On the relevance of nonlinear analysis of time series associated to CT kidney images

2010 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2010 - Proceedings

Volumn 2, Issue , 2010, Pages 304-309

  Udrea, Andreea ^a   Costache, Luminita ^a   Olteanu, Mircea ^a   Popescu, Dumitru ^a  

^a UNIVERSITY POLITEHNICA OF BUCHAREST   (Romania)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PROCEDURE; CLASSIFICATION TOOL; CORRELATION DIMENSIONS; CT IMAGE; KIDNEY TISSUES; NONLINEAR TIME SERIES ANALYSIS METHODS; RECONSTRUCTED ATTRACTOR; RENAL TISSUE;

COMPUTERIZED TOMOGRAPHY; NONLINEAR ANALYSIS; ROBOTICS; TIME SERIES; TISSUE;

TIME SERIES ANALYSIS;

EID: 77958548079     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AQTR.2010.5520716     Document Type: Conference Paper

References (30)

1. Bassingthwaighte J.B., Liebovitch L.S., West B.J. "Fractal Physiology", New York, Oxford University Press, 1994.
2. A.B. Cambel: "Applied Chaos Theory", Acad. Press, 1993.
3. A.D. Cliff, J.K. Ord: "Spatial Autocorrelation", London, 1973.
4. R. Dragomir, M. Olteanu, M. Tanase: "The detection of modified structure in human tissues by computing the local fractal dimension" in Vol. Interdisciplinary applications of fractal and chaos theory, ed. Acad. Romane, 2004, p. 255-263.
5. L. Garrido (ed.): "Dynamical systems and chaos" Springer Lecture Notes in Physics, vol. 179, Springer-Verlag.
6. M. Gadea, C.P. Niculescu "Chaotic Dynamical Systems", Universitaria Press, 2001.
7. P. Grassberger, I. Procaccia: "Characterization of strange Attractors", Phys. Rev. Lett. 50, 346-349.
8. P. Grassberger, I. Procaccia: "Measuring the strangesness of strange attractors" Physica, 9D, 189-208.
9. R. Hegger, H. Kantz, T. Schreiber, "Practical implementation of nonlinear time series methods: The TISEAN package." Chaos 9, 413-435 (1999).
10. T. Higuchi, "Relationship between fractal dimension and the power -law index for a time series: A numerical investigation", Physica, D 46, 1990, 254-264.
11. P. Luzi, G. Bianciardi, C. Miracco, M.M. De Santi, M. Del Vecchio, L. Alia, P. Tosi, "Fractal analysis in human pathology ", Ann. N.Y. Acad. Sci. 879, 255-257, 1999.
12. T. Mattfeldt, H. Kestler: "Classification of pancreatic tissue texture on the basis of correlation dimensions and Lyapunov exponents using two types of artificial neural networks" in Vol. Interdisciplinary applications of fractal and chaos theory, ed. Acad. Romane, 2004, p. 225-240.
13. T. Mattfeldt, "Nonlinear deterministic analysis of tissue texture: a stereological study on mastopathic and mammary cancer tissue using chaos theory", J. Macrosc. 185, 47-66, 1997.
14. T. Mattfeldt, "Classification of binary spatial textures using stochastic geometry, nonlinear deterministic analysis and artificial neural networks", Inst J. Pattern Recogn. Artif. Intelligence 17. 2004.
15. M. Olteanu, V. Paun, M. Tanase, "Fractal Analysis of Zircaloy-4 Fracture Surface", Rev. Chim (Buc), 2005, vol.56, part 1, pag 96-100, ISSN 0034-7752.
16. M. Olteanu, V. Paun, M. Tanase, "The Analysis of time-series associated to SEM Microfractographies of Zircaloy-4", Rev. Chim (Buc), vol 56, Nr.7, 2005, ISSN 0034-7752.
17. M. Olteanu, M. Tanase, "An algorithm for the analysis of fractal-like structures and miscellanous applications", Proc. of 2004 IEEE-TTTC Int. Conf. On Automation, Quality and Testing, Robotics, tome 2, p.200-206, may 13-15, Cluj Napoca.
18. M. Olteanu, M. Tanase, "The fractal analysis of Darunta Military Camp Satellite Images.", Proc. of IEEE Int. Conf. "Communications 2004", p.245-250, june 2004, Bucharest.
19. A.R. Osborne, A. Provenzale, "Finite correlation dimension for stochastic systems with power-law spectra", Physica D 35, 1989 357-381.
20. Viorel-Puiu Paun, Mircea Olteanu, Alexandru Marin, "Time Series Analysis Associated to Hydrogen Effect in Hydrided Zircaloy-4 SEM Micrographs", Rev. Chim.. (Bucuresti), 58, Nr.3, 2007.
21. H-O. Peitgen, H. Jurgens, D. Saupe: "Chaos and Fractals - New Frontiers of Science", Springer, 2000.
22. W.S. Pritchard, D.W. Duke, "Measuring chaos in the brain : A tutorial review of EEG dimension estimation", Brain Cogn. 27, 353-397 (1995).
23. M.T. Rosenstein, J.J. Collins, C.J. De Luca, "A practical method for calculating largest Lyapunov exponents from small data series", Physica D 65, 117-134. 1993.
24. M.T. Rosenstein, J.J. Collins, C.J. De Luca, "Reconstruction expansion as a geometry-based framework for choosing proper delay times", Physica D 73, 82-98. 1994.
25. b - fluctuations, with special reference to heart rate variability", Biological Cybernetics, 73, 1995, 255-263.
26. F. Takens: "Detecting strange attractors in turbulence", Lectures Notes Math. 898, 366-381.
27. J.M.T.Thompson H.B.Stewart, "Nonlinear Dynamics and Chaos", Ed. J. Wiley and Sons, 1986.
28. W.R. Tobler, The spectrum of U.S. 40 Reg.Sci. Assoc. Papers 23, 45-52, 1969.
29. G. Landini, "Complexity in tumor growth patterns" in Fractals in Biology and Medicine, ed. G.A. Losa, Birkhauser Verlag, 1998, pg. 268-284.
30. R. Dobrescu, C. Vasilescu, "Interdisciplinary Applications Of Fractal And Chaos Theory", Academia Românǎ, Bucuresti, 2004.