Key result
A dynamic computer model using the fast marching method was developed to replicate clinically measured atrial flutter circuits and estimate global and local conduction velocity.
A novel computational modeling approach using the fast marching method can simulate atrial flutter circuits to estimate conduction velocity, potentially aiding in clinical diagnosis and ablation planning.
May aid ablation planning in atrial flutter; leaves open prospective validation before clinical adoption.
Diagnosis of atrial flutter caused by ablation of atrial fibrillation is complex due to ablation scars. This paper presents an approach to replicate the clinically measured flutter circuit in a dynamic computer model. In a first step, important anatomical features of the flutter circuit are extracted manually based on the clinical measurement. With the help of this information, the electrical excitation propagation is simulated on the atrial geometry using the fast marching method. The simulated flutter circuit is used to estimate the global and local conduction velocity by approximating it iteratively. The parameterized flutter simulation is supposed to support the physician during diagnosis and treatment of atrial flutter.
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Trächtler et al. (2015) studied Atrial flutter caused by ablation of atrial fibrillation. Dynamic computer model using the fast marching method was evaluated on Estimation of global and local conduction velocity. A dynamic computer model using the fast marching method was developed to replicate clinically measured atrial flutter circuits and estimate global and local conduction velocity.
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