Abstract
Assessment of the left atrial (LA) wall can provide valuable information for treatment of atrial fibrillation (AF) patients. In this work, we propose a fully automatic workflow to segment the atrial wall from contrast-enhanced CT angiography (CTA). The workflow consists of 3 steps: (1) global segmentation of LA by multi-atlas image registration approach, (2) selected enhancement of the atrial wall by nonlinear intensity transformation, (3) segmentation of the inner and outer boundary of atrial wall by level-set approach.
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References
De Vos, W., Casselman, J., Swennen, G.: Cone-beam computerized tomography imaging of the oral and maxillofacial region: a systematic review of the literature. Int. J. Oral Maxillofac. Surg. 38, 609–625 (2009)
Klein, S., Staring, M., Murphy, K., Viergever, M., Pluim, J.: Elastix: a toolbox for intensity-based medical image registration. IEEE Trans. Med. Imaging 29, 196–205 (2010)
Marrouche, N., Wilber, D., Hindricks, G., Jais, P., Akoum, N., Marchlinski, F., Kholmovski, E., Burgon, N., Hu, N., Mont, L., Deneke, T., Duytschaever, M., Neumann, T., Mansour, M., Mahnkopf, C., Herweg, B., Daoud, E., Wissner, E., Bansmann, P., Brachmann, J.: Association of atrial tissue fibrosis identified by delayed enhancement MRI and atrial fibrillation catheter ablation: the DECAAF study. JAMA 11, 85–92 (2014)
Osher, S., Sethian, J.: Fronts propagating with curvature dependent speed: algorithms based on Hamilton-Jacobi formulations. J. Comput. Phys. 28, 907–922 (1988)
Prystowsky, E., Benson, D.J., Fuster, V., Hart, R., Kay, G., Myerburg, R., Naccarelli, G., Wyse, D.: Management of patients with atrial fibrillation. A statement for healthcare professionals. From the subcommittee on electrocardiography and electrophysiology, American heart association. Circulation 93, 1262–1277 (1996)
Tao, Q., Ipek, E., Shahzad, R., Berendsen, F., Nazarian, S., van der Geest, R.: Fully automatic segmentation of left atrium and pulmonary veins in late gadolinium-enhanced MRI: towards objective atrial scar assessment. J. Magn. Reson. Imaging 44(2), 346–354 (2016)
Zhang, Y., Matuszewski, B.J., Shark, L.K., Moore, C.J.: Medical image segmentation using new hybrid level-set method. In: Proceedings of the 2008 Fifth International Conference BioMedical Visualization: Information Visualization in Medical and Biomedical Informatics. MEDIVIS 2008, pp. 71–76. IEEE Computer Society, Washington, DC (2008)
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The authors gratefully acknowledge the support from the Dutch Technology Foundation, with grant number OTP12899.
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Tao, Q., Shahzad, R., Berendsen, F.F., van der Geest, R.J. (2017). Automatic Left Atrial Wall Segmentation from Contrast-Enhanced CT Angiography Images. In: Mansi, T., McLeod, K., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2016. Lecture Notes in Computer Science(), vol 10124. Springer, Cham. https://doi.org/10.1007/978-3-319-52718-5_24
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DOI: https://doi.org/10.1007/978-3-319-52718-5_24
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