Robust phase velocity dispersion estimation of viscoelastic materials used for medical applications based on the Multiple Signal Classification method

Piotr Kijanka, Bo Qiang, Pengfei Song, Carolina Amador, Shigao D Chen, Matthew W Urban

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Ultrasound shear wave elastography (SWE) is emerging as a promising imaging modality for noninvasive evaluation of tissue mechanical properties. One of the ways to explore the viscoelasticity is through analyzing the shear wave velocity dispersion curves. To explore the dispersion, it is necessary to estimate the shear wave velocity at each frequency. An increase of the available spectrum to be used for phase velocity estimation is significant for tissue dispersion analysis in vivo. A number of available methods suffer because of the available spectrum that one can work with is limited. We present an alternative method to the classical two-dimensional Fourier transform (2D-FT), that uses the Multiple Signal Classification (MUSIC) technique to provide robust estimation of the k-space and phase velocity dispersion curves. We compared results from the MUSIC method with the 2D-FT technique twofold: by searching for maximum peaks and gradient-based strategy. We tested this method on digital phantom data created using finite element models (FEMs) in viscoelastic media as well as on the experimental phantoms used in the Radiological Society of North America (RSNA) Quantitative Imaging Biomarker Alliance (QIBA) effort for standardization of shear wave velocity in liver fibrosis applications. Additionally, we evaluated the algorithm with different levels of added noise for FEMs. The MUSIC algorithm provided dispersion curves estimation with lower errors than the conventional 2D-FT method. The MUSIC method can be used for robust evaluation of shear wave velocity dispersion curves in viscoelastic media. Index Terms: Shear wave elastography (SWE), ultrasound, MUSIC, velocity dispersion curves, soft tissue.

Original languageEnglish (US)
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
DOIs
StateAccepted/In press - Jan 11 2018

Fingerprint

Phase velocity
Medical applications
phase velocity
Shear waves
S waves
curves
Tissue
Ultrasonics
Imaging techniques
fibrosis
evaluation
biomarkers
viscoelasticity
Viscoelasticity
standardization
Biomarkers
liver
Liver
Standardization
emerging

Keywords

  • Acoustic beams
  • Acoustics
  • Dispersion
  • Estimation
  • Finite element analysis
  • Multiple signal classification
  • MUSIC
  • Phantoms
  • Shear wave elastography (SWE)
  • soft tissue
  • ultrasound
  • velocity dispersion curves

ASJC Scopus subject areas

  • Instrumentation
  • Acoustics and Ultrasonics
  • Electrical and Electronic Engineering

Cite this

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title = "Robust phase velocity dispersion estimation of viscoelastic materials used for medical applications based on the Multiple Signal Classification method",
abstract = "Ultrasound shear wave elastography (SWE) is emerging as a promising imaging modality for noninvasive evaluation of tissue mechanical properties. One of the ways to explore the viscoelasticity is through analyzing the shear wave velocity dispersion curves. To explore the dispersion, it is necessary to estimate the shear wave velocity at each frequency. An increase of the available spectrum to be used for phase velocity estimation is significant for tissue dispersion analysis in vivo. A number of available methods suffer because of the available spectrum that one can work with is limited. We present an alternative method to the classical two-dimensional Fourier transform (2D-FT), that uses the Multiple Signal Classification (MUSIC) technique to provide robust estimation of the k-space and phase velocity dispersion curves. We compared results from the MUSIC method with the 2D-FT technique twofold: by searching for maximum peaks and gradient-based strategy. We tested this method on digital phantom data created using finite element models (FEMs) in viscoelastic media as well as on the experimental phantoms used in the Radiological Society of North America (RSNA) Quantitative Imaging Biomarker Alliance (QIBA) effort for standardization of shear wave velocity in liver fibrosis applications. Additionally, we evaluated the algorithm with different levels of added noise for FEMs. The MUSIC algorithm provided dispersion curves estimation with lower errors than the conventional 2D-FT method. The MUSIC method can be used for robust evaluation of shear wave velocity dispersion curves in viscoelastic media. Index Terms: Shear wave elastography (SWE), ultrasound, MUSIC, velocity dispersion curves, soft tissue.",
keywords = "Acoustic beams, Acoustics, Dispersion, Estimation, Finite element analysis, Multiple signal classification, MUSIC, Phantoms, Shear wave elastography (SWE), soft tissue, ultrasound, velocity dispersion curves",
author = "Piotr Kijanka and Bo Qiang and Pengfei Song and Carolina Amador and Chen, {Shigao D} and Urban, {Matthew W}",
year = "2018",
month = "1",
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doi = "10.1109/TUFFC.2018.2792324",
language = "English (US)",
journal = "IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control",
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T1 - Robust phase velocity dispersion estimation of viscoelastic materials used for medical applications based on the Multiple Signal Classification method

