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Complex Shear Modulus Estimation Using Maximum Likelihood Ensemble Filters

  • Tan Tran-Duc
  • Yue Wang
  • Nguyen Linh-Trung
  • Minh N. Do
  • Michael F. Insana
Part of the IFMBE Proceedings book series (IFMBE, volume 49)

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.

Keywords

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

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Copyright information

© IFMBE 2013

Authors and Affiliations

  • Tan Tran-Duc
    • 1
  • Yue Wang
    • 3
  • Nguyen Linh-Trung
    • 1
  • Minh N. Do
    • 2
  • Michael F. Insana
    • 3
  1. 1.Fac. Electronics & TelecommunicationsVNU University of Engineering & TechnologyHanoiVietnam
  2. 2.Dept. Electrical & Computer EngineeringUniversity of Illinois at Urbana-ChampaignUrbana-ChampaignUSA
  3. 3.Dept. BioengineeringUniversity of Illinois at Urbana-ChampaignUrbana-ChampaignUSA

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