Access the full text.
Sign up today, get DeepDyve free for 14 days.
Leo Cheng, J. Bodley, A. Pullan (2003)
Comparison of potential- and activation-based formulations for the inverse problem of electrocardiologyIEEE Transactions on Biomedical Engineering, 50
B. Messinger-Rapport, Y. Rudy (1988)
Regularization of the inverse problem in electrocardiography: A model studyBellman Prize in Mathematical Biosciences, 89
A. SippensGroenewegen, H. Spekhorst, N. Hemel, Herre Kingma, R. Hauer, J. Bakker, C. Grimbergen, M. Janse, A. Dunning (1993)
Localization of the Site of Origin of Postinfarction Ventricular Tachycardia by Endocardial Pace Mapping Body Surface Mapping Compared With the 12‐Lead ElectrocardiogramCirculation, 88
R. Lu, B. Steinhaus, A. Dawson (1992)
The occurrence of anodal stimulation during bipolar pacing in implantable pacemakersProceedings Computers in Cardiology
Malcolm Legget, D. Leotta, E. Bolson, J. McDonald, Roy Martin, Xiang-Ning Li, C.M. Otto, Florence Sheehan (1998)
System for quantitative three-dimensional echocardiography of the left ventricle based on a magnetic-field position and orientation sensing systemIEEE Transactions on Biomedical Engineering, 45
R. M. T. Lu, B. M. Steinhaus, A. K. Dawson (1992)
IEEE Computers in Cardiology
P. Hansen, D. O’Leary (1993)
The Use of the L-Curve in the Regularization of Discrete Ill-Posed ProblemsSIAM J. Sci. Comput., 14
A. Waller (1887)
A Demonstration on Man of Electromotive Changes accompanying the Heart's BeatThe Journal of Physiology, 8
E. Goldberger (1942)
A simple, indifferent, electrocardiographic electrode of zero potential and a technique of obtaining augmented, unipolar, extremity leadsAmerican Heart Journal, 23
F. Greensite, G. Huiskamp (1998)
An improved method for estimating epicardial potentials from the body surfaceIEEE Transactions on Biomedical Engineering, 45
B. Messnarz, M. Seger, R. Modre, G. Fischer, F. Hanser, B. Tilg (2004)
A comparison of noninvasive reconstruction of epicardial versus transmembrane potentials in consideration of the null spaceIEEE Transactions on Biomedical Engineering, 51
R. Schulte, G. Sands, F. Sachse, O. Dössel, A. Pullan (2001)
Creation of a Human Heart, Model and its Customisation using Ultrasound Images, 46
M. Kass, A. Witkin, Demetri Terzopoulos (2004)
Snakes: Active contour modelsInternational Journal of Computer Vision, 1
G. Huiskamp, F. Greensite (1997)
A new method for myocardial activation imagingIEEE Transactions on Biomedical Engineering, 44
L. K. Cheng, J. M. Bodley, A. J. Pullan (2003)
The effect of experimental and modeling errors on electrocardiographic inverse problemsIEEE Trans. Biomed. Eng., 50
D. Onnasch, G. Prause (1992)
Geometric image correction and iso-center calibration at oblique biplane angiographic viewsProceedings Computers in Cardiology
P. Johnston, R. Gulrajani (1997)
A new method for regularization parameter determination in the inverse problem of electrocardiographyIEEE Transactions on Biomedical Engineering, 44
B. J. Messinger-Rapport, Y. Rudy (1998)
Regularization of the inverse problem in electrocardiography: A model studyMath. Biosci., 89
R. Ghanem, Ping Jia, Y. Rudy (2003)
Heart-surface reconstruction and ECG electrodes localization using fluoroscopy, epipolar geometry and stereovision: application to noninvasive imaging of cardiac electrical activityIEEE Transactions on Medical Imaging, 22
K. Pesola, K. Pesola, J. Nenonen, J. Nenonen, R. Fenici, J. Lötjönen, M. Mäkijärvi, P. Fenici, P. Korhonen, K. Lauerma, M. Valkonen, M. Valkonen, L. Toivonen, T. Katila, T. Katila (1999)
Bioelectromagnetic localization of a pacing catheter in the heart.Physics in medicine and biology, 44 10
R. Barr, M. Spach (1978)
Inverse Calculation of QRS‐T Epicardial Potentials from Body Surface Potential Distributions for Normal and Ectopic Beats in the Intact DogCirculation Research, 42
Andrew Pullan, Leo Cheng, M. Nash, C. Bradley, David Paterson (2001)
Noninvasive Electrical Imaging of the Heart: Theory and Model DevelopmentAnnals of Biomedical Engineering, 29
Charulatha Ramanathan, R. Ghanem, Ping Jia, K. Ryu, Y. Rudy (2004)
Noninvasive electrocardiographic imaging for cardiac electrophysiology and arrhythmiaNature Medicine, 10
H. Oster, B. Taccardi, R. Lux, P. Ershler, Y. Rudy (1997)
Noninvasive electrocardiographic imaging: reconstruction of epicardial potentials, electrograms, and isochrones and localization of single and multiple electrocardiac events.Circulation, 96 3
C. Bradley, A. Pullan, Peter Hunter (2007)
Geometric modeling of the human torso using cubic hermite elementsAnnals of Biomedical Engineering, 25
R. Modre, B. Tilg, G. Fischer, P. Wach (2002)
Noninvasive myocardial activation time imaging: a novel inverse algorithm applied to clinical ECG mapping dataIEEE Transactions on Biomedical Engineering, 49
Leo Cheng, J. Bodley, A. Pullan (2003)
Effects of experimental and modeling errors on electrocardiographic inverse formulationsIEEE Transactions on Biomedical Engineering, 50
D. G. W. Onnasch, G. P. M. Prause (1992)
IEEE Computers in Cardiology Conf., Durham, NC
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.
Medical & Biological Engineering & Computing – Springer Journals
Published: Feb 22, 2006
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.