Macro-reentrant atrial and ventricular tachycardias originate
from additional circuits in which the activation of the cardiac chambers
follows a high-frequency rotating pattern. The macro-reentrant circuit
can be interrupted by targeted radiofrequency energy delivery with a
linear lesion transecting the pathway. The choice of the optimal ablation
site is determined by the operator’s experience, thus limiting the procedure
success, increasing its duration and also unnecessarily extending
the ablated tissue area in the case of incorrect ablation target estimation.
In this paper, an algorithm for automatic intraoperative detection of the
tachycardia reentry path is proposed by modelling the propagation as a
graph traverse problem. Moreover, the optimal ablation point where the
path should be transected is computed. Finally, the proposed method
is applied to sparse electroanatomical data to demonstrate its use when
undersampled mapping occurs. Thirteen electroanatomical maps of right
ventricle and right and left atrium tachycardias from patients treated
for congenital heart disease were analysed retrospectively in this study,
with prediction accuracy tested against the recorded ablation sites and
arrhythmia termination points.