A patient specific electro-mechanical model of the heart

Computer Methods and Programs in Biomedicine

Volumn 101, Issue 2, 2011, Pages 183-200

  Szilágyi, Sándor M ^a   Szilágyi, László ^a,b   Benyó, Zoltán ^b  

^a SAPIENTIA HUNGARIAN UNIVERSITY OF TRANSYLVANIA   (Romania)

^b BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

Active appearance motion model; Cardiac image processing; Electro mechanical heart model; Evolutionary computation; Parameter reduction; Patient specific analysis

Indexed keywords

CARDIAC IMAGES; ELECTRO-MECHANICAL; EVOLUTIONARY COMPUTATIONS; MOTION MODELS; PARAMETER REDUCTION; PATIENT SPECIFIC ANALYSIS;

ABSTRACTING; BIOMECHANICS; CALCULATIONS; DEFORMATION; ELECTRIC PROPERTIES; ELECTROPHYSIOLOGY; IMAGE PROCESSING; IMAGING SYSTEMS; MECHANICAL PROPERTIES;

HEART;

ANISOTROPY; ARTICLE; HEART; HEART ATRIUM; HEART CONTRACTION; HEART DEPOLARIZATION; HEART ELECTROPHYSIOLOGY; HEART VENTRICLE;

HEART; HUMANS; MODELS, ANATOMIC;

EID: 79951772199     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2010.06.006     Document Type: Article

References (71)

