TY - JOUR
T1 - A priori model independent inverse potential mapping
T2 - the impact of electrode positioning
AU - van der Graaf, A W Maurits
AU - Bhagirath, Pranav
AU - de Hooge, Jacques
AU - de Groot, Natasja M S
AU - Götte, Marco J W
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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.
AB - 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.
KW - Adult
KW - Aged
KW - Body Surface Potential Mapping/instrumentation
KW - Computer Simulation
KW - Electrodes
KW - Feasibility Studies
KW - Humans
KW - Magnetic Resonance Imaging/methods
KW - Male
KW - Middle Aged
KW - Models, Anatomic
KW - Pacemaker, Artificial
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84955213471&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/26216293
U2 - https://doi.org/10.1007/s00392-015-0891-7
DO - https://doi.org/10.1007/s00392-015-0891-7
M3 - Article
C2 - 26216293
SN - 1861-0684
VL - 105
SP - 79
EP - 88
JO - Clinical research in cardiology
JF - Clinical research in cardiology
IS - 1
ER -