An automatic framework for the non-rigid alignment of electroanatomical maps and preoperative anatomical scans in atrial fibrillation
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Antonio Pasini | Stefano Severi | Martino Alessandrini | Cristiana Corsi | Maddalena Valinoti | Roberto Mantovan
[1] Tammo Delhaas,et al. Functional Imaging and Modeling of the Heart , 2015, Lecture Notes in Computer Science.
[2] Baba C. Vemuri,et al. Shape Modeling with Front Propagation: A Level Set Approach , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Gunnar Seemann,et al. Functional Imaging and Modeling of the Heart , 2003, Lecture Notes in Computer Science.
[4] David A. Boas,et al. Tetrahedral mesh generation from volumetric binary and grayscale images , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[5] Baba C. Vemuri,et al. Robust Point Set Registration Using Gaussian Mixture Models , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Deepak Bhakta,et al. Principles of Electroanatomic Mapping , 2008, Indian pacing and electrophysiology journal.
[7] Stefano Severi,et al. Volumetric identification of left atrial fibrosis from delayed enhancement magnetic resonance imaging in atrial fibrillation: Preliminary results , 2014, Computing in Cardiology 2014.
[8] Marcel Breeuwer,et al. Modelling Parameter Role on Accuracy of Cardiac Perfusion Quantification , 2013, FIMH.
[9] Daniel Cohen-Or,et al. Consistent mesh partitioning and skeletonisation using the shape diameter function , 2008, The Visual Computer.
[10] Patrick T. Ellinor,et al. Factors affecting error in integration of electroanatomic mapping with CT and MR imaging during catheter ablation of atrial fibrillation , 2007, Journal of Interventional Cardiac Electrophysiology.
[11] Sami Romdhani,et al. Optimal Step Nonrigid ICP Algorithms for Surface Registration , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Andriy Myronenko,et al. Point Set Registration: Coherent Point Drift , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] N. Trayanova,et al. Patient-derived models link re-entrant driver localization in atrial fibrillation to fibrosis spatial pattern. , 2016, Cardiovascular research.