wang GP (2005) Stereo matching and 3-D reconstruction for optic disk images. CVBIA, LNCS 3765: 517–525.Google Scholar
  7. 7.
    Liu Y, Wu YX, Wu MP, Hu XP (2004) Planar vanishing points based camera calibration. In: Proceedings of the Third International Conference on Image and Graphics (ICIG'04), Hong Kong, China, pp 460–463.Google Scholar
  8. 8.
    Martinez-Perez ME, Hughes AD, Stanton AV, Thom SA, Chapman N, Bharath AA, Parker KH (2002) Retinal vascular tree morphology: a semi-automatic quantification. IEEE Transactions on Biomedical Engineering 49(8): 912–917.CrossRefGoogle Scholar
  9. 9.
    Espinosa-Romero A, Martinez-Perez ME (2005) Optical 3D reconstruction of retinal blood vessels from a sequence of views. In: Proceedings of SPIE 5776, Merida, Mexico, pp 605–612.CrossRefGoogle Scholar
  10. 10.
    Masters B (2004) Fractal analysis of the vascular tree in the human retina. Annual Review of Biomedical Engineering 6: 427–452.CrossRefGoogle Scholar
  11. 11.
    Mendonca PRS, Cipolla R (1999) A simple technique for self-calibration. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Fort Collins, Colorado, pp 500–505.Google Scholar
  12. 12.
    Stanton AV, Wasan B, Cerutti A, Ford S, Marsh R, Sever PP, Thom SA, Hughes AD (1995) Vascular network changes in the retina with age and hypertension. Journal of Hypertension 13:1724–1728.CrossRefGoogle Scholar
  13. 13.
    Wong TY, McIntosh R (2005) Systemic associations of retinal microvascular signs: a review of recent population-based studies. Ophthalmic and Physiological Optics 25: 195–204.CrossRefGoogle Scholar
  14. 14.
    Xu J, Chutatape O (2003) Comparative study of two calibration methods on fundus camera. In: Proceedings of the 25 Annual International Conference of the IEEE EMBS, Cancun, Mexico, pp 17–21.Google Scholar
  15. v.
    Xu J, Chutatape O (2006) Auto-adjusted 3D optic disk viewing from low-resolution stereo fundus image. Computers in Biology and Medicine 36: 921–940.CrossRefGoogle Scholar
  16. 16.
    Zhang Z (1999) Flexible camera calibration by viewing a plane from unknown orientations. In: Proceedings of the International Conference on Computer Vision, Corfu, Greece, pp 666–673.CrossRefGoogle Scholar

Copyright information

© Springer Science +Business Media B.V. 2009

Authors and Affiliations

  • D. Liu
    • 1
  • N. B. Wood
    • 1
  • X. Y. Xu
    • 1
  • N. Witt
    • 2
  • A. D. Hughes
    • 2
  • Thom SAMcG
    • 2
  1. 1.Department of Chemical EngineeringImperial College LondonUK
  2. 2.International Centre for Circulatory HealthImperial College LondonUK

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