Abstract
This paper presents a multi-atlas segmentation approach concerning the left atrium and pulmonary veins in pre-operative CT images in order to plan ablation therapy in patients with atrial fibrillation. The segmentation procedure is composed of an atlas-based segmentation followed by a region-growing method. The atlas-based segmentation step exploits the a priori knowledge of existing structures to extract the inner region of the left atrium. The output of the atlas-based segmentation is then eroded to be used as seed volume in the region-growing procedure. This step adds new voxels according to a criterion which uses the intensity information of the input image.
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References
Cox, J.: Atrial fibrillation II: Rationale for surgical treatment. The Journal of Thoracic and Cardiovascular Surgery 126, 1693–1699 (2003)
Schwartzman, D., Lacomis, J., Wigginton, W.: Characterization of left atrium and distal pulmonary vein morphology using multidimensional computed tomography. Journal of the American College of Cardiology 41(8), 1349–1357 (2003)
Zheng, Y., Jhon, M., Boese, J., Comaniciu, D.: Precise segmentation of the left atrium in C-arm CT volumes with applications to atrial fibrillation ablation. In: 9th IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1421–1424 (2012)
Ecabert, O., Peters, J., Schramm, H., Lorenz, C., Von Berg, J., Walker, M.J., Vembar, M., Olszewski, M.E., Subramanyan, K., Lavi, G., Weese, J.: Automatic Model-Based Segmentation of the Heart in CT Images. IEEE Transactions Medical Imaging 27(9), 1189–1201 (2008)
Zuluaga, M.A., Jorge Cardoso, M., Modat, M., Ourselin, S.: Multi-atlas propagation whole heart segmentation from MRI and CTA using a local normalised correlation coefficient criterion. In: Ourselin, S., Rueckert, D., Smith, N. (eds.) FIMH 2013. LNCS, vol. 7945, pp. 174–181. Springer, Heidelberg (2013)
Karim, R., Mohiaddin, R., Rueckert, D.: Left atrium segmentation for atrial fibrillation ablation. In: Proc. of SPIE Medical imaging (2008)
Zhu, L., Gao, Y., Yezzi, A., MacLeod, R., Cates, J., Tannenbaum, A.: Automatic segmentation of the left atrium from MRI images using salient feature and contour evolution. In: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 3211–3214 (2012)
Leung, K., Barnes, J., Modat, M., Ridgway, G., Bartlett, J., Fox, N., Ourselin, S.: Automated brain extraction using multi-atlas propagation and segmentation (MAPS). In: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 2053–2056 (2011)
Acosta, O., Simon, A., Monge, F., Commandeur, F., Bassirou, C., Cazoulat, G., de Crevoisier, R., Haigron, P.: Evaluation of multi-atlas-based segmentation of CT scans in prostate cancer radiotherapy. In: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 1966–1969 (2011)
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Sandoval, Z., Betancur, J., Dillenseger, JL. (2014). Multi-atlas-Based Segmentation of the Left Atrium and Pulmonary Veins. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2013. Lecture Notes in Computer Science, vol 8330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54268-8_3
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DOI: https://doi.org/10.1007/978-3-642-54268-8_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54267-1
Online ISBN: 978-3-642-54268-8
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