HYDROACOUSTICS
ANNUAL JOURNAL
START NEW VOL 20 SEARCH STATISTICS PAS - GDANSK DIVISION

Statistical properties of wavelet transform coefficients of backscattering signal from soft tissues and their phantoms

pp. 59-66, vol. 16, 2013

Barbara Gambin
Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland

Olga Doubrovina
Belarussian State University, Minsk, Belarus

Key words: ultrasound; microsonograph

Abstract: The paper contains the wavelet approach to registered backscattered RF signals from two different cases. First, the wavelet analysis has been performed for RF signals registered from soft tissue phantoms. The second case is the wavelet analyses of RF scattered signals from regions of healthy and BCC changed human skin. The three phantoms made from tissue- mimicking material with different structures have been measured. We claim that there are visible differences in the statistical parameters of wavelets coefficients of signals between healthy and BCC changed skin regions as well as between phantoms without scatterers and with different number of strong small scatterers.

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© Polish Acoustical Society - Gdansk Department, Polish Academy of Sciences. This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported. (CC BY-NC-SA 3.0)