Oksuz, Ilkay and Unay, Devrim and Kadipasaoglu, Kamuran Region growing on frangi vesselness values in 3-D CTA data. In: Proceedings of the 21st Signal Processing and Communications Applications Conference (SIU). IEEE, pp. 1-4. ISBN 978-1-4673-5561-2 (2013)Full text not available from this repository.
In cardiac related diagnostic methods, the shape and curvature of coronary arteries is essential. Consequently, one of the most important requirements for Computer Aided Diagnosis (CAD) Systems is automated segmentation of vasculature. In this paper, we propose a new hybrid algorithm, which segment the coronary arterial tree in CTA images by merging methodologies-, namely, Region Growing and Frangi Approach. The algorithm first runs a region growing on Frangi vesselness values and subsequently optimizes the results with several threshold values. Comparison of the present results with optimal results of existing segmentation algorithms reveals that the proposed approach outperforms its predecessors. The diagnostic accuracy of the algorithm will next be validated on the segmentation of coronary arteries from real CT data.
|Item Type:||Book Section|
|Additional Information:||21st Signal Processing and Communications Applications Conference (SIU), Haspolat, Cypros, 24-26 April 2013|
|Uncontrolled Keywords:||Coronary Arteries; Frangi Vesselness; Medical Image Processing; Region Growing; Vessel Segmentation|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine
|Research Area:||Computer Science and Applications|
|Depositing User:||Ms T. Iannizzi|
|Date Deposited:||03 Jul 2014 10:00|
|Last Modified:||03 Jul 2014 10:00|
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