Using inverse electrocardiography to image myocardial infarction—reflecting on the 2007 PhysioNet/Computers in Cardiology Challenge

Dawoud, Fady; Wagner, Galen S.; Moody, G.B.; Horáček, B. Milan

doi:10.1016/j.jelectrocard.2008.07.022

Cited by 29 publications

(14 citation statements)

References 12 publications

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“…The technique of BSPM pioneered by Dr. Yoram Rudy's laboratory was used to collect body surface ECG. Briefly, 120 hhdisposable radiolucent Ag/AgCl surface electrodes were placed in a specific arrangement on the torso and connected via cables to a multichannel acquisition system (Active Two, BioSemi, Amsterdam, Netherlands) to record body surface ECG to a laptop computer …”

Section: Methodsmentioning

confidence: 99%

“…Briefly, 120 hhdisposable radiolucent Ag/AgCl surface electrodes were placed in a specific arrangement on the torso and connected via cables to a multichannel acquisition system (Active Two, BioSemi, Amsterdam, Netherlands) to record body surface ECG to a laptop computer. [13][14][15] Computed tomography Animals were scanned with ECG-gating and suspended respiration using a 0.5-mm 320-detector scanner (Aquilion 320, Toshiba, Japan). Imaging was performed during first pass post-injection of a 100-mL bolus of iodixanol using retrospectively gated cardiac function assessment protocol with the following parameters: gantry rotation time 275 milliseconds, temporal resolution ß 50 milliseconds, detector collimation 0.5 mm x 320 mm, helical pitch variable depending on heart rate, tube voltage 120 kV and tube current 400 mA.…”

Section: Body Surface Potential Mappingmentioning

confidence: 99%

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Insights from Novel Noninvasive CT and ECG Imaging Modalities on Electromechanical Myocardial Activation in a Canine Model of Ischemic Dyssynchronous Heart Failure

Dawoud

Schuleri

Spragg

et al. 2016

Cardiovasc electrophysiol

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Section: Methodsmentioning

confidence: 99%

Section: Body Surface Potential Mappingmentioning

confidence: 99%

Insights from Novel Noninvasive CT and ECG Imaging Modalities on Electromechanical Myocardial Activation in a Canine Model of Ischemic Dyssynchronous Heart Failure

Dawoud

Schuleri

Spragg

et al. 2016

Cardiovasc electrophysiol

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“…14), one at basal-anterior LV (segment 1) and the other at apical-inferior LV (segment 15). Previous attempts to resolve these two separate infarct regions have failed [5], [48]- [50]. As shown in Fig.…”

Section: Human Studymentioning

confidence: 99%

Noninvasive Transmural Electrophysiological Imaging Based on Minimization of Total-Variation Functional

Dehaghani

Gao

et al. 2014

IEEE Trans. Med. Imaging

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While tomographic imaging of cardiac structure and kinetics has improved substantially, electrophysiological mapping of the heart is still restricted to the surface with little or no depth information beneath. The progress in reconstructing 3-D action potential from surface voltage data has been hindered by the intrinsic ill-posedness of the problem and the lack of a unique solution in the absence of prior assumptions. In this work, we propose a novel adaption of the total-variation (TV) prior to exploit the unique spatial property of transmural action potential of being piecewise smooth with a steep boundary (gradient) separating depolarized and repolarized regions. We present a variational TV-prior instead of a common discrete TV-prior for improved robustness to mesh resolution, and solve the TV-minimization by a sequence of weighted, first-order L2-norm minimization. In a large set of phantom experiments, the proposed method is shown to outperform existing quadratic methods in preserving the steep gradient of action potential along the border of infarcts, as well as in capturing the disruption to the normal path of electrical wavefronts. Real-data experiments also further demonstrate the potential of the proposed method in revealing the location and shape of infarcts when quadratic methods fail to do so.

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“…Electrocardiographic and MRI data described above were made available to the wide community through PhysioNet/Computers in Cardiology Challenge 2007 [26, 27]. In order to objectively rank entries into the Challenge, George Moody of MIT and Galen Wagner of Duke Medical Center devised a scheme based on the American Heart Association 17-segment diagram [28]; the short-axis images obtained by DCE-MRI were distributed into layers of basal, mid-cavity and apical LV and each image was subdivided into angular AHA segments.…”

Section: Methodsmentioning

confidence: 99%

“…Delineation of infarct scar for cases 1 to 4 by means of epicardialelectrogram- morphology method of Dawoud [27]. Anterior and inferior views of the epicardial surface, with regions featuring electrograms of six types: Qr (yellow), QR (blue), qR (red), Rs (black), RS (green), and rS (cyan).…”

Section: Figurementioning

confidence: 99%

Noninvasive electrocardiographic imaging of chronic myocardial infarct scar

Horáček

Wang

Dawoud

et al. 2015

Journal of Electrocardiology

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Background Myocardial infarction (MI) scar constitutes a substrate for ventricular tachycardia (VT), and an accurate delineation of infarct scar may help to identify reentrant circuits and thus facilitate catheter ablation. One of the recent advancements in characterization of a VT substrate is its volumetric delineation within the ventricular wall by noninvasive electrocardiographic imaging. This paper compares, in four specific cases, epicardial and volumetric inverse solutions, using magnetic resonance imaging (MRI) with late gadolinium enhancement as a gold standard. Methods For patients with chronic MI, who presented at Glasgow Western Infirmary, delayed-enhancement MRI and 120-lead body surface potential mapping (BSPM) data were acquired and 4 selected cases were later made available to a wider community as part of the 2007 PhysioNet/Computers in Cardiology Challenge. These data were used to perform patient-specific inverse solutions for epicardial electrograms and morphology-based criteria were applied to delineate infarct scar on the epicardial surface. Later, the Rochester group analyzed the same data by means of a novel inverse solution for reconstructing intramural transmembrane potentials, to delineate infarct scar in three dimensions. Comparison of the performance of three specific inverse-solution algorithms is presented here, using scores based on the 17-segment ventricular division scheme recommended by the American Heart Association. Results The noninvasive methods delineating infarct scar as three-dimensional (3D) intramural distribution of transmembrane action potentials outperform estimates providing scar delineation on the epicardial surface in all scores used for comparison. In particular, the extent of infarct scar (its percentage mass relative to the total ventricular mass) is rendered more accurately by the 3D estimate. Moreover, the volumetric rendition of scar border provides better clues to potential targets for catheter ablation. Conclusions Electrocardiographic inverse solution providing transmural distribution of ventricular action potentials is a promising tool for noninvasively delineating the extent and location of chronic MI scar. Further validation on a larger data set with detailed gold-standard data is needed to confirm observations reported in this study.

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Using inverse electrocardiography to image myocardial infarction—reflecting on the 2007 PhysioNet/Computers in Cardiology Challenge

Cited by 29 publications

References 12 publications

Insights from Novel Noninvasive CT and ECG Imaging Modalities on Electromechanical Myocardial Activation in a Canine Model of Ischemic Dyssynchronous Heart Failure

Insights from Novel Noninvasive CT and ECG Imaging Modalities on Electromechanical Myocardial Activation in a Canine Model of Ischemic Dyssynchronous Heart Failure

Noninvasive Transmural Electrophysiological Imaging Based on Minimization of Total-Variation Functional

Noninvasive electrocardiographic imaging of chronic myocardial infarct scar

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