Using Empirical Mode Decomposition of Backscattered Ultrasound Signal Power Spectrum for Assessment of Tissue Compression

• Autorzy: Byra M. , Wójcik J. , Nowicki A.

Identyfikatory

DOI

10.24425/123916

• Języki publikacji: EN

Abstrakty

EN

Quantitative ultrasound has been widely used for tissue characterization. In this paper we propose a new approach for tissue compression assessment. The proposed method employs the relation between the tissue scatterers’ local spatial distribution and the resulting frequency power spectrum of the backscattered ultrasonic signal. We show that due to spatial distribution of the scatterers, the power spectrum exhibits characteristic variations. These variations can be extracted using the empirical mode decomposition and analyzed. Validation of our approach is performed by simulations and in-vitro experiments using a tissue sample under compression. The scatterers in the compressed tissue sample approach each other and consequently, the power spectrum of the backscattered signal is modified. We present how to assess this phenomenon with our method. The proposed in this paper approach is general and may provide useful information on tissue scattering properties.

Słowa kluczowe

EN

tissue characterization; tissue compression; quantitative ultrasound; empirical mode decomposition; signal analysis

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2018
• Tom: Vol. 43, No. 3
• Strony: 447--453
• Opis fizyczny: Bibliogr. 17 poz., rys., wykr.

Twórcy

autor

Byra M.

• Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Pawińskiego 5B, 02-106 Warsaw, Poland

autor

Wójcik J.

• Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Pawińskiego 5B, 02-106 Warsaw, Poland

autor

Nowicki A.

• Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Pawińskiego 5B, 02-106 Warsaw, Poland

Bibliografia

• 1. Byra M., Nowicki A., Piotrzkowska-Wróblewska H., Litniewski J., Dobruch-Sobczak K. (2015), Correcting the influence of tissue attenuation on Nakagami distribution shape parameter estimation, 2015 IEEE International Ultrasonics Symposium (IUS), Taipei, pp. 1-4, doi: 10.1109/ULTSYM.2015.0408.
• 2. Byra M., Kruglenko E., Gambin B., Nowicki A. (2017), Temperature monitoring during focused ultrasound treatment by means of the homodyned K distribution, Acta Physica Polonica A, 131, 6, 1525-1528.
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• 8. Huang N. E. et al. (1998), The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 454, 1971, 903-995.
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• 13. Tsui P. H. et al. (2017), Small-window parametric imaging based on information entropy for ultrasound tissue characterization, Scientific Reports, 7.
• 14. Wójcik J., Byra M., Nowicki A. (2016), A spectralbased method for tissue characterization, Hydroacoustics, 19, 369-375.
• 15. Yu X., Guo Y., Huang S. M., Li M. L., Lee W. N. (2015), Beamforming effects on generalized Nakagami imaging, Physics in Medicine and Biology, 60, 19, 7513.
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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).