Integrating spatial information about atrial physiology and anatomy in a single patient from multimodal datasets, as well as generalizing these data across patients, requires a common coordinate system. In the atria, this is challenging due to the complexity and variabi... View more
 F. Bisbal, E. Guiu, N. Calvo, D. Marin, A. Berruezo, E. Arbelo, J. OrtizPe´rez, T. M. de Caralt, J. M. Tolosana, R. Borra`s, et al., “Left atrial sphericity: a new method to assess atrial remodeling. impact on the outcome of atrial fibrillation ablation,” Journal of cardiovascular electrophysiology, vol. 24, no. 7, pp. 752-759, 2013.
 T. S. Fahmy, H. Mlcochova, O. M. Wazni, D. Patel, R. Cihak, M. Kanj, S. Beheiry, J. D. Burkhardt, T. Dresing, S. Hao, et al., “Intracardiac echoguided image integration: Optimizing strategies for registration,” Journal of cardiovascular electrophysiology, vol. 18, no. 3, pp. 276-282, 2007.
 R. Karim, Y. Ma, M. Jang, R. J. Housden, S. E. Williams, Z. Chen, A. Ataollahi, K. Althoefer, C. A. Rinaldi, R. Razavi, et al., “Surface flattening of the human left atrium and proof-of-concept clinical applications,” Computerized Medical Imaging and Graphics, vol. 38, no. 4, pp. 251-266, 2014.
 S. E. Williams, C. Tobon-Gomez, M. A. Zuluaga, H. Chubb, C. Butako , R. Karim, E. Ahmed, O. Camara, and K. S. Rhode, “Standardized unfold mapping: a technique to permit left atrial regional data display and analysis,” Journal of Interventional Cardiac Electrophysiology, vol. 50, no. 1, pp. 125-131, 2017.
 C. H. Roney, K. N. Tzortzis, C. D. Cantwell, N. A. Qureshi, R. L. Ali, P. B. Lim, J. H. Siggers, F. S. Ng, and N. S. Peters, “A technique for visualising three-dimensional left atrial cardiac activation data in two dimensions with minimal distance distortion,” in Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, pp. 7296-7299, IEEE, 2015.
 M. Bishop, R. Rajani, G. Plank, N. Gaddum, G. Carr-White, M. Wright, M. O'neill, and S. Niederer, “Three-dimensional atrial wall thickness maps to inform catheter ablation procedures for atrial fibrillation,” Europace, vol. 18, no. 3, pp. 376-383, 2015.
 C. D. Cantwell, C. H. Roney, F. S. Ng, J. H. Siggers, S. Sherwin, and N. S. Peters, “Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping,” Computers in biology and medicine, vol. 65, pp. 229-242, 2015.
 S. Rolf, S. Kircher, A. Arya, C. Eitel, P. Sommer, S. Richter, T. Gaspar, A. Bollmann, D. Altmann, C. Piedra, et al., “Tailored atrial substrate modification based on low-voltage areas in catheter ablation of atrial fibrillation,” Circulation: Arrhythmia and Electrophysiology, vol. 7, no. 5, pp. 825-833, 2014.
 H. Cochet, R. Dubois, S. Yamashita, N. Al Jefairi, B. Berte, J.-M. Sellal, D. Hooks, A. Frontera, S. Amraoui, A. Zemoura, et al., “Relationship between fibrosis detected on late gadolinium-enhanced cardiac magnetic resonance and re-entrant activity assessed with electrocardiographic imaging in human persistent atrial fibrillation,” JACC: Clinical Electrophysiology, vol. 4, no. 1, pp. 17-29, 2018.
 S. Labarthe, Y. Coudiere, J. Henry, and H. Cochet, “A semi-automatic method to construct atrial fibre structures: A tool for atrial simulations,” in Computing in Cardiology (CinC), 2012, pp. 881-884, IEEE, 2012.