EP-Europace, 2018, 20
Aims Clinical application of patient-specific cardiac computer models requires fast and robust processing pipelines that can be seamlessly integrated into clinical workflows. We aim at building such a pipeline from computed tomography (CT) images to personalised cardiac electrophysiology (EP) model. The simulation output could be useful in the context of post-infarct ventricular tachycardia (VT) radio-frequency ablation (RFA) planning for pre-operative targets prediction.
Nicolas Cedilnik, Josselin Duchateau, Rémi Dubois, Frédéric Sacher, Pierre Jaïs, et al.. Fast Personalized Electrophysiological Models from CT Images for Ventricular Tachycardia Ablation Planning. EP-Europace, 2018, 20. ⟨hal-01875533v3⟩ (lien externe)
Citations
APA
Cedilnik, N., Duchateau, J., Dubois, R., Sacher, F., Jaïs, P., Cochet, H., & Sermesant, M. (2018). Fast Personalized Electrophysiological Models from CT Images for Ventricular Tachycardia Ablation Planning. In EP-Europace. https://inria.hal.science/hal-01875533v3
MLA
Cedilnik, Nicolas, et al. “Fast Personalized Electrophysiological Models from CT Images for Ventricular Tachycardia Ablation Planning.” EP-Europace, Nov. 2018, https://inria.hal.science/hal-01875533v3.
Chicago
Cedilnik, Nicolas, Josselin Duchateau, Rémi Dubois, Frédéric Sacher, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. 2018. “Fast Personalized Electrophysiological Models from CT Images for Ventricular Tachycardia Ablation Planning.” EP-Europace. https://inria.hal.science/hal-01875533v3.
Harvard
Cedilnik, N. et al. (2018) “Fast Personalized Electrophysiological Models from CT Images for Ventricular Tachycardia Ablation Planning,” EP-Europace. Available at: https://inria.hal.science/hal-01875533v3.
ISO 690
CEDILNIK, Nicolas, DUCHATEAU, Josselin, DUBOIS, Rémi, SACHER, Frédéric, JAÏS, Pierre, COCHET, Hubert and SERMESANT, Maxime, 2018. Fast Personalized Electrophysiological Models from CT Images for Ventricular Tachycardia Ablation Planning [en ligne]. November 2018. Disponible à l'adresse : https://inria.hal.science/hal-01875533v3