Automated in vivo sub-Hertz analysis of viscoelasticity (SAVE) for evaluation of breast lesions

Mahdi Bayat, Alireza Nabavizadeh, Viksit Kumar, Adriana Gregory, Michael Insana, Azra Alizad, Mostafa Fatemi

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

We present an automated method for acquiring images and contrast parameters based on mechanical properties of breast lesions and surrounding tissue at load frequencies less than 1 Hz. The method called sub-Hertz analysis of viscoelasticity (SAVE) uses a compression device integrated with ultrasound imaging to perform in vivo ramp-and-hold uniaxial creep-like test on human breast in vivo. It models the internal deformations of tissues under constant surface stress as a linear viscoelastic response. We first discuss different aspects of our unique measurement approach and the expected variability of the viscoelastic parameters estimated based on a simplified one-dimensional reconstruction model. Finite-element numerical analysis is used to justify the advantages of using imaging contrast over viscoelasticity values. We then present the results of SAVE applied to a group of patients with breast masses undergoing biopsy.

Original languageEnglish (US)
JournalIEEE Transactions on Biomedical Engineering
DOIs
StateAccepted/In press - Dec 26 2017

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Keywords

  • breast lesion
  • creep
  • retardation time
  • ultrasound
  • Viscoelasticity

ASJC Scopus subject areas

  • Biomedical Engineering

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