AugmentA: Patient-specific augmented atrial model generation tool

Author:

Azzolin LucaORCID,Eichenlaub MartinORCID,Nagel ClaudiaORCID,Nairn DeborahORCID,Sánchez JorgeORCID,Unger LauraORCID,Arentz Thomas,Westermann Dirk,Dössel Olaf,Jadidi Amir,Loewe Axel

Funder

European Metrology Programme for Innovation and Research

Deutsche Forschungsgemeinschaft

Horizon 2020

H2020 Marie Skłodowska-Curie Actions

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference60 articles.

1. Arrhythmogenic propensity of the fibrotic substrate after atrial fibrillation ablation: a longitudinal study using magnetic resonance imaging-based atrial models;Ali;Cardiovasc. Res.,2019

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3. A reproducible protocol to assess arrhythmia vulnerability: pacing at the end of the effective refractory period;Azzolin;Front. Physiol.,2021

4. Method for generating an anatomically and functionally personalized computational atria model;Azzolin;European Patent Application,2022

5. Personalized ablation vs. conventional ablation strategies to terminate atrial fibrillation and prevent recurrence;Azzolin;Europace,2022

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