Cardiac Electrophysiological Imaging: Solving the Inverse Problem of Electrocardiography

He, Bin; Liu, Chenguang

doi:10.1007/978-1-4419-6658-2_18

Cited by 4 publications

(5 citation statements)

References 41 publications

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“…A major breakthrough in the spatial analysis of multichannel EEG/MEG was the development of distributed inverse solution methods that allow the estimation of the 3-dimensional distribution of neuronal activity in the whole brain at each moment in time [ 3 , 51 , 52 ]. The stability and reliability of these methods are impressive, and they have been validated by several direct comparisons with intracranial recordings, lesion studies and other neuroimaging methods [ 53 ].…”

Section: Source Localizationmentioning

confidence: 99%

Spatiotemporal Analysis of Multichannel EEG: CARTOOL

Brunet

Murray

Michel

2011

Computational Intelligence and Neuroscience

624

583

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This paper describes methods to analyze the brain's electric fields recorded with multichannel Electroencephalogram (EEG) and demonstrates their implementation in the software CARTOOL. It focuses on the analysis of the spatial properties of these fields and on quantitative assessment of changes of field topographies across time, experimental conditions, or populations. Topographic analyses are advantageous because they are reference independents and thus render statistically unambiguous results. Neurophysiologically, differences in topography directly indicate changes in the configuration of the active neuronal sources in the brain. We describe global measures of field strength and field similarities, temporal segmentation based on topographic variations, topographic analysis in the frequency domain, topographic statistical analysis, and source imaging based on distributed inverse solutions. All analysis methods are implemented in a freely available academic software package called CARTOOL. Besides providing these analysis tools, CARTOOL is particularly designed to visualize the data and the analysis results using 3-dimensional display routines that allow rapid manipulation and animation of 3D images. CARTOOL therefore is a helpful tool for researchers as well as for clinicians to interpret multichannel EEG and evoked potentials in a global, comprehensive, and unambiguous way.

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Section: Source Localizationmentioning

confidence: 99%

Spatiotemporal Analysis of Multichannel EEG: CARTOOL

Brunet

Murray

Michel

2011

Computational Intelligence and Neuroscience

624

583

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“…Various approaches have been pursued to detect and analyze atrial electrical activity [ 48 , 49 ]. CEI translates the body surface electrical potentials into cardiac sources and provides a noninvasive approach to image cardiac activation [ 50 – 54 ]. Such noninvasive approach may leverage clinical treatment by assisting in planning for the intervention strategy, localizing ablation targets pre-surgically to shorten ablation time, and helping with post-surgery evaluation over time.…”

Section: Discussionmentioning

confidence: 99%

Noninvasive Imaging of Human Atrial Activation during Atrial Flutter and Normal Rhythm from Body Surface Potential Maps

Zhou

et al. 2016

PLoS ONE

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BackgroundKnowledge of atrial electrophysiological properties is crucial for clinical intervention of atrial arrhythmias and the investigation of the underlying mechanism. This study aims to evaluate the feasibility of a novel noninvasive cardiac electrical imaging technique in imaging bi-atrial activation sequences from body surface potential maps (BSPMs).MethodsThe study includes 7 subjects, with 3 atrial flutter patients, and 4 healthy subjects with normal atrial activations. The subject-specific heart-torso geometries were obtained from MRI/CT images. The equivalent current densities were reconstructed from 208-channel BSPMs by solving the inverse problem using individual heart-torso geometry models. The activation times were estimated from the time instant corresponding to the highest peak in the time course of the equivalent current densities. To evaluate the performance, a total of 32 cycles of atrial flutter were analyzed. The imaged activation maps obtained from single beats were compared with the average maps and the activation maps measured from CARTO, by using correlation coefficient (CC) and relative error (RE).ResultsThe cardiac electrical imaging technique is capable of imaging both focal and reentrant activations. The imaged activation maps for normal atrial activations are consistent with findings from isolated human hearts. Activation maps for isthmus-dependent counterclockwise reentry were reconstructed on three patients with typical atrial flutter. The method was capable of imaging macro counterclockwise reentrant loop in the right atrium and showed inter-atria electrical conduction through coronary sinus. The imaged activation sequences obtained from single beats showed good correlation with both the average activation maps (CC = 0.91±0.03, RE = 0.29±0.05) and the clinical endocardial findings using CARTO (CC = 0.70±0.04, RE = 0.42±0.05).ConclusionsThe noninvasive cardiac electrical imaging technique is able to reconstruct complex atrial reentrant activations and focal activation patterns in good consistency with clinical electrophysiological mapping. It offers the potential to assist in radio-frequency ablation of atrial arrhythmia and help defining the underlying arrhythmic mechanism.

