Complex Shear Modulus Estimation using Integration of LMS/AHI Algorithm
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 8
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%
Authors and Affiliations
Quang–Hai Luong, Manh–Cuong Nguyen, TonThat– Long, Duc–Tan Tran
A Mixed Finite Element Method for Elasticity Problem
This paper describes a numerical solution for plane elasticity problem. It includes algorithms for discretization by mixed finite element methods. The discrete scheme allows the utilization of Brezzi - Douglas - Marini e...
On the Sampling and the Performance Comparison of Controlled LTI Systems
In this paper, the impact of the discretization techniques and the sampling time, on the finite-time stabilization of sampled-data controlled Linear Time Invariant (LTI) systems, is investigated. To stabilize the process...
Kit-Build Concept Map with Confidence Tagging in Practical Uses for Assessing the Understanding of Learners
An answer of a learner can be interpreted as a learning evidence for demonstrating the understanding of the learner, while a confidence on the answer represents the belief of the learner as the degree of understanding. I...
Security Policies for Securing Cloud Databases
Databases are an important and almost mandatory means for storing information for later use. Databases require effective security to protect the information stored within them. In particular access control measures are e...
Link Prediction Schemes Contra Weisfeiler-Leman Models
Link prediction is of particular interest to the data mining and machine learning communities. Until recently all approaches to the problem used embedding-based methods which leverage either node similarities or latent g...