There has been a recent growing interest for cardiac computed tomography (CT) imaging in the electrophysiological community. This imaging modality indeed allows to locate and assess post-infarct scar heterogeneity, allowing to predict zones of abnormal electrical activity and even personalise EP models. To this end, most of the literature uses...
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June 6, 2019 (v1)Conference paperUploaded on: December 4, 2022
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June 11, 2017 (v1)Conference paper
Non-invasive prediction of optimal targets for efficient radio-frequency ablation is a major challenge in the treatment of ventricular tachycardia.Most of the related modelling work relies on magnetic resonance imaging of the heart for patient-specific personalized electrophysiology simulations.In this study, we used high-resolution computed...
Uploaded on: March 25, 2023 -
September 2023 (v1)Journal article
BACKGROUNDElectrophysiological mapping of ventricular tachycardia (VT) is tedious and poorly reproducible. Substrate analysis on imaging cannot explicitly display VT circuits. OBJECTIVESThis study sought to introduce a computed tomography-based model personalization approach, allowing for the simulation of postinfarction VT in a clinically...
Uploaded on: November 25, 2023 -
November 23, 2018 (v1)Journal article
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...
Uploaded on: December 4, 2022 -
June 2019 (v1)Journal article
ObjectiveThis study sought to determine whether 3-dimensionally-reconstructed computed tomography (CT) channels correlate with electrophysiological isthmuses during ventricular tachycardia (VT).MethodsWe retrospectively studied 9 postinfarction patients (aged 57 ± 15 years, 1 female) with 10 complete VT activation maps (cycle length 429 ± 77ms)...
Uploaded on: December 3, 2022