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Rotation to physiological factors revised. (English) Zbl 1274.62410
Summary: Reconstruction of underlying physiological structures from a sequence of images is a long-standing problem which has been solved by factor analysis with a success. This paper tries to return to the roots of the problem, to exploit the available findings and to propose an improved paradigm.
MSC:
62H25 Factor analysis and principal components; correspondence analysis
62H35 Image analysis in multivariate analysis
62F15 Bayesian inference
92C55 Biomedical imaging and signal processing
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References:
[1] Golub G. H., VanLoan C. F.: Matrix Computations. The John Hopkins University Press, Baltimore - London 1989
[2] Kárný M., Šámal M.: Bayesian rank estimation with application to factor analysis. Kybernetika 30 (1994), 4, 433-443 · Zbl 0813.62056
[3] Peterka V.: Bayesian system identification. Trends and Progress in System Identification (P. Eykhoff, Pergamon Press, Oxford 1981, pp. 239-304 · Zbl 0451.93059
[4] Šámal M., Kárný M., Backfrieder W., Kletter K., Bergmann H.: Bayesian identification of compartment structures in dynamic scintigraphic data. Radioactive Isotopes in Clinical Medicine and Research (H. Bergmann and H. Sinzinger, Birkhäuser Verlag, Basel 1995, pp. 123-128
[5] Šámal M., Kárný M., Sůrová H., Dienstbier Z.: Theoretical and experimental basis of the clinical use of factor analysis. Radioactive Isotopes in Clinical Medicine and Research (R. Höffer, H. Bergmann, and H. Sinzinger, Schattauer Verlag, Stuttgart, New York 1991, pp. 200-203
[6] Šámal M., Kárný M., Zahálka D.: Bayesian identification of a physiological model in dynamic scintigraphic data. Information Processing in Medical Imaging, Springer 1993, pp. 422-437
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