1. Winfree A.T. Electrical turbulence in three-dimensional heart muscle. Science 1994, 266:1003-1006.
2. Panfilov A.V. Three-dimensional organization of electrical turbulence in the heart. Physical Review E 1999, 59:R6251-R6254.
3. Sainte-Marie J., Chapelle D., Cimrman R., Sorine M. Modeling and estimation of the cardiac electromechanical activity. Computers & Structures 2006, 84(28):1743-1759.
4. Coghlan H.C., Coghlan A.R., Buckberg G.D., Cox J.L. The electrical spiral of the heart: its role in the helical continuum. The hypothesis of the anisotropic conducting matrix. European Journal of Cardio-Thoracic Surgery 2006, 29(1):S178-S187.
5. Caillerie D., Mourad A., Raoult A. Toward a fiber-based constitutive law for the myocardium. Proceedings of Modeling and Simulation for Computer-Aided Medicine and Surgery 2002, 25-30.
6. Antzelevitch C., Shimizu W., Yan G.X., Sicouri S., Weissenburger J., Nesterenko V.V., Burashnikov A., Di Diego J., Saffitz J., Thomas G.P. The M cell: Its contribution to the ECG and to normal and abnormal electrical function of the heart. Journal of Cardiovascular Electrophysiology 1999, 10(9):1124-1152.
7. Cherry E.M., Greenside H.S., Henriquez C.S. A space-time adaptive method for simulating complex cardiac dynamics. Physical Review Letters 2000, 84(6):1343-1346.
8. Hedley P.L., Jørgensen P., Schlamowitz S., Moolman-Smook J., Kanters J.K., Corfield V.A., Christiansen M. The genetic basis of Brugada syndrome: a mutation update. Human Mutatation 2009, 30(9):1256-1266.
9. Mangoni M.E., Traboulsie A., Leoni A.L., Couette B., Marger L., Le Quang K., Kupfer E., Cohen-Solal A., Vilar J., Shin H.S., Escande D., Charpentier F., Nargeot J., Lory P.P. Bradycardia and slowing of the atrioventricular conduction in mice lacking CaV3.1/alpha1G T-type calcium channels. Circulation Research 2006, 98(11):1422-1430.
10. Sarai N., Matsuoka S., Kuratomi S., Ono K., Noma A. Role of individual ionic current systems in the SA node hypothesized by a model study. Japanese Journal of Physiology 2003, 53(2):125-134.
11. Courtemanche M., Ramirez R.J., Nattel S. Ionic mechanisms underlying human atrial action potential properties: insights from a mathematical model. AJP Heart and Circulatory Physiology 1998, 275(1):H301-H321.
12. Harrild D.M., Henriquez C.S. A computer model of normal conduction in the human atria. Circulation Research 2000, 87(1):25-36.
13. Nygren A., Fiset C., Firek L., Clark J.W., Lindblad D.S., Clark R.B., Giles W.R. Mathematical model of an adult human atria cell: the role of K+ currents in repolarization. Circulation Research 1998, 82(1):63-81.
14. Simitev R.D., Biktashev V.N. Conditions for propagation and block of excitation in an asymptotic model of atrial tissue. Biophysical Journal 2006, 90(7):2258-2269.
15. James T.N. The internodal pathways of the human heart. Progress in Cardiovascular Diseases 2001, 43(6):495-535.
16. Inada S., Hancox J.C., Zhang H., Boyett M.R. One-dimensional mathematical model of the atrioventricular node including atrio-nodal, nodal, and nodal-his cells. Biophysical Journal 2009, 97(8):2117-2127.
17. ten Tusscher K.H.W.J., Panfilov A.V. Modelling of the ventricular conduction system. Progress in Biophysics and Molecular Biology 2008, 96(1-3):152-170.
18. Bernus O., Wilders R., Zemlin C.W., Verschelde H., Panfilov A.V. A computationally efficient electrophysiological model of human ventricular cells. American Journal of Physiology 2002, 282(6):H2296-H2308.
19. Priebe L., Beuckelmann D.J. Simulation study of cellular electric properties in heart failure. Circulation Research 1998, 82(11):1206-1223.
20. ten Tusscher K.H.W.J., Bernus O., Hren R., Panfilov A.V. Comparison of electrophysiological models for human ventricular cells and tissues. Progress in Biophysics and Molecular Biology 2006, 90(1-3):326-345.
21. Sermesant M., Peyrat J.M., Chinchapatnam P., Billet F., Mansi T., Rhode K., Delingette H., Razavi R., Ayache N. Toward patient-specific myocardial models of the heart. Heart Failure Clinics 2008, 4(3):289-301.
22. Moireau P., Chapelle D., Le Tallec P. Joint state and parameter estimation for distributed mechanical systems. Computer Methods in Applied Mechanics and Engineering 2008, 197(6-8):659-677.
23. ten Tusscher K.H.W.J., Hren R., Panfilov A.V. Organization of ventricular fibrillation in the human heart. Circulation Research 2007, 100(12):e87-e101.
24. Winslow R.L., Hinch R., Greenstein J.L. Mechanisms and models of cardiac excitation-contraction coupling. Lecture Notes in Mathematics 2005, 1867:97-131.
