The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Digital Archiving Policy
  • Promote your Publication
  • Metadata Harvesting (OAI2)

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors
  • SUSAI-EE 2025
  • ICONS-BA 2025
  • IoT-BLOCK 2025

Future of Information and Communication Conference (FICC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • Subscribe

DOI: 10.14569/IJACSA.2018.090874
PDF

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), Volume 9 Issue 8, 2018.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

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: Shear wave; elasticity; viscosity; CSM estimation; least mean square; Algebraic Helmholtz Inversion

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.

IJACSA

Upcoming Conferences

IntelliSys 2025

28-29 August 2025

  • Amsterdam, The Netherlands

Future Technologies Conference 2025

6-7 November 2025

  • Munich, Germany

Healthcare Conference 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

IntelliSys 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Computer Vision Conference 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference
  • Communication Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. All rights reserved. Registered in England and Wales. Company Number 8933205. thesai.org