Abstract
As a minimally invasive surgery to treat left atrial (LA) fibrillation, catheter based ablation uses high radio-frequency energy to eliminate potential sources of the abnormal electrical events, especially around the ostia of pulmonary veins (PV). Due to large structural variations of the PV drainage pattern, a personalized LA model is helpful to translate a generic ablation strategy to a specific patient’s anatomy. Overlaying the LA model onto 2D fluoroscopic images provides valuable visual guidance during surgery. A holistic shape model is not accurate enough to represent the whole shape population of the LA. In this paper, we propose a part based LA model (including the chamber, appendage, and four major PVs) and each part is a much simpler anatomical structure compared to the holistic one. Our approach works on un-gated C-arm CT, where thin boundaries between the LA blood pool and surrounding tissues are often blurred due to the cardiac motion artifacts (which presents a big challenge compared to the highly contrasted gated CT/MRI). To avoid segmentation leakage, the shape prior is exploited in a model based approach to segment the LA parts. However, independent detection of each part is not optimal and its robustness needs further improvement (especially for the appendage and PVs). We propose to enforce a statistical shape constraint during the estimation of pose parameters (position, orientation, and size) of different parts. Our approach is computationally efficient, taking about 1.5 s to process a volume with 256 ×256 ×250 voxels. Experiments on 469 C-arm CT datasets demonstrate its robustness.
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Lloyd-Jones, D., Adams, R., Carnethon, M., et al.: Heart disease and stroke statistics – 2009 update. Circulation 119(3), 21–181 (2009)
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)
Karim, R., Mohiaddin, R., Rueckert, D.: Left atrium segmentation for atrial fibrillation ablation. In: Proc. of SPIE Medical Imaging (2008)
Marom, E.M., Herndon, J.E., Kim, Y.K., McAdams, H.P.: Variations in pulmonary venous drainage to the left atrium: Implications for radiofrequency ablation. Radiology 230, 824–829 (2004)
Karim, R., Juli, C., Lawes, L.M., Kanangaratnam, P., Davies, D.W., Peters, N.S., 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 X-ray images for anatomic intra-procedural surface generation in atrial fibrillation ablation procedures. IEEE Trans. Medical Imaging 29(2), 260–272 (2010)
Zheng, Y., Barbu, A., Georgescu, B., Scheuering, M., Comaniciu, D.: Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes using marginal space learning and steerable features. IEEE Trans. Medical Imaging 27(11), 1668–1681 (2008)
Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.: Active shape models—their training and application. Computer Vision and Image Understanding 61(1), 38–59 (1995)
Boisvert, J., Pennec, X., Labelle, H., Cheriet, F., Ayache, N.: Principal spine shape deformation modes using Riemannian geometry and articulated models. In: Perales, F.J., Fisher, R.B. (eds.) AMDO 2006. LNCS, vol. 4069, pp. 346–355. Springer, Heidelberg (2006)
Horn, B.K.P.: Closed form solution of absolute orientation using unit quaternions. Journal of the Optical Society A 4(4), 629–642 (1987)
Lorensen, W.E., Cline, H.E.: Marching cubes: A high resolution 3D surface construction algorithm. Computer Graphics 21(4), 163–169 (1987)
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Zheng, Y., Wang, T., John, M., Zhou, S.K., Boese, J., Comaniciu, D. (2011). Multi-part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation. In: Fichtinger, G., Martel, A., Peters, T. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011. MICCAI 2011. Lecture Notes in Computer Science, vol 6893. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23626-6_60
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DOI: https://doi.org/10.1007/978-3-642-23626-6_60
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