The Inverse Problem Utilizing the Boundary Element Method for a Nonstandard Female Torso

This paper proposes a new method of rapidly deriving the transfer matrix for the boundary element method (BEM) forward problem from a tailored female torso geometry in the clinical setting. The method allows rapid calculation of epicardial potentials (EP) from body surface potentials (BSP). The use of EPs in previous studies has been shown to improve the successful detection of the life-threatening cardiac condition-acute myocardial infarction. The MRI scanning of a cardiac patient in the clinical setting is not practical and other methods are required to accurately deduce torso geometries for calculation of the transfer matrix. The new method allows the noninvasive calculation of tailored torso geometries from a standard female torso and five measurements taken from the body surface of a patient. This scaling of the torso has been successfully validated by carrying out EP calculations on 40 scaled torsos and ten female subjects. It utilizes the BEM in the calculation of the transfer matrix as the BEM depends only upon the topology of the surfaces of the torso and the heart, the former can now be accurately deduced, leaving only the latter geometry as an unknown.

[1]  J. Anderson,et al.  Improved detection of acute myocardial infarction using a diagnostic algorithm based on calculated epicardial potentials. , 2006, International journal of cardiology.

[2]  A. van Oosterom,et al.  Heart position and orientation in forward and inverse electrocardiography , 1992, Medical and Biological Engineering and Computing.

[3]  J. Anderson,et al.  The use of calculated epicardial potentials improves significantly the sensitivity of a diagnostic algorithm in the detection of acute myocardial infarction. , 2003, Journal of electrocardiology.

[4]  Navarro Paredes,et al.  Calculated epicardial potentials for early diagnosis of acute myocardial infarction , 2003 .

[5]  Robert Modre,et al.  On modeling the Wilson terminal in the boundary and finite element method , 2002, IEEE Transactions on Biomedical Engineering.

[6]  R Hoekema,et al.  Interindividual variability of multilead electrocardiographic recordings: influence of heart position. , 1999, Journal of Electrocardiology.

[7]  Dezhong Yao,et al.  A new method for implementation of regularization in cortical potential imaging , 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

[8]  A. S. Ferguson,et al.  Factors affecting the accuracy of the boundary element method in the forward problem. I. Calculating surface potentials , 1997, IEEE Transactions on Biomedical Engineering.

[9]  C.R. Johnson,et al.  The effects of inhomogeneities and anisotropies on electrocardiographic fields: a 3-D finite-element study , 1997, IEEE Transactions on Biomedical Engineering.

[10]  G. Huiskamp,et al.  Tailored versus realistic geometry in the inverse problem of electrocardiography , 1989, IEEE Transactions on Biomedical Engineering.

[11]  R. Barr,et al.  Relating Epicardial to Body Surface Potential Distributions by Means of Transfer Coefficients Based on Geometry Measurements , 1977, IEEE Transactions on Biomedical Engineering.