Towards noninvasive 3D imaging of cardiac arrhythmias

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4466 LNCS, Issue , 2007, Pages 280-289

  Wang, Linwei ^a   Zhang, Heye ^a   Shi, Pengcheng ^a,b  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b SOUTHERN MEDICAL UNIVERSITY   (China)

Author keywords

Bayesian framework; Cardiac arrhythmias; Data assimilation; Noninvasive 3D imaging of cardiac electrophysiology

Indexed keywords

CELL MEMBRANES; DISEASES; MEDICAL IMAGING; NONINVASIVE MEDICAL PROCEDURES; THREE DIMENSIONAL COMPUTER GRAPHICS;

BAYESIAN FRAMEWORK; CARDIAC ARRHYTHMIAS; DATA ASSIMILATION; NONINVASIVE 3D IMAGING OF CARDIAC ELECTROPHYSIOLOGY;

ELECTROCARDIOGRAPHY;

EID: 34548086210     PISSN: 03029743     EISSN: 16113349     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-72907-5_29     Document Type: Conference Paper

References (15)

1. Nash, M.P., Pullan, A.J.: Challenges facing validation of noninvasive electrical imaging of the heart. A N E (1) pp. 73-82 (2005)
2. Malkin, R.A. et al.: Advances in electrical and mechanical cardiac mapping. Physiol Meas 26, 1-14 (2005)
3. Oster, H.S., Taccardi, B., Lux, R.L., Ershler, P.R., Rudy, Y.: Noninvasive electro-cardiographic imaging: reconstruction of epicardial potentials, electrograms, and isochrones and localization of single and multiple electrocardiac events. Circ. 96, 1012-1024 (1997)
4. Huiskamp, G., Greensite, F.: A new method for myocardial activation imaging. IEEE Trans. Bio. Med. Eng. 44(6), 446 (1997)
5. Pullan, A.J., Cheng, L.K., Nash, M.P., Bradley, C.P., Paterson, D.J.: Noninvasive electrical imaging of the heart: theory and model development. ABME pp. 817-836 (2001)
6. Messnarz, B., Modre, B.T.R., Fischer, G., Hanser, F.: A new spatiotemporal regularization approach for reconstruction of cardiac transmembrane potential patterns. IEEE Trans. Biomed. Eng. 51(2), 273-281 (2004)
7. He, B., Li, G., Zhang, X.: Noninvasive imaging of cardiac transmembrane potentials within three-dimensional myocardium by means of a realistic geometry aniostropic heart model. IEEE Trans.Biomed.Eng. 50, 1190-1202 (2003)
8. Wang, L., Zhang, H., Liu, H., Shi, P.: Imaging of 3d cardiac electrical activity: A model-based recovery framework. In: MICCAI. vol. I, pp. 792-799 (2006)
9. Oster, H.S., Taccardi, B., Lux, R.L., Ershler, P.R., Rudy, Y.: Electrocardiographic imaging: noninvasive characterization of intramural myocardial activation from inverse-reconstructed epicardial potentials and electrograms. Circ. 97, 1496-1507 (1998)
10. Rabinovitch, A., Aviram, I., Gulko, N., Ovsyshcher, E.: A model for the propagation of action potentials in non-uniformly excitable media. J. theor Biol. 196, 141-154 (1999)
11. Rogers, J.M., McCulloch, A.D.: A collocation-galerkin finite element model of cardiac action potential propagation. IEEE Trans Biomed Eng. 41(8), 743-757 (1994)
12. Julier, S., Uhlmann, J.: A new extension of the kalman filter to nonlinear systems. In: AeroSense. pp. 182-193 (1997)
13. Mclachlan, G.J., Basford, K.E.: Mixture models: inference and applications to clustering, N.Y (1988)
14. MacLeod, R., Johnson, C., Ershler, P.: Construction of an inhomogeneous model of the human torso for use in computational electrocardiography. In: IEEE EMBS. (1991) 688-689
15. Nash, M.: Mechanics and Material Properties of the Heart using an Anatomically Accurate Mathematical Model. PhD thesis, Univ. of Auckland, New Zealand (1998)