25. Sermesant M., Moireau P., Camara O., Sainte-Marie J., Andriantsimiavona R., Cimrman R., Hill D.L.G., Chapelle D., Razavi R. Cardiac function estimation from MRI using a heart model and data assimilation: advances and difficulties. Medical Image Analysis 2006, 10(4):642-656.
26. Park K., Metaxas D., Axel L. A finite element model for functional analysis of 4D cardiac-tagged MR images. Lecture Notes in Computer Science 2003, 2878:491-498.
27. Szilágyi S.M., Szilágyi L., Benyó Z. Spatial heart simulation and analysis using unified neural network. Advances in Soft Computing 2007, 41:346-354.
28. Szilágyi S.M. Event recognition, separation and classification from ECG recordings. Proceedings of the 20th Annual International Conference of IEEE EMBS 1998, 236-239.
29. Dumoulin S.O., Hoge R.D., Baker C.L., Hess R.F., Achtman R.L., Evans A.C. Automatic volumetric segmentation of human visual retinotopic cortex. Neuroimage 2003, 18(3):576-587.
30. Mirvis D.M. Validation of body surface electrocardiographic mapping. Body Surface Electrocardiographic Mapping 1988, 63-74. Kluwer Academic Publishers, Boston/Dordrecht/London. D.M. Mirvis (Ed.).
31. Noble D. Modeling the heart. Physiology 2004, 19(4):191-197.
32. Moreau-Villéger V., Delingette H., Sermesant M., Ashikaga H., McVeigh E., Ayache N. Building maps of local apparent conductivity of the epicardium with a 2-D electrophysiological model of the heart. IEEE Transactions on Biomedical Engineering 2006, 53(8):1457-1466.
33. MacLeod R.S., Brooks D.H. Recent progress in inverse problems in electrocardiology. IEEE EMBS Magazine 1998, 17(1):73-83.
34. Shahidi A.V., Savard P., Nadeau R. Forward and inverse problems of electrocardiography: modeling and recovery of epicardial potentials in humans. IEEE Transactions on Biomedical Engineering 1994, 41(3):249-256.
35. Cuppen J.J.M., van Oosterom A. Model studies with the inversely calculated isochrones of ventricular depolarization. IEEE Transactions on Biomedical Engineering 1984, 31(10):652-659.
36. Li G.L., He B. Localization of the site of origin of cardiac activation by means of a heart-model-based electrocardiographic imaging approach. IEEE Transacions on Biomedical Engineering 2001, 48(6):660-669.
37. Evans A.N., Nixon M.S. Biased motion-adaptive temporal filtering for speckle reduction in echocardiography. IEEE Transactions on Medical Imaging 1996, 15(1):39-50.
38. Geiser E.A., Wilson D.C., Wang D.X., Conetta D.A., Murphy J.D., Hutson A.D. Autonomous epicardial and endocardial boundary detection in echocardiographic short-axis images. Journal of the American Society of Echocardiography 1998, 11(4):338-348.
39. Brotherton T., Pollard T., Simpson P., DeMaria A. Echocardiogram structure and tissue classification using hierarchical fuzzy neural networks. IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. II 1994, 573-576.
40. Dias J.M.B., Leitão J.M.N. Wall position and thickness estimation from sequences of echocardiographic images. IEEE Transactions on Medical Imaging 1996, 15(1):25-38.
41. Belohlavek M., Manduca A., Behrenbeck T., Seward J.B., Greenleaf J.F. Image analysis using modified self-organizing maps: automated delineation of the left ventricular cavity in serial echocardiograms. Lecture Notes in Computer Science 1996, 1131:247-252.
42. Chalana V., Linker D.T., Haynor D.R., Kim Y. A multiple active contour model for cardiac boundary detection on echocardiographic sequences. IEEE Transactions on Medical Imaging 1996, 15(3):290-298.
43. Duncan J.S., Ayache N. Medical image analysis: progress over two decades and the challenges ahead. IEEE Transactions on Pattern Analysis and Machine Intelligence 2000, 22(1):85-105.
44. Montagnat J., Delingette H., Malandain G. Cylindrical echocardiographic image segmentation based on 3-D deformable models. Lecture Notes in Computer Science 1999, 1679:168-176.
45. Angelini E.D., Laine A.F., Takuma S., Holmes J.W., Homma S. LV volume quantification via spatiotemporal analysis of real-time 3-D echocardiography. IEEE Transactions on Medical Imaging 2001, 20(6):457-469.
46. Hamarneh G., Gustavsson T. Deformable spatio-temporal shape models: extending ASM to 2D+time. Journal of Image and Vision Computing 2004, 22(6):461-470.
47. Lelieveldt B.P.F., Mitchell S.C., Bosch J.G., van der Geest R., Sonka M., Reiber J. Time continuous segmentation of cardiac image sequences using active appearance motion models. Lecture Notes in Computer Science 2001, 2082:446-452.
