@article {10.3844/jcssp.2010.1485.1489,
article_type = {journal},
title = {Three Dimension Reconstruction of Coronary Artery Tree Using Single-View Cineangiogram},
author = {Khalil, Hassan H. and Rahmat, Rahmita O.K. and Zamrin, D. M. and Mahmod, Ramlan and Mustapha, Norwati},
volume = {6},
number = {12},
year = {2010},
month = {Nov},
pages = {1485-1489},
doi = {10.3844/jcssp.2010.1485.1489},
url = {https://thescipub.com/abstract/jcssp.2010.1485.1489},
abstract = {Problem statement: Whereas most of the conventional techniques propose using multiview
cineangiograms to reconstruct 3D objects this article proposes to integrate a Three Dimension
(3D) model of the coronary artery tree using a standard single-view cineangiogram. Splitting the
cineangiograms into non-sequenced and different angle views is how the data is supplied in this
method. Each single view can be used to reconstruct a robust 3D model of the coronary artery from
that angle of view. Although the dynamic variations of blood vessels curvature have been difficult to
study in Two Dimension (2D) angiograms, there is both experimental and clinical evidence showing
that 3D coronary reconstruction is very useful for surgery planning and clinical study. Approach: The
algorithm has three stages. The first stage is the vessel extraction and labeling for each view for the
purpose of constructing the 3D model, while in the second stage, the vessels information (x, y and z)
will be saved in a data file to be forwarded to the next stage. Finally, we input the x, y and z of a
specific coronary artery tree to the OPENGL library included in the software, which we developed and
called Fast 3D (F3D) and which is displayed in R3. Results: Experimental evaluation has been done to
clinical raw data sets where the experimental results revealed that the proposed algorithm has a robust
3D output. Conclusion: Results showed that our proposed algorithm has high robustness for a variety
of image resolutions and voxel anisotropy.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}