An improved method for estimating epicardial potentials from the body surface

Greensite, Fred; Huiskamp, Geertjan

doi:10.1109/10.650360

Cited by 127 publications

(64 citation statements)

References 9 publications

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“…5a shows the activation pattern on the epicaxdial and endocardial surfaces, as reconstructed by the myocardial activation inverse algorithm (HuISKAMP and GREENSITE, 1997), and, in Fig. 5b, is the epicardial activation pattern derived from an epicaxdial potential inverse algorithm (GREENSITE and HUISKAMP, 1998), with the regularisation t t G u i d a n t Meridian…”

Section: ~B(y T) = a Tai[4~g(x T)]mentioning

confidence: 99%

Rapid construction of a patient-specific torso model from 3D ultrasound for non-invasive imaging of cardiac electrophysiology

Cheng

Sands

French

et al. 2005

Med. Biol. Eng. Comput.

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One of the main limitations in using inverse methods for non-invasively imaging cardiac electrical activity in a clinical setting is the difficulty in readily obtaining high-quality data sets to reconstruct accurately a patient-specific geometric model of the heart and torso. This issue was addressed by investigation into the feasibility of using a pseudo-3D ultrasound system and a hand-held laser scanner to reconstruct such a model. This information was collected in under 20 min prior to a catheter ablation or pacemaker study in the electrophysiology laboratory. Using the models created from these data, different activation field maps were computed using several different inverse methods. These were independently validated by comparison of the earliest site of activation with the physical location of the pacing electrodes, as determined from orthogonal fluoroscopy images. With an estimated average geometric error of approximately 8 mm, it was also possible to reconstruct the site of initial activation to within 17.3 mm and obtain a quantitatively realistic activation sequence. The study demonstrates that it is possible rapidly to construct a geometric model that can then be used non-invasively to reconstruct an activation field map of the heart.

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Section: ~B(y T) = a Tai[4~g(x T)]mentioning

confidence: 99%

Rapid construction of a patient-specific torso model from 3D ultrasound for non-invasive imaging of cardiac electrophysiology

Cheng

Sands

French

et al. 2005

Med. Biol. Eng. Comput.

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show abstract

“…Apart from the transmembrane potential source formulation, other electrical cardiac source formulations are employed: the so-called epicardial potential (more precisely: pericardial) (Greensite F. & Huiskamp G., 1998;Ramanathan C. et al, 2004). In the epicardial potential formulation the potentials on the heart surface (i.e., on the epicardial surface only) are modeled to be electrical sources, which means, that -with respect to the bidomain theoryonly extracellular potentials have to be taken into account for solving the forward problem.…”

Section: Forward Problemmentioning

confidence: 99%

Noninvasive Imaging of Cardiac Electrophysiology (NICE)

Seger¹,

Pfeifer²,

Berger³

2012

Electrophysiology - From Plants to Heart

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“…In each iteration step, matrix is updated by taking the product of with the diagonal current matrix from the preceding step (6) Each diagonal element of corresponds to one element of the current. Large elements of in conjunction with the data make the corresponding elements in large and vice versa for small elements.…”

Section: B Inverse Imaging Algorithmsmentioning

confidence: 99%

Imaging and visualization of 3-D cardiac electric activity

Wu²

2001

IEEE Trans. Inform. Technol. Biomed.

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Abstract-Noninvasive imaging of cardiac electric activity is of importance for better understanding the underlying mechanisms and for aiding clinical diagnosis and intervention of cardiac abnormalities. We propose to image the three-dimensional (3-D) cardiac bioelectric source distribution from body-surface electrocardiograms. Cardiac electrical sources were modeled by a current dipole distribution throughout the entire myocardium, and estimated by using the Laplacian weighted minimum norm (LWMN) algorithm from body-surface potentials. The estimated inverse solution of the current distribution was further improved by using a recursive weighting strategy for localized sources, such as origins of cardiac arrhythmias. Computer simulations were conducted to test the feasibility of the proposed approach by using a 3-D ventricle model embedded in a realistically shaped torso model. The boundary element method was used to solve the forward problem from assumed cardiac sources to the body-surface potentials. Two testing dipoles were placed in the left and right ventricles, simulating the early activation associated with ventricular arrhythmias. The LWMN inverse solution showed an equivalent source distribution over the entity of both ventricles, with spread areas of activity overlying the positions of the testing dipoles. The sharpened inverse image provides well-localized focal sources near the testing dipole positions. In summary, the present computer simulation suggests that the proposed 3-D cardiac current source imaging and localization approach appears to be a promising candidate for localizing and imaging sites of origins of cardiac activation.

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An improved method for estimating epicardial potentials from the body surface

Cited by 127 publications

References 9 publications

Rapid construction of a patient-specific torso model from 3D ultrasound for non-invasive imaging of cardiac electrophysiology

Rapid construction of a patient-specific torso model from 3D ultrasound for non-invasive imaging of cardiac electrophysiology

Noninvasive Imaging of Cardiac Electrophysiology (NICE)

Imaging and visualization of 3-D cardiac electric activity

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