eprintid: 3050
rev_number: 9
eprint_status: archive
userid: 12
dir: disk0/00/00/30/50
datestamp: 2018-09-07 05:19:47
lastmod: 2018-09-07 05:19:48
status_changed: 2018-09-07 05:19:47
type: article
metadata_visibility: show
creators_name: Luong Quang, Hai
creators_name: Nguyen Manh, Cuong
creators_name: Ton That, Long
creators_name: Tran Duc, Tan
creators_id: luonghai@gmail.com
creators_id: cuongnm@gmail.com
creators_id: ttlong@hcmiu.edu.vn
creators_id: tantd@vnu.edu.vn
title: Complex Shear Modulus Estimation using Integration of LMS/AHI Algorithm
ispublished: pub
subjects: ElectronicsandComputerEngineering
subjects: isi
divisions: fac_fet
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%.
date: 2018-09-01
date_type: published
publisher: Science and Information (SAI)
official_url: http://thesai.org/Publications/IJACSA
full_text_status: public
publication: International Journal of Advanced Computer Science and Applications (IJACSA)
volume: 9
number: 8
pagerange: 584-589
refereed: TRUE
issn: 2156-5570
citation:   Luong Quang, Hai and Nguyen Manh, Cuong and Ton That, Long and Tran Duc, Tan  (2018) Complex Shear Modulus Estimation using Integration of LMS/AHI Algorithm.  International Journal of Advanced Computer Science and Applications (IJACSA), 9  (8).   pp. 584-589.  ISSN 2156-5570     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3050/1/Paper_74-Complex_Shear_Modulus_Estimation.pdf