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Research Article | Open Access |

Complex Shear Modulus Estimation using Integration of LMS/AHI Algorithm

Author 1: Quang–Hai Luong Author 2: Manh–Cuong Nguyen Author 3: TonThat–Long Author 4: Duc–Tan Tran
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 8 · Published 2018 · Cited by 9

DOI: https://doi.org/10.14569/IJACSA.2018.090874

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%

Keywords

How to Cite this Article

Luong, Q., Nguyen, M., TonThat–Long, & Tran, D. (2018). Complex Shear Modulus Estimation using Integration of LMS/AHI Algorithm. International Journal of Advanced Computer Science and Applications, 9(8). https://doi.org/10.14569/IJACSA.2018.090874

Luong, Quang–Hai, et al.. "Complex Shear Modulus Estimation using Integration of LMS/AHI Algorithm." International Journal of Advanced Computer Science and Applications, vol. 9, no. 8, 2018, https://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},
  volume    = {9},
  number    = {8},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Quang–Hai Luong and Manh–Cuong Nguyen and TonThat–Long and Duc–Tan Tran},
  doi       = {10.14569/IJACSA.2018.090874},
  url       = {https://doi.org/10.14569/IJACSA.2018.090874}
}

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