You are in:Home/Publications/Malek J, Azar AT (2016) 3D Surface Reconstruction of Retinal Vascular Structures. International Journal of Modelling, Identification and Control (IJMIC), 26(4): 303-316.

Dr. Assoc. Prof. Ahmad Taher Azar :: Publications:

Title:
Malek J, Azar AT (2016) 3D Surface Reconstruction of Retinal Vascular Structures. International Journal of Modelling, Identification and Control (IJMIC), 26(4): 303-316.
Authors: Not Available
Year: 2016
Keywords: Not Available
Journal: International Journal of Modelling, Identification and Control
Volume: 26
Issue: 4
Pages: 303-316
Publisher: Inderscience Enterprises Ltd.
Local/International: International
Paper Link: Not Available
Full paper Not Available
Supplementary materials Not Available
Abstract:

We propose in this paper, a three-dimensional surface reconstruction of a retinal vascular network from a pair of 2D retinal images. Our approach attempts to address the above challenges by incorporating an epipolar geometry estimation and adaptive surface modelling in a 3D reconstruction, using three steps: segmentation, 3D skeleton reconstruction and 3D surface modelling of vascular structures. The intrinsic calibration matrices are found via the solution of simplified Kruppa equations. A simple essential matrix based on a self-calibration method has been used for the fundus camera-eye system. The used method has eventually produced vessel surfaces that could be fit for various applications, such as applications for computational fluid dynamics simulations and applications for real-time virtual interventional.

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