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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 8, 2018.
Abstract: Elasticity and viscosity of tissues are two important parameters that can be used to investigate the structure of tissues, especially detecting tumors. By using a force excitation, the shear wave speed is acquired to extract its amplitude and phase. This information is then used directly or indirectly to compute the Complex Shear Modulus (CSM consists of elasticity and viscosity). Among these methods, Algebraic Helmholtz Inversion (AHI) algorithm can be combined with the Finite Difference Time Domain (FDTD) model to estimate CSM effectively. However, this algorithm is strongly affected by measured noise while acquiring the particle velocity. Thus, we proposed a LMS/AHI algorithm which can estimate correctly CSM. A simulation scenario is built to confirm the performance of the proposed LMS/AHI algorithm with average error of 3.14%
Quang–Hai Luong, Manh–Cuong Nguyen, TonThat–Long and Duc–Tan Tran, “Complex Shear Modulus Estimation using Integration of LMS/AHI Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 9(8), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090874
@article{Luong2018,
title = {Complex Shear Modulus Estimation using Integration of LMS/AHI Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090874},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090874},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {8},
author = {Quang–Hai Luong and Manh–Cuong Nguyen and TonThat–Long and Duc–Tan Tran}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.