Paper Info
Title
Inverse Problem of Electrocardiography: Estimating the Location of Cardiac Ischemia in a 3D Realistic Geometry
Abstract
The inverse problem of electrocardiography (IPE) has been formulated in different ways in order to non invasively obtain valuable informations about the heart condition. Most of the formulations solve the IPE neglecting the dynamic behavior of the electrical wave propagation in the heart. In this work we take into account this dynamic behavior by constraining the cost function with the monodomain model. We use an iterative algorithm combined with a level set formulation and the use of a simple phenomenological model. This method has been previously presented to localize ischemic regions in a 2D cardiac tissue. In this work, we analyze the performance of this method in different 3D geometries. The inverse procedure exploits the spatiotemporal correlations contained in the observed data, which is formulated as a parametric adjust of a mathematical model that minimizes the misfit between the simulated and the observed data. Numerical results over 3D geometries show that the algorithm is capable of identifying the position and the size of the ischemic regions. For the experiments with a realistic anatomical geometry, we reconstruct the ischemic region with roughly a 47% of false-positive rate and a 13% false-negative rate under 10% of input noise. The correlation coefficient between the reconstructed ischemic region and the ground truth exceeds the value of 0.70).
Year
DOI
Venue
2015
10.1007/978-3-319-20309-6_45
Lecture Notes in Computer Science
Field
DocType
Volume
Inverse,Correlation coefficient,Monodomain model,Iterative method,Level set,Ground truth,Parametric statistics,Inverse problem,Geometry,Mathematics
Conference
9126
ISSN
Citations 
PageRank 
0302-9743
2
0.38
References 
Authors
4
5
Name
Order
Citations
PageRank
Carlos Eduardo Chávez120.38
Nejib Zemzemi24212.17
Yves Coudière3768.73
Felipe Alonso Atienza4121.91
Diego Álvarez5132.61