2010
Segmentation of the outer vessel wall of the common carotid artery in CTA
Publication
Publication
IEEE Transactions on Medical Imaging , Volume 29 - Issue 1 p. 65- 76
A novel method is presented for carotid artery vessel wall segmentation in computed tomography angiography (CTA) data. First the carotid lumen is semi-automatically segmented using a level set approach initialized with three seed points. Subsequently, calcium regions located within the vessel wall are automatically detected and classified using multiple features in a GentleBoost framework. Calcium regions segmentation is used to improve localization of the outer vessel wall because it is an easier task than direct outer vessel wall segmentation. In a third step, pixels outside the lumen area are classified as vessel wall or background, using the same GentleBoost framework with a different set of image features. Finally, a 2-D ellipse shape deformable model is fitted to a cost image derived from both the calcium and vessel wall classifications. The method has been validated on a dataset of 60 CTA images. The experimental results show that the accuracy of the method is comparable to the interobserver variability.
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| doi.org/10.1109/TMI.2009.2025702, hdl.handle.net/1765/73210 | |
| IEEE Transactions on Medical Imaging | |
| Organisation | Department of Medical Informatics |
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Vukadinovic, D., van Walsum, T., Manniesing, R., Rozie, S., Hameeteman, R., de Weert, T., … Niessen, W. (2010). Segmentation of the outer vessel wall of the common carotid artery in CTA. IEEE Transactions on Medical Imaging, 29(1), 65–76. doi:10.1109/TMI.2009.2025702 |
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