Abstract
The left atrium is one of the four chambers of the heart. It receives oxygenated blood from the lungs and pumps it into the left ventricle. This blood is then circulated to the rest of the body. In a healthy adult the left atrium pumps blood into the ventricle in a regular rhythm. In atrial fibrillation (AF), the left atrium quivers in an abnormal rhythm and is no longer able to pump blood into the left ventricle efficiently. On the other hand MRI and CT are commonly used for imaging this structure. Segmentation can be used to generate anatomical models that can be employed in guided treatment and also more recently for cardiac biophysical modelling. For this reason, segmentation of the left atrium is a task with important diagnostic power. In this paper, we propose an automatic localization method in order to detect the left atrium in MRI images. Our method is based on shape descriptor and prior knowledge. For this purpose some descriptors are selected: circularity, area, the center of mass of each region, elongation factor, type factor. We propose also to use some prior knowledge as pulmonary artery position, and the left atrium position.
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References
Atrial Fibrillation Investigators, Risk factors for stroke and efficacy of antithrombotic therapy in atrial fibrillation: analysis of pooled data from five randomized controlled trials. Archives of Internal Medicine 154(13), 1449-1457 (1994)
Karim, R., Mohiaddin, R., Rueckert, D.: Left atrium segmentation for atrial fibrillation ablation. In: Proc. of SPIE Medical Imaging (2008)
Depa, M., Sabuncu, M.R., Holmvang, G., Nezafat, R., Schmidt, E.J., Golland, P.: Robust atlas-based segmentation of highly variable anatomy: Left atrium segmentation. In: Camara, O., Pop, M., Rhode, K., Sermesant, M., Smith, N., Young, A. (eds.) STACOM 2010. LNCS, vol. 6364, pp. 85–94. Springer, Heidelberg (2010)
Zheng, Y., Wang, T., John, M., Zhou, S.K., Boese, J., Comaniciu, D.: Multi-part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part III. LNCS, vol. 6893, pp. 487–495. Springer, Heidelberg (2011)
John, M., Rahn, N.: Automatic left atrium segmentation by cutting the blood pool at narrowings. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3750, pp. 798–805. Springer, Heidelberg (2005)
Gao, Y., Gholami, B., MacLeod, R.S., Blauer, J., Haddad, W.M., Tannenbaum, A.R.: Segmentation of the Endocardial Wall of the Left Atrium using Local Region-Based Active contours and Statistical Shape Learning. In: Dawant, B.M., Haynor, D.R. (eds.) Medical Imaging 2010: Image Processing. Proc. of SPIE, vol. 7623, 76234Z ∙ © 2010 SPIE ∙ CCC code: 1605-7422/10/$18 ∙ doi: 10.1117/12.844321
Karim, R., Juli, C., Malcolme-Lawes, L., Wyn-Davies, D., Kanagaratnam, P., Peters, N., Rueckert, D.: Automatic segmentation of left atrial geometry from contrast-enhanced magnetic resonance images using a probabilistic atlas. In: Camara, O., Pop, M., Rhode, K., Sermesant, M., Smith, N., Young, A. (eds.) STACOM 2010. LNCS, vol. 6364, pp. 134–143. Springer, Heidelberg (2010)
Depa, M., Sabuncu, M.R., Holmvang, G., Nezafat, R., Schmidt, E.J., Golland, P.: Robust atlas-based segmentation of highly variable anatomy: Left atrium segmentation. In: Camara, O., Pop, M., Rhode, K., Sermesant, M., Smith, N., Young, A. (eds.) STACOM 2010. LNCS, vol. 6364, pp. 85–94. Springer, Heidelberg (2010)
Manzke, R., Meyer, C., Ecabert, O., Peters, J., Noordhoek, N.J., Thiagalingam, A., Reddy, V.Y., Chan, R.C., Weese, J.: Automatic segmentation of rotational Xray images for anatomic intra-procedural surface generation in atrial fibrillation ablation procedures. IEEE Trans. Medical Imaging 29(2), 260–272 (2010)
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Ammar, M., Mahmoudi, S., Chikh, M.A., Abbou, A. (2014). Toward an Automatic Left Atrium Localization Based on Shape Descriptors and Prior Knowledge. 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_5
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DOI: https://doi.org/10.1007/978-3-642-54268-8_5
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