Abstract—The Coronary Cineangiogram (CCA) is an
invasive medical image modality which is used to determine the
stenosis in the Coronary Arteries. The global motion occurring
due to the heart beat makes great disturbance to obtain the
visual alignment among the vessel structure shown in the CCA
frames. Therefore, the recorded vessel structure’s position in
CCA varies within the frame sequence. This paper describes a
hierarchical region based template matching technique to
reconstruct the CCA by reducing the global motion artifacts.
This proposed motion reduction technique is efficient and it
reconstructs the CCA by reducing the background motion as
desired. Experimental results of this method have shown its’
ability to maintain the visual alignment of the internal blood
flow among the frames.
Index Terms—Angiography, computer aided diagnosis,
image motion analysis, medical diagnostic imaging component.
K. A. S. H. Kulathilake and L. Ranathunga are with the Department of
Information Technology, University of Moratuwa, Moratuwa, Sri Lanka
(e-mail: hemanthak@uom.lk, lochandaka@uom.lk).
G. R. Constantine is with the Department of Clinical Medicine, Faculty of
Medicine, P.O. Box 271, No 25, Kynsey Road, Colombo 08, Sri Lanka
(e-mail: godwinconstantine@live.com).
N. A. Abdullah is with the Department of Computer System and
Technology, Faculty of Computer Science & Information Technology
Building, University of Malaya, 50603 Kuala Lumpur, Malaysia (e-mail:
noraniza@um.edu.my).
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Cite: K. A. S. H. Kulathilake, L. Ranathunga, G. R. Constantine, and N. A. Abdullah, "Hierarchical Region Based Template Matching Technique for Global Motion Reduction of Coronary Cineangiograms," International Journal of Computer Theory and Engineering vol. 7, no. 2, pp. 156-161, 2015.
