Cargando…
A priori model independent inverse potential mapping: the impact of electrode positioning
INTRODUCTION: In inverse potential mapping, local epicardial potentials are computed from recorded body surface potentials (BSP). When BSP are recorded with only a limited number of electrodes, in general biophysical a priori models are applied to facilitate the inverse computation. This study inves...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4712232/ https://www.ncbi.nlm.nih.gov/pubmed/26216293 http://dx.doi.org/10.1007/s00392-015-0891-7 |
_version_ | 1782410027291639808 |
---|---|
author | van der Graaf, A. W. Maurits Bhagirath, Pranav de Hooge, Jacques de Groot, Natasja M. S. Götte, Marco J. W. |
author_facet | van der Graaf, A. W. Maurits Bhagirath, Pranav de Hooge, Jacques de Groot, Natasja M. S. Götte, Marco J. W. |
author_sort | van der Graaf, A. W. Maurits |
collection | PubMed |
description | INTRODUCTION: In inverse potential mapping, local epicardial potentials are computed from recorded body surface potentials (BSP). When BSP are recorded with only a limited number of electrodes, in general biophysical a priori models are applied to facilitate the inverse computation. This study investigated the possibility of deriving epicardial potential information using only 62 torso electrodes in the absence of an a priori model. METHODS: Computer simulations were used to determine the optimal in vivo positioning of 62 torso electrodes. Subsequently, three different electrode configurations, i.e., surrounding the thorax, concentrated precordial (30 mm inter-electrode distance) and super-concentrated precordial (20 mm inter-electrode distance) were used to record BSP from three healthy volunteers. Magnetic resonance imaging (MRI) was performed to register the electrode positions with respect to the anatomy of the patient. Epicardial potentials were inversely computed from the recorded BSP. In order to determine the reconstruction quality, the super-concentrated electrode configuration was applied in four patients with an implanted MRI-conditional pacemaker system. The distance between the position of the ventricular lead tip on MRI and the inversely reconstructed pacing site was determined. RESULTS: The epicardial potential distribution reconstructed using the super-concentrated electrode configuration demonstrated the highest correlation (R = 0.98; p < 0.01) with the original epicardial source model. A mean localization error of 5.3 mm was found in the pacemaker patients. CONCLUSION: This study demonstrated the feasibility of deriving detailed anterior epicardial potential information using only 62 torso electrodes without the use of an a priori model. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00392-015-0891-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4712232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-47122322016-01-19 A priori model independent inverse potential mapping: the impact of electrode positioning van der Graaf, A. W. Maurits Bhagirath, Pranav de Hooge, Jacques de Groot, Natasja M. S. Götte, Marco J. W. Clin Res Cardiol Original Paper INTRODUCTION: In inverse potential mapping, local epicardial potentials are computed from recorded body surface potentials (BSP). When BSP are recorded with only a limited number of electrodes, in general biophysical a priori models are applied to facilitate the inverse computation. This study investigated the possibility of deriving epicardial potential information using only 62 torso electrodes in the absence of an a priori model. METHODS: Computer simulations were used to determine the optimal in vivo positioning of 62 torso electrodes. Subsequently, three different electrode configurations, i.e., surrounding the thorax, concentrated precordial (30 mm inter-electrode distance) and super-concentrated precordial (20 mm inter-electrode distance) were used to record BSP from three healthy volunteers. Magnetic resonance imaging (MRI) was performed to register the electrode positions with respect to the anatomy of the patient. Epicardial potentials were inversely computed from the recorded BSP. In order to determine the reconstruction quality, the super-concentrated electrode configuration was applied in four patients with an implanted MRI-conditional pacemaker system. The distance between the position of the ventricular lead tip on MRI and the inversely reconstructed pacing site was determined. RESULTS: The epicardial potential distribution reconstructed using the super-concentrated electrode configuration demonstrated the highest correlation (R = 0.98; p < 0.01) with the original epicardial source model. A mean localization error of 5.3 mm was found in the pacemaker patients. CONCLUSION: This study demonstrated the feasibility of deriving detailed anterior epicardial potential information using only 62 torso electrodes without the use of an a priori model. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00392-015-0891-7) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2015-07-28 2016 /pmc/articles/PMC4712232/ /pubmed/26216293 http://dx.doi.org/10.1007/s00392-015-0891-7 Text en © The Author(s) 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Paper van der Graaf, A. W. Maurits Bhagirath, Pranav de Hooge, Jacques de Groot, Natasja M. S. Götte, Marco J. W. A priori model independent inverse potential mapping: the impact of electrode positioning |
title | A priori model independent inverse potential mapping: the impact of electrode positioning |
title_full | A priori model independent inverse potential mapping: the impact of electrode positioning |
title_fullStr | A priori model independent inverse potential mapping: the impact of electrode positioning |
title_full_unstemmed | A priori model independent inverse potential mapping: the impact of electrode positioning |
title_short | A priori model independent inverse potential mapping: the impact of electrode positioning |
title_sort | priori model independent inverse potential mapping: the impact of electrode positioning |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4712232/ https://www.ncbi.nlm.nih.gov/pubmed/26216293 http://dx.doi.org/10.1007/s00392-015-0891-7 |
work_keys_str_mv | AT vandergraafawmaurits apriorimodelindependentinversepotentialmappingtheimpactofelectrodepositioning AT bhagirathpranav apriorimodelindependentinversepotentialmappingtheimpactofelectrodepositioning AT dehoogejacques apriorimodelindependentinversepotentialmappingtheimpactofelectrodepositioning AT degrootnatasjams apriorimodelindependentinversepotentialmappingtheimpactofelectrodepositioning AT gottemarcojw apriorimodelindependentinversepotentialmappingtheimpactofelectrodepositioning AT vandergraafawmaurits priorimodelindependentinversepotentialmappingtheimpactofelectrodepositioning AT bhagirathpranav priorimodelindependentinversepotentialmappingtheimpactofelectrodepositioning AT dehoogejacques priorimodelindependentinversepotentialmappingtheimpactofelectrodepositioning AT degrootnatasjams priorimodelindependentinversepotentialmappingtheimpactofelectrodepositioning AT gottemarcojw priorimodelindependentinversepotentialmappingtheimpactofelectrodepositioning |