Model-based detection of tubular structures in 3D images
Computer Vision and Image Understanding
A review of vessel extraction techniques and algorithms
ACM Computing Surveys (CSUR)
Improved Direct Volume Visualization of the Coronary Arteries Using Fused Segmented Regions
DICTA '05 Proceedings of the Digital Image Computing on Techniques and Applications
A novel robust tube detection filter for 3d centerline extraction
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
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Multi-slice spiral computed tomography angiography (MSCTA) is emerging as a clinically robust modality for diagnosis and surgical planning for coronary heart disease. To enable these tasks the coronary arteries must be segmented and visualised. This paper proposes the use of an improved tracking-based algorithm for segmenting the coronary artery network. The segmentation results are coupled with direct volume rendering allowing for the 3-D visualisation of the degree of stenosis. We represent vessels using a generalised-cylinder model, which facilitates fast segmentation and the visualisation of vessel cross-sectional area. A number of synthetic and in vivo datasets are used to validate and demonstrate the approach.