Complex shear modulus estimation using maximum likelihood ensemble filters

Tan Tran-Duc, Yue Wang, Nguyen Linh-Trung, Minh N. Do, Michael F. Insana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ultrasound shear wave imaging can be used to estimate quantitative information about soft tissue mechanical properties, specifically the complex shear modulus (CSM). It is promising because it has the potential to bridge molecular, cellular, and tissue biology and to support for medical diagnoses. However, there is a lack of efficient methods for CSM estimation due to high complexity and low reconstruction's quality. To overcome these disadvantages, in this paper, we have applied the Bayesian-approach-based Maximum Likelihood Ensemble Filter (MLEF) for CSM estimation. The error performance is below 10%. Both simulated and experimental data were tested in order to assess the proposed method.

Original languageEnglish (US)
Title of host publication4th International Conference on Biomedical Engineering in Vietnam
Pages313-316
Number of pages4
DOIs
StatePublished - 2013
Event4th International Conference on the Development of Biomedical Engineering in Vietnam - Ho Chi Minh City, Viet Nam
Duration: Jan 8 2012Jan 10 2012

Publication series

NameIFMBE Proceedings
Volume40 IFMBE
ISSN (Print)1680-0737

Other

Other4th International Conference on the Development of Biomedical Engineering in Vietnam
Country/TerritoryViet Nam
CityHo Chi Minh City
Period1/8/121/10/12

Keywords

  • complex shear modulus
  • maximum likelihood ensemble filter
  • Ultrasound shear wave imaging
  • vibrating needle

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Fingerprint

Dive into the research topics of 'Complex shear modulus estimation using maximum likelihood ensemble filters'. Together they form a unique fingerprint.

Cite this