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Region growing segmentation method for extracting vessel structures from Coronary Cine-angiograms

Show simple item record Kulathilake, KASH Ranathunga, L Constantine, GR Abdullah, NA 2018-09-19T21:08:08Z 2018-09-19T21:08:08Z
dc.description.abstract The coronary cine-angiogram (CCA) is an invasive medical image modality which is used to determine the luminal obstructions or stenosis in the Coronary Arteries (CA). CCA based quantitative assessment of vascular morphology is a demanding area in medical diagnosis and segmentation of blood vessels in CCAs is one of the mandatory step in this endeavor.The accurate segmentation of CAs in Angiogram is a challenging task due to various reported reasons. In order to overcome this challenge, we proposed a region growing segmentation method which implements using morphological image processing operations and flood fill method. It can extract the boundary of main CA visualized in the processed CCA completely. The result of the proposed method reveals that this proposed segmentation method possesses 90.89% accuracy to segment the CAs related to the selected Angiography views. This segmentation results can be further enhanced to determine the functional severity of the CA and this study laid the foundation to improve the Angiography based diagnosis technique. en_US
dc.language.iso en en_US
dc.subject angiography, computer aided diagnosis, vessel segmentations, morphological image processing, medical diagnostic imaging en_US
dc.title Region growing segmentation method for extracting vessel structures from Coronary Cine-angiograms en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty IT en_US
dc.identifier.department Department of Information Technology en_US
dc.identifier.year 2015 en_US
dc.identifier.conference Moratuwa Engineering Research Conference - MERCon 2015 en_US Moratuwa, Sri Lanka en_US en_US en_US en_US en_US

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