Method and apparatus for remote tissue identification by statist

Surgery – Truss – Pad

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73602, A61B 1000

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active

045427445

ABSTRACT:
Apparatus and methods for remote identification of tissue types model the scattering of ultrasound energy from living tissue as an autoregressive or autoregressive moving average random process. Autoregressive or autoregressive moving average models of candidate tissue types are generated from pulse-echo data that is known to come from that particular tissue type. Kalman prediction error filters are used for each candidate tissue type to generate estimates of the probability that an unknown pulse echo signal belongs to the class generated by that tissue type. Unknown pulse-echo signals are filtered in a specific Kalman filter to test the hypothesis that the unknown signal belongs to the class associated with that particular Kalman filter.

REFERENCES:
patent: 4414850 (1983-11-01), Miwa et al.
patent: 4428235 (1984-01-01), Sugiyama
Chivers, R. C. et al., "Frequency Dependence of UTS Backscattering Cross-Sections: An Indicator of Tissue Structure Char.", Conf. 2nd Wd. Congress on UTS in Med., Rotterdam, Jun. 1973, pp. 300-303.
Lorenz, W. J. et al., "Computer Analysis of A-Scan for Detection of Generalized Diseases of the Liver", Proc. of 2nd European Cong. on UTS in Med., Munich, Germany, Mar. 1975.
Sokoller, A. et al., "Methods of Tissue ID by UTS Spectra", NBS Special Publ. 453, May 1975.

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