48. Bosch J.G., Mitchell S.C., Lelieveldt B.P.F., Nijland F., Kamp O., Sonka M., Reiber J.H.C. Automatic segmentation of echocardiographic sequences by active appearance motion models. IEEE Transactions on Medical Imaging 2002, 21(11):1374-1383.
49. Sermesant M., Delingette H., Ayache N. An electromechanical model of the heart for image analysis and simulation. IEEE Transactions on Medical Imaging 2006, 25(5):612-625.
50. Minami K., Nakajima H., Yoyoshima T. Real time discrimination of the ventricular tachyarrhythmia with Fourier-transform neural network. IEEE Transactions on Biomedical Engineering 1999, 46(2):179-185.
51. Thaker N.V., Ferrero J.M. Electrophysiologic models of heart cells and cell networks. IEEE EMBS Magazine 1998, 17(5):73-83.
52. Szilágyi S.M., Benyó Z., Dávid L. Heart model based ECG signal processing. Proceedings of the 5th IFAC Symposium on Modelling and Control in Biomedical Systems 2003, 213-217.
53. Smola A., Scholkopf B. A Tutorial on Support Vector Regression. NeuroColt Tech. Rep. NV2-TR-1998-030. 1998, Royal Holloway College University, London, UK.
54. Osowski S., Hoai L.T. ECG beat recognition using fuzzy hybrid neural network. IEEE Transactions on Biomedical Engineering 2001, 48(11):1265-1271.
55. Chapelle D., Moireau P. Robust filtering for joint state-parameter estimation in distributed mechanical systems. Discrete and Continuous Dynamical Systems 2009, 23(1&2):65-84.
56. ten Tusscher K.H.W.J., Noble D., Noble P.J., Panfilov A.V. A model for human ventricular tissue. AJP Heart and Circulatory Physiology 2004, 286(4):H1573-H1589.
57. Negroni J.A., Lascano E.C. A cardiac muscle model relating sarcomere dynamics to calcium kinetics. Journal of Molecular and Cellular Cardiology 1996, 28(5):915-929.
58. Eggen M.D., Swingen C.M., Iazzo P.A. Analysis of fiber orientation in normal and failing human hearts using diffusion tensor MRI. Proceedings of IEEE International Symposium on Biomedical Imaging 2009, 642-645.
59. Burton F.L., Cobbe S.M. Dispersion of ventricular repolarization and refractory period. Cardiovascular Research 2001, 50(1):10-23.
60. Winslow R.L., Scollan D.F., Holmes A., Yung C.K., Zhang J., Jafri M.S. Electrophysiological modeling of cardiac ventricular function: from cell to organ. Annual Review of Biomedical Engineering 2000, 2(2):119-155.
61. Szilágyi S.M., Szilágyi L., Benyó Z. Volumetric analysis of the heart using echocardiography. Lecture Notes in Computer Science 2007, 4466:81-90.
62. Hsu E., Henriquez C. Myocardial fiber orientation mapping using reduced encoding diffusion tensor imaging. Journal of Cardiovascular Magnetic Resonance 2001, 3(4):325-333.
63. Quan W., Evans S.J. Efficient integration of a realistic two-dimensional cardiac tissue model by domain decomposition. IEEE Transactions on Biomedical Engineering 1998, 45(3):372-384.
64. Pommert A., Höhne K.-H., Pflesser B., Richter E., Riemer M., Schiemann T., Schubert R., Schumacher U., Tiede U. Creating a high-resolution spatial/symbolic model of the inner organs based on the visible human. Medical Image Analysis 2001, 5(3):221-228.
65. Szilágyi S.M., Szilágyi L., Benyó Z. Spatial visualization of the heart in case of ectopic beats and fibrillation. Lecture Notes in Computer Science 2007, 4872:548-561.
66. Häfner J., Sachse F., Sansour C., Seemann G., Dössel O. Hyperelastic description of elastomechanic properties of the heart: a new material law and its application. Biomedizinische Technik 2002, 47(Suppl. 1):770-773.
67. Fast V.G., Rohr S., Gillis A.M., Kléber A.G. Activation of cardiac tissue by extracellular electrical shocks: formation of 'secondary sources' at intercellular clefts in monolayers of cultured myocytes. Circulation Research 1998, 82(3):375-385.
68. Denis J., Woods D. Optimization on microcomputers. The Nelder-Mead Simplex Algorithm. New Computing Environments: Microcomputers in Large-Scale Computing 1987.
69. Lagarias J., Reeds J., Wright M., Wright P. Convergence properties of the Nelder-Mead simplex algorithm in low dimensions. SIAM Journal on Optimization 1998, 9(1):112-147.
70. Szilágyi L., Iclǎnzan D., Szilágyi S.M., Dumitrescu D. GeCiM: a novel generalized approach to c-means clustering. Lecture Notes in Computer Science 2008, 5197:235-242.
71. Godefroid P., Khurshid S. Exploring very large state spaces using genetic algorithms. Lecture Notes in Computer Science 2002, 2280:266-280.