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                <term xml:lang="en">cardiac electrophysiology modelling</term>
                <term xml:lang="en"> radiofrequency ablation planning</term>
                <term xml:lang="en"> intracar-diac electrogram modelling</term>
                <term xml:lang="en"> electroanatomical mapping</term>
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              <p>Goal: In this work, we used in silico patient-specific models constructed from 3D delayed-enhanced magnetic resonance imaging (DE-MRI) to simulate intracardiac electrograms (EGM). These included electrically abnormal electrograms as these are potential radiofrequency ablation (RFA) targets. Methods: We generated signals with distinguishable macroscopic normal and abnormal characteristics by constructing MRI-based patient-specific structural heart models and by solving the simplified biophysical Mitchell-Schaeffer model of cardiac electrophysiology. Then, we simulated intracardiac electrograms by modelling a recording catheter using a dipole approach.Results: Qualitative results show that simulated EGM resemble clinical signals. Additionally, the quantitative assessment of signal features extracted from the simulated EGM showed statistically significant differences (p&lt;0.0001) between the distributions of normal and abnormal electrograms, similarly to what is observed on clinical data.Conclusion: We demonstrate the feasibility of coupling simplified cardiac EP models with imaging data to generate intracardiac EMG. Significance: These results are a step forward in the direction of the pre-operative and non-invasive identification of ablation targets to guide RFA therapy.</p>
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