@article{(Open Science Index):https://publications.waset.org/pdf/3093,
	  title     = {Automatic 3D Reconstruction of Coronary Artery Centerlines from Monoplane X-ray Angiogram Images},
	  author    = {Ali Zifan and Panos Liatsis and  Panagiotis Kantartzis and 
Manolis Gavaises and  Nicos Karcanias and  Demosthenes Katritsis},
	  country	= {},
	  institution	= {},
	  abstract     = {We present a new method for the fully automatic 3D
reconstruction of the coronary artery centerlines, using two X-ray
angiogram projection images from a single rotating monoplane
acquisition system. During the first stage, the input images are
smoothed using curve evolution techniques. Next, a simple yet
efficient multiscale method, based on the information of the Hessian
matrix, for the enhancement of the vascular structure is introduced.
Hysteresis thresholding using different image quantiles, is used to
threshold the arteries. This stage is followed by a thinning procedure
to extract the centerlines. The resulting skeleton image is then pruned
using morphological and pattern recognition techniques to remove
non-vessel like structures. Finally, edge-based stereo correspondence
is solved using a parallel evolutionary optimization method based on
f symbiosis. The detected 2D centerlines combined with disparity
map information allow the reconstruction of the 3D vessel
centerlines. The proposed method has been evaluated on patient data
sets for evaluation purposes.},
	    journal   = {International Journal of Medical and Health Sciences},
	  volume    = {2},
	  number    = {3},
	  year      = {2008},
	  pages     = {105 - 110},
	  ee        = {https://publications.waset.org/pdf/3093},
	  url   	= {https://publications.waset.org/vol/15},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 15, 2008},
	}