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“…The conductivities of the skin, skull and brain were assumed to be 0.33, 0.0165 and 0.33 S/m respectively (Oostendorp et al, 2000; Lai et al, 2005; Zhang et al, 2006b). This BE head modeling approach has been widely used in the source localization and current density reconstruction with EEG/MEG (He et al, 2005; Fuchs et al, 2001). …”

Section: Methodsmentioning

confidence: 99%

“…However, the low spatial resolution of the conventional EEG limits its use for imaging spatially distributed brain electrical activity. Efforts have been made to solve the so-called EEG inverse problem to substantially improve the spatial resolution of EEG (He et al, 1987; Michel et al, 2004; Nunez & Srinivasan, 2005; He & Lian, 2005). Among them, of interest is the development of cortical potential imaging (CPI) techniques, in which the cortical potential is estimated noninvasively from the scalp potentials to improve spatial resolution of scalp EEG (Sidman et al, 1990; Srebro et al, 1993; Gevins et al, 1994; Nunez et al, 1994; He et al, 1996, 1999, 2001, 2002; Babiloni et al, 1997; Wang & He, 1998; Zhang et al, 2003; Zhang et al, 2006a).…”

Section: Introductionmentioning

confidence: 99%

Cortical Potential Imaging of Somatosensory Evoked Potentials by Means of the Boundary Element Method in Pediatric Epilepsy Patients

et al. 2010

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The aim of the present study was to assess the feasibility of identifying the primary hand sensory area and central sulcus in pediatric patients using the cortical potential imaging (CPI) method from the scalp recorded somatosensory evoked potentials (SEPs). The CPI method was used to reconstruct the cortical potential distribution from the scalp potentials with the boundary element (3-layer: scalp, skull and brain) head model based on MR images of individual subjects. The cortical potentials estimated from the pre-operative scalp SEPs of four pediatric patients, were compared with the post-op subdural SEP recordings made in the same subjects. Estimated and directly recorded cortical SEP maps showed comparable spatial patterns on the cortical surface in four patients (spatial correlation coefficient > 0.7 in the SEP spikes). For two of four patients, the estimated waveforms correlated significantly to the waveforms obtained by direct cortical recordings. The present results demonstrated the feasibility of the cortical potential imaging approach in noninvasive imaging spatial distribution and temporal waveforms of cortical potentials for pediatric patients. These also suggest that the CPI method may provide a promising means of estimating the cortical potential and noninvasive localizing the central sulcus to aid surgical planning for pediatric patients.

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Cardiac Electrophysiological Imaging: Solving the Inverse Problem of Electrocardiography

Cited by 4 publications

References 41 publications

Spatiotemporal Analysis of Multichannel EEG: CARTOOL

Spatiotemporal Analysis of Multichannel EEG: CARTOOL

Noninvasive Imaging of Human Atrial Activation during Atrial Flutter and Normal Rhythm from Body Surface Potential Maps

Cortical Potential Imaging of Somatosensory Evoked Potentials by Means of the Boundary Element Method in Pediatric Epilepsy Patients

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