Temperature level and properties of wavelet approximations of backscattered ultrasound

• Autorzy: Doubrovina O. , Gambin B. , Kruglenko E.
• Języki publikacji: EN

Abstrakty

EN

The aim of the paper is to find links between the dynamics of changes of statistical parameters and changes in spectral properties of the signal envelope of backscattered RF signals during the thermal process. We have shown previously that by using wavelet approximations these tendencies are better recognized in the case of the heating of a phantom sample than in the parallel analysis performed for a full signal envelope. Here we are currently expanding this statement to the case of heating a soft tissue sample in vitro. The shape parameter of the K- distributed random variable is considered as a statistical marker of temperature level changes. Additionally, the spectral properties of different levels of wavelet approximations are calculated and their sensitivity to temperature increase and decrease is demonstrated. Both approaches registering changes in temperature, are used in the case of the pork loin tissue sample in vitro, heated by an ultrasound beam with a different power.

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 2014
• Tom: Vol. 17
• Strony: 37--46
• Opis fizyczny: Bibliogr. 12 poz., rys.

Twórcy

autor

Doubrovina O.

• Belarussian State University, ul. Kurchatova, 5 220045 Minsk, Belarus

autor

Gambin B.

• Instytut Podstawowych Problemów Techniki Polskiej Akademii Nauk, st. Pawinskiego 5B, 02-106 Warsaw, Poland

autor

Kruglenko E.

• Instytut Podstawowych Problemów Techniki Polskiej Akademii Nauk, st. Pawinskiego 5B, 02-106 Warsaw, Poland

Bibliografia

• [1] B. Gambin, T. Kujawska, E. Kruglenko, A. Mizera, A. Nowicki, Temperature Field Induced by Low Power Focused Ultrasound on Soft Tissues During Gene Therapy. Numerical Predictions and Experimental Results, Archives of Acoustics, Vol. 34, 4, 445-459, 2009.
• [2] A. Mizera, B. Gambin, Stochastic modeling of the eukaryotic heat shock response, Journal of Theoretical Biology, 265, 3, 455-466, 2010.
• [3] A. Mizera, B. Gambin, Modelling of ultrasound therapeutic heating and numerical study of the dynamics of the induced heat shock response, Communication in Nonlinear Science and Numerical Simulation, 16, 5, 2342-2349, 2011.
• [4] B. Gambin, E. Kruglenko, T. Kujawska, M. Michajłow, Modeling of tissue in vivo heating induced by exposure to therapeutic ultrasound, Acta Physica Polonica A, 119, 950-956, 2011.
• [5] E. Kruglenko, B. Gambin, Some aspects of numerical modeling of temperature increase due to ultrasound beam irrediation of rat liver, Hydroacoustics, 14, 99-110, 2011.
• [6] Quantitative Ultrasound in Soft Tissues, Ed. J. Mamou, M.L. Oelze, Springer 2013.
• [7] Xiaonan Geng et al., Comparison of ultrasound temperature imaging with infrared thermometry during radio frequency ablation, Jpn. J. Appl. Phys., 53, 047001, 2014.
• [8] Hao-Li Liu et al., A unified approach to combine temperature estimation and elastography for thermal lesion determination in focused ultrasound thermal therapy, Phys. Med. Biol.56, 169, 2011.
• [9] B. Gambin, O. Doubrovina, Wavelet analysis for temperature increase detection from acoustic backscattered signal, Complex Analysis and Potential Theory (Tahir Aliyev Azeroğlu, Anatoly Golberg, Sergei Rogosin Eds.), Cambridge Scientific Publishers, 2014 (accepted).
• [10] I. Daubechies, Ten Lectures on Wavelets, Society for Industrial and Applied Mathematics, Philadelphia, PA, 1992.
• [11] B. Gambin, O. Doubrovina, Wavelet approach to RF signals for structural characterization of soft tissue phantom, Materials of 59th Open Seminar on Acoustic, Poznan-Boszkowo, September, 10-14, 2012, 69-72, 2012.
• [12] B. Gambin, O. Doubrovina, Statistical properties of wavelet transform coefficients of backscattering signal from soft tissues and their phantoms, Hydroacoustics, 16, 59-66, 2013.