Research Articles
Visual alignment of arteries in coronary cine-angiogram using global motion stabilisation approach
Authors:
KASH Kulathilake ,
LK
About KASH
Department of Information Technology, Faculty of Information Technology, University of Moratuwa, Moratuwa.
L Ranathunga,
LK
About L
Department of Information Technology, Faculty of Information Technology, University of Moratuwa, Moratuwa.
GR Constantine,
LK
About GR
Department of Clinical Medicine, Faculty of Medicine, University of Colombo, PO. Box 271, No. 25, Kynsey Road, Colombo 08.
NA Abdullah
MY
About NA
Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Abstract
Coronary cine-angiogram (CCA) is an invasive medical image modality, which is used to detect stenosis in coronary arteries (CA). Global motion that occurs due to the heart beat is a major obstruction to visually track correlated arterial flow within CCAs. This study devises a novel method to align the main CA visualised among the CCA frames using global motion stabilisation. In order to stabilise the global motion artifact, motion vectors are calculated through improved template matching technique, which is introduced in this study to match a given CA template with the CCA frame that contains deformed CA tree. The accuracy of the proposed content alignment method was reported as 97.45 %. The content aligned global motion stabilised CCA is produced as the output of this study and those CCAs can be used to further enhance the angiography image modality, to determine the functional significance of CA to assess the severity level of the detected stenosis.
How to Cite:
Kulathilake, K. et al., (2017). Visual alignment of arteries in coronary cine-angiogram using global motion stabilisation approach. Journal of the National Science Foundation of Sri Lanka. 45(1), pp.41–51. DOI: http://doi.org/10.4038/jnsfsr.v45i1.8037
Published on
24 Mar 2017.
Peer Reviewed
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