Improving localization of cardiac geometry using ECGI
2020 Computing in Cardiology, 2020•ieeexplore.ieee.org
Introduction: Electrocardiographic imaging (ECGI) requires a model of the torso, and
inaccuracy in the position of the heart is a known source of error. We previously presented a
method to localize the heart when body and heart surface potentials are known. The goal of
this study is to extend this approach to only use body surface potentials. Methods: We used
an iterative coordinate descent optimization to estimate the positions of the heart for several
consecutive heartbeats relying on the assumption that the epicardial potential sequence is …
inaccuracy in the position of the heart is a known source of error. We previously presented a
method to localize the heart when body and heart surface potentials are known. The goal of
this study is to extend this approach to only use body surface potentials. Methods: We used
an iterative coordinate descent optimization to estimate the positions of the heart for several
consecutive heartbeats relying on the assumption that the epicardial potential sequence is …
Introduction
Electrocardiographic imaging (ECGI) requires a model of the torso, and inaccuracy in the position of the heart is a known source of error. We previously presented a method to localize the heart when body and heart surface potentials are known. The goal of this study is to extend this approach to only use body surface potentials.
Methods
We used an iterative coordinate descent optimization to estimate the positions of the heart for several consecutive heartbeats relying on the assumption that the epicardial potential sequence is the same in each beat. The method was tested with data synthesized using measurements from a isolated-heart, torso-tank preparation. Improvement was evaluated in terms of both heart localization and ECGI accuracy.
Results
The geometric correction resulted in cardiac geometries closely matching ground truth geometry. ECGI accuracy increased dramatically by all metrics using the corrected geometry.
Discussion
Future studies will employ more realistic animal models and then human subjects. Success could impact clinical ECGI by reducing errors from respiratory movement and perhaps decrease imaging requirements, reducing both cost and logistical difficulty of ECGI, widening clinical applicability.
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