AU - Kijanka, Piotr

AU - Qiang, Bo

AU - Song, Pengfei

AU - Amador, Carolina

AU - Chen, Shigao D

AU - Urban, Matthew W

PY - 2018/1/11

Y1 - 2018/1/11

N2 - Ultrasound shear wave elastography (SWE) is emerging as a promising imaging modality for noninvasive evaluation of tissue mechanical properties. One of the ways to explore the viscoelasticity is through analyzing the shear wave velocity dispersion curves. To explore the dispersion, it is necessary to estimate the shear wave velocity at each frequency. An increase of the available spectrum to be used for phase velocity estimation is significant for tissue dispersion analysis in vivo. A number of available methods suffer because of the available spectrum that one can work with is limited. We present an alternative method to the classical two-dimensional Fourier transform (2D-FT), that uses the Multiple Signal Classification (MUSIC) technique to provide robust estimation of the k-space and phase velocity dispersion curves. We compared results from the MUSIC method with the 2D-FT technique twofold: by searching for maximum peaks and gradient-based strategy. We tested this method on digital phantom data created using finite element models (FEMs) in viscoelastic media as well as on the experimental phantoms used in the Radiological Society of North America (RSNA) Quantitative Imaging Biomarker Alliance (QIBA) effort for standardization of shear wave velocity in liver fibrosis applications. Additionally, we evaluated the algorithm with different levels of added noise for FEMs. The MUSIC algorithm provided dispersion curves estimation with lower errors than the conventional 2D-FT method. The MUSIC method can be used for robust evaluation of shear wave velocity dispersion curves in viscoelastic media. Index Terms: Shear wave elastography (SWE), ultrasound, MUSIC, velocity dispersion curves, soft tissue.

AB - Ultrasound shear wave elastography (SWE) is emerging as a promising imaging modality for noninvasive evaluation of tissue mechanical properties. One of the ways to explore the viscoelasticity is through analyzing the shear wave velocity dispersion curves. To explore the dispersion, it is necessary to estimate the shear wave velocity at each frequency. An increase of the available spectrum to be used for phase velocity estimation is significant for tissue dispersion analysis in vivo. A number of available methods suffer because of the available spectrum that one can work with is limited. We present an alternative method to the classical two-dimensional Fourier transform (2D-FT), that uses the Multiple Signal Classification (MUSIC) technique to provide robust estimation of the k-space and phase velocity dispersion curves. We compared results from the MUSIC method with the 2D-FT technique twofold: by searching for maximum peaks and gradient-based strategy. We tested this method on digital phantom data created using finite element models (FEMs) in viscoelastic media as well as on the experimental phantoms used in the Radiological Society of North America (RSNA) Quantitative Imaging Biomarker Alliance (QIBA) effort for standardization of shear wave velocity in liver fibrosis applications. Additionally, we evaluated the algorithm with different levels of added noise for FEMs. The MUSIC algorithm provided dispersion curves estimation with lower errors than the conventional 2D-FT method. The MUSIC method can be used for robust evaluation of shear wave velocity dispersion curves in viscoelastic media. Index Terms: Shear wave elastography (SWE), ultrasound, MUSIC, velocity dispersion curves, soft tissue.

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KW - ultrasound

KW - velocity dispersion curves

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