Regularization in cardiac source imaging

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

Volumn 2674, Issue , 2003, Pages 101-111

  Lunttila, Tuomas ^a   Nenonen, Jukka ^a,b   Somersalo, Erkki ^a  

^a AALTO UNIVERSITY   (Finland)

^b HELSINKI UNIVERSITY CENTRAL HOSPITAL   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTERS;

BIOELECTRIC CURRENT; DETERMINISTIC METHODS; ILL-POSED INVERSE PROBLEM; MAGNETOCARDIOGRAPHIC; OPTIMAL REGULARIZATION; REGULARIZATION METHODS; SOURCE DISTRIBUTION; STATISTICAL INVERSION;

INVERSE PROBLEMS;

EID: 34047140155     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44883-7_11     Document Type: Article

References (20)

1. Hämäläinen, M., Nenonen, J.: Magnetic Source Imaging. In Engineering Superconductivity, P.J. Lee, ed. (Wiley, New York, 2001) 464-479
2. Nenonen, J.: Magnetocardiography. In: Braginski, A., Clarke, J., editors, SQUID handbook. Wiley-VCH Verlag, Berlin (2003)
3. Nenonen, J., Pesola, K., Hänninen, H., Lauerma, K., Takala, P., Mäkelä, T., Mäkijärvi, M., Knuuti, J., Toivonen, L., Katila, T.: Current-Density estimation of exercise-induced ischemia in patients with multivessel coronary artery disease. J. Electrocardiol. 34(suppl.) (2001) 37-42
4. Horáček, B.M., Clements, J.: The inverse problem of electrocardiography: A solution in terms of single- and double-layer sources on the epicardial surface. Math. Biosci. 144 (1997) 119-154
5. van Oosterom, A.: The use of the spatial covariance in computing pericardial potentials. IEEE Trans. Biomed. Eng. 46 (1999) 778-787
6. Tilg, B., Fischer, G., Modre, R., Hanser, F., Messnarz, B., Schocke, M., Kremser, C., Berger, T., Hintringer, F., Roithinger, F.: Model-based imaging of cardiac electrical excitation in humans. IEEE Trans. Med. Im. 21 (2002) 1031-1039
7. Golub, G., van Loan, C.: Matrix Computations (2nd edition). Johns Hopkins University Press, Baltimore (1989)
8. Tikhonov, A., Arsenin, V.: Solutions of Ill-Posed Problems. Winston & Sons, Washington (1977)
9. Hansen, P.: Analysis of doscrete ill-posed problems by means of the L-curve. SIAM Review 34 (1992) 561-580
10. Foster, M.: An application of Wiener-Kolmogorov smoothing theory to matrix inversion. J. Soc. Ind. Appl. Math. 9 (1961) 387-392
11. Martin, R., Pilkington, T., Morrow, M.: Statistically constrained inverse electrocardiography. J. Soc. Ind. Appl. Math. 22 (1975) 487-492
12. Tarantola, A.: Inverse Problem Theory. Elsevier, Amsterdam (1987)
13. Kaipio, J., Kolehmainen, V., Somersalo, E., Vauhkonen, M.: Statistical inversion and Monte Carlo sampling methods in electrical impedance tomography. Inverse Problems 16 (2000) 1487-1522
14. Ollikainen, J., Vauhkonen, M., Karjalainen, P., Kaipio, J.: A new computational approach for cortical imaging. IEEE Trans. Med. Im. 20 (2001) 325-332
15. Baillet, S., Mosher, J., Leahy R.: Electromagnetic brain mapping. IEEE Signal Proc. Magazine 18 (2001) 14-30
16. Tierney, L.: Markov Chains for exploring posterior distributions. Ann. Stat. 22 (1994) 1701-1762
17. Gilks, W., Roberts, G., George, E.: Markov Chain Monte Carlo in Practice. Chapman and Hall, London (1996)
18. Ising, E.: Beitrag zur Theorie des Ferromagnetismus. Zeitschr.f. Physik 31 (1925) 253-258
19. Colli-Franzone, P., Guerri, L., Viganotti, C., Macchi, E., Baruffi, S., Spaggiari, S., Taccardi, B.: Potential fields generated by oblique dipole layers modeling excitation wavefronts in the anisotropic myocardium. Circulation Res. 51 (1982) 330-346
20. Cuffin, N., Cohen, D.: Magnetic fields of a dipole in special volume conductor shapes. IEEE Trans. Biomed. Eng. 24 (1977) 372-381