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Estimation of Volumetric Myocardial Apparent Conductivity From Endocardial Electro-Anatomical Mapping.
EMBC: 2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20
2907 - 2910.
Estimating patient-specific electrical tissue parameters is of considerable benefit towards personalisation of cardiac biophysical models. In this paper, an adaptive inverse parameter estimation algorithm is proposed to estimate the myocardial apparent conductivity from endocardial electrical potential measurements. The forward electrophysiology problem is posed as an Eikonal model and is solved using an anisotropic fast marching method. The conductivity estimation algorithm is validated on patient data obtained using hybrid X-ray/magnetic resonance imaging. Future directions towards improving such estimation procedures are also indicated.
|Title:||Estimation of Volumetric Myocardial Apparent Conductivity From Endocardial Electro-Anatomical Mapping|
|Keywords:||COMPUTATIONAL PHYSIOLOGY, PROPAGATION, MODELS|
|UCL classification:||UCL > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
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