Coronary artery vessel tree enhancement in three-dimensional computed tomography angiography

Shams M. ; Hamad S. ; Salem M. ; Salem M. ; Shedeed H. 


Abstract


Coronary artery segmentation in 3D images is a fundamental step in evaluating the degree of Coronary Artery Disease (CAD) in cardiac clinical diagnosis and surgical planning. In this paper, we study the effect of vessel filtering and enhancement on coronary artery segmentation from Computed Tomography Angiography (CTA) datasets. The method mainly consists of two steps: (1) CTA datasets enhancement using Hessian-based analysis; and (2) coronary vessels segmentation in enhanced images using Otsu thresholding. The experiments are carried on 18 different CTA datasets and segmentation results of enhanced and non-enhanced datasets are quantitatively measured and compared using three different evaluation metrics. Experimental results show that segmenting coronary vessels in enhanced CTA images gives more accurate extraction of coronary arteries than non-enhanced images.


Other data

Issue Date 1-Jan-2018
Publisher © 2018, Springer International Publishing AG.
Journal Advances in Intelligent Systems and Computing 
URI http://research.asu.edu.eg/123456789/134
ISBN 9783319648606
DOI http://api.elsevier.com/content/abstract/scopus_id/85029473856
270
639
10.1007/978-3-319-64861-3_25


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