Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images

  • José Ignacio OrlandoEmail author
  • João Barbosa Breda
  • Karel van Keer
  • Matthew B. Blaschko
  • Pablo J. Blanco
  • Carlos A. Bulant
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11071)


Glaucoma is the leading cause of irreversible but preventable blindness in the world. Its major treatable risk factor is the intra-ocular pressure, although other biomarkers are being explored to improve the understanding of the pathophysiology of the disease. It has been recently observed that glaucoma induces changes in the ocular hemodynamics. However, its effects on the functional behavior of the retinal arterioles have not been studied yet. In this paper we propose a first approach for characterizing those changes using computational hemodynamics. The retinal blood flow is simulated using a 0D model for a steady, incompressible non Newtonian fluid in rigid domains. The simulation is performed on patient-specific arterial trees extracted from fundus images. We also propose a novel feature representation technique to comprise the outcomes of the simulation stage into a fixed length feature vector that can be used for classification studies. Our experiments on a new database of fundus images show that our approach is able to capture representative changes in the hemodynamics of glaucomatous patients. Code and data are publicly available in



This work is funded by ANPCyT PICTs 2016-0116 and start-up 2015-0006, FWO G0A2716N, WWTF VRG12-009 and a NVIDIA Hardware Grant. JIO is now with OPTIMA, Medical University of Vienna, Austria.

Supplementary material

473975_1_En_8_MOESM1_ESM.pdf (377 kb)
Supplementary material 1 (pdf 376 KB)


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • José Ignacio Orlando
    • 1
    Email author
  • João Barbosa Breda
    • 2
  • Karel van Keer
    • 2
  • Matthew B. Blaschko
    • 3
  • Pablo J. Blanco
    • 4
  • Carlos A. Bulant
    • 1
  1. 1.CONICET - Pladema InstituteUNICENTandilArgentina
  2. 2.Research Group OphthalmologyKU LeuvenLeuvenBelgium
  3. 3.ESAT-PSIKU LeuvenLeuvenBelgium
  4. 4.National Laboratory for Scientific ComputingLNCC/MCTICPetrópolisBrazil

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