Comparison between incident and reflected of two modes waves correlation with various porosities and thicknesses of bone phantom

Authors

  • Muhamad Amin Abd Wahab Universiti Teknologi Malaysia
  • Rubita Sudirman Universiti Teknologi Malaysia
  • Mohd Azhar Abdul Razak Universiti Teknologi Malaysia
  • Nasrul Humaimi Mahmood

DOI:

https://doi.org/10.11113/mjfas.v16n5.1930

Abstract

The precision of the ultrasound measurement using through transmission technique to estimate bone quality based on fast and slow wave analysis is getting better but limited to the certain part of the skeletal site. Thus, the pulse echo technique with the application of fast and slow wave analysis is proposed to solve the problem as the technique only uses one transducer to operate. The objective of this paper was to conduct an experiment using through transmission and pulse echo technique to investigate the correlation of fast and slow wave with various porosities of three different thicknesses of Polyurethane foam. The fast and slow wave would be decomposed using bandlimited deconvolution methods from the recorded “incident” and “reflected” waves (mix wave). Further, the parameters for the mix, fast and slow wave for both incident and reflected wave were calculated, plotted against porosity for each thickness and compared based on the correlation coefficient performance. The result shows that, the slope of attenuation of the incident fast waves showed a good correlation with various porosities for every thickness. Meanwhile, the slope of attenuation of the reflected slow waves showed a good correlation with various porosities for every thickness. Besides, the reflected wave may suffer more attenuation effect such as scattering compared to the incident wave, thereby, led to the correlation between wave parameter with porosity was lesser. Overall result suggested that, considering fast and slow wave to estimate bone quality might improve the measurement accuracy

Author Biographies

Muhamad Amin Abd Wahab, Universiti Teknologi Malaysia

School of Electrical Engineering, Faculty of Engineering

Rubita Sudirman, Universiti Teknologi Malaysia

School of Electrical Engineering, Faculty of Engineering

Mohd Azhar Abdul Razak, Universiti Teknologi Malaysia

School of Electrical Engineering, Faculty of Engineering

Downloads

Published

29-10-2020