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 Citations (Scopus)

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

Fingerprint

Viscoelasticity
Tissue
Imaging techniques
Biopsy
Numerical analysis
Creep
Ultrasonics
Mechanical properties

Keywords

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

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Automated in vivo sub-Hertz analysis of viscoelasticity (SAVE) for evaluation of breast lesions. / Bayat, Mahdi; Nabavizadeh, Alireza; Kumar, Viksit; Gregory, Adriana; Insana, Michael; Alizad, Azra; Fatemi, Mostafa.

In: IEEE Transactions on Biomedical Engineering, 26.12.2017.

Research output: Contribution to journalArticle

@article{c6cdccbd619e4d39b192bda494d57762,
title = "Automated in vivo sub-Hertz analysis of viscoelasticity (SAVE) for evaluation of breast lesions",
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.",
keywords = "breast lesion, creep, retardation time, ultrasound, Viscoelasticity",
author = "Mahdi Bayat and Alireza Nabavizadeh and Viksit Kumar and Adriana Gregory and Michael Insana and Azra Alizad and Mostafa Fatemi",
year = "2017",
month = "12",
day = "26",
doi = "10.1109/TBME.2017.2787679",
language = "English (US)",
journal = "IEEE Transactions on Biomedical Engineering",
issn = "0018-9294",
publisher = "IEEE Computer Society",

}

TY - JOUR

T1 - Automated in vivo sub-Hertz analysis of viscoelasticity (SAVE) for evaluation of breast lesions

AU - Bayat, Mahdi

AU - Nabavizadeh, Alireza

AU - Kumar, Viksit

AU - Gregory, Adriana

AU - Insana, Michael

AU - Alizad, Azra

AU - Fatemi, Mostafa

PY - 2017/12/26

Y1 - 2017/12/26

N2 - 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.

AB - 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.

KW - breast lesion

KW - creep

KW - retardation time

KW - ultrasound

KW - Viscoelasticity

UR - http://www.scopus.com/inward/record.url?scp=85040055706&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85040055706&partnerID=8YFLogxK

U2 - 10.1109/TBME.2017.2787679

DO - 10.1109/TBME.2017.2787679

M3 - Article

JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

SN - 0018-9294

ER -