eprintid: 2743
rev_number: 17
eprint_status: archive
userid: 12
dir: disk0/00/00/27/43
datestamp: 2017-12-05 15:03:28
lastmod: 2018-01-10 07:58:33
status_changed: 2018-01-10 07:58:33
type: conference_item
metadata_visibility: show
creators_name: Luong, Quang Hai
creators_name: Nguyen, Manh Cuong
creators_name: Tran, Duc Tan
creators_id: luonghai@mta.edu.vn
creators_id: nmcuong@mta.edu.vn
creators_id: tantd@vnu.edu.vn
title: A frequency dependent investigation of complex shear modulus estimation
ispublished: pub
subjects: ElectronicsandComputerEngineering
divisions: fac_fet
abstract: Mechanical properties of tissues in terms of elasticity and viscosity provide us useful information which may be used in detecting tumors. Shear wave imaging (SWI) is a new method to quantify tissue elasticity by estimating the parameters of the complex shear modulus (CSM). The shear wave is generated by a vibrating needle at a certain frequency. In fact, CSM is a function of the vibrating frequency. Therefore, in this paper, a frequency dependent investigation of CSM will be carried in order to evaluate the estimation performance. The Extended Kalman Filter (EKF) is designed to estimate the CSM for both homogeneous and heterogeneous mediums. The root mean square (rms) error is used to evaluate the quality of the CSM estimation. Several tests were implemented to determine the range of vibrating frequency should be used for the good estimation.
date: 2017
date_type: published
official_url: https://link.springer.com/chapter/10.1007/978-3-319-49073-1_6
full_text_status: public
pres_type: lecture
pagerange: 31-40
event_title: International Conference on Advances in Information and Communication Technology
event_location: Vietnam
event_dates: 12-13, Dec., 2016
event_type: conference
refereed: TRUE
citation:   Luong, Quang Hai and Nguyen, Manh Cuong and Tran, Duc Tan  (2017) A frequency dependent investigation of complex shear modulus estimation.  In: International Conference on Advances in Information and Communication Technology, 12-13, Dec., 2016, Vietnam.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2743/1/paper05380006.pdf