A Finite Element Study of Ultrasound Elastography Using Shear Wave Interference Patterns Generated by Miniature Surface Sources

  • Pezhman Pasyar ORCID Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.
  • Vahid Sadeghi Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.
  • Hassan Rezazadeh Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.
  • Milad Askari Department of Mechanical Engineering, Tehran University, Tehran, Iran.
  • Alireza Mirbagheri Research Center of Biomedical Technology and Robotics (RCBTR), Tehran University of Medical Sciences, Tehran, Iran.
  • Moayed Alavian Research Center for Gastroenterology and Liver Disease, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Hossein Arabalibeik Mail Research Center of Biomedical Technology and Robotics (RCBTR), Tehran University of Medical Sciences, Tehran, Iran.
Keywords:
Cross correlation, Elastic waves, Finite element analysis, Interference patterns, Liver elastography, Mechanical stimulation, Ultrasound imaging.

Abstract

Purpose: Elastography as one of the most promising non-invasive methods in the diagnosis of liver diseases is attracting much attention. An interesting technique which is independent of imaging rate uses shear wave interference patterns induced by two external stimulation sources.
Methods: In this article a 3D finite element model of liver tissue with superficial mechanical stimulation is presented through which the possibility of using shear wave interference patterns to determine the type of liver fibrosis is investigated. In addition, the effect of various stimulation characteristics on the propagation of elastic waves and formation of shear wave interference patterns can be measured. Besides, ultrasound imaging and methods based on cross correlation are used to find target displacements caused by interference of shear waves.
Result and Discussion: Since the goal of this essay is to find the type of fibrosis, the results show achieving a high correlation between real and estimated elasticities (Pearson’s coefficient of 0.9953 and P-value <0.05). Herein, the mean elasticity estimation for the stages of mild, sign, severe, and cirrhosis obtained respectively, is as follows: 4.79±1.5, 8.01±0.7, 11.3±2, and 31.21±16 kPa.

Published
2017-06-30
How to Cite
1.
Pasyar P, Sadeghi V, Rezazadeh H, Askari M, Mirbagheri A, Alavian M, Arabalibeik H. A Finite Element Study of Ultrasound Elastography Using Shear Wave Interference Patterns Generated by Miniature Surface Sources. Frontiers Biomed Technol. 4(1-2):18-30.
Section
Original Article(s)