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Computer- Aided Tissue Characterization for Human Eye

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Abstract

A promising tissue differentiation supposes a redundant acquisition of information on the interaction of ultrasonic energy with the examined tissue. The appropriate signal is the RF-time-amplitude echogram. The analysis of these echograms requires computer-aided methods of evaluation because — apart from attenuation - only in this case tissue dependent changes in the time, frequency and phase domain of the echogram can be recognized.

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References

  1. Decker, D.; Epple, E.; Leiss, W.; Nagel, M. (1973) Digital Computer Analysis of Time-Amplitude Ultrasonograms from the Human Eye II. Data Processing, Journ. of CI in.Ultrasound, 1, 2 156–159

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  2. Decker, D.; Irion, K. (1979) A-mode RF-Signal analysis (frequency domain), Ultrasonic Tissue Characterization, Ed. J.M. Thijssen Stafleu’s Scientific Publishing Company, Brussels.

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  3. Decker, D.; Trier, H.-G.; Epple, E.; Reuter, R.; Nagel, M.; Lepper, R.-D. (1980) Computer aided tissue differentiation in ophthalmology, Investigative Ultrasonologv, Eds. C.R.Hill, C.Alvisi, Pitman Medical

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  4. Decker, D.; Irion, K.M. (1980) Examination of thin tissue layers, Fifth Int. Symp. on Ultrasonic Imag. and Tissue Charact., Gaithersburg, USA

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  5. Decker, D.; Faust, U.; Irion, K.M. (1981) Examination of Thin Tissue Layers in the Human Eye, Med.Progr.Technol. 8, 83–91

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© 1982 Martinus Nijhoff Publishers, The Hague, Boston, London

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Decker, D., Irion, K.M. (1982). Computer- Aided Tissue Characterization for Human Eye. In: Thijssen, J.M., Nicholas, D. (eds) Ultrasonic Tissue Characterization. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-7666-5_10

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  • DOI: https://doi.org/10.1007/978-94-009-7666-5_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-009-7668-9

  • Online ISBN: 978-94-009-7666-5

  • eBook Packages: Springer Book Archive

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