Robust Phase Velocity Dispersion Estimation of Viscoelastic Materials Used for Medical Applications Based on the Multiple Signal Classification Method

Kijanka, Piotr; Qiang, Boqin; Song, Pengfei; Carrascal, Carolina Amador; Chen, Shigao; Urban, Matthew W.

doi:10.1109/tuffc.2018.2792324

Cited by 27 publications

(13 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Typically, frequency-domain assessment of shear wave velocity has been performed with phase gradient or Fourier transform methods [18], [19]. These methods have been used to estimate phase velocity dispersion due to material viscoelasticity and geometry [20]- [23]. Most of these measurement techniques, as implemented, use a limited spatial extent both in the lateral and axial directions.…”

Section: Introductionmentioning

confidence: 99%

Local Phase Velocity Based Imaging: A New Technique Used for Ultrasound Shear Wave Elastography

Kijanka

Urban

2019

IEEE Trans. Med. Imaging

Self Cite

View full text Add to dashboard Cite

Ultrasound shear wave elastography is an imaging modality for noninvasive evaluation of tissue mechanical properties. However, many current techniques overestimate a lesion's dimension or shape especially when small inclusions are taken into account. In this study we propose a new method called local phase velocity based imaging (LPVI) as an alternative technique to measure tissue elasticity. Two separate acquisitions with ultrasound push beams focused once on the left side and once on the right side of the inclusion were generated. A local shear wave velocity is then recovered in the frequency domain (for a single frequency or frequency band) for both acquired data sets. Finally, a two-dimensional shear wave velocity map is reconstructed by combining maps from two separate acquisitions. Robust and accurate shear wave velocity maps are reconstructed using the proposed LPVI method in calibrated liver fibrosis tissue mimicking homogeneous phantoms, a calibrated elastography phantom with stepped cylinder inclusions and a homemade gelatin phantom with ex vivo porcine liver inclusion. Results are compared with an existing phase velocity based imaging approach and a group velocity based method considered as the state-ofthe-art. Results from the phantom study showed that increased frequency improved the shape of the reconstructed inclusions and contrast-to-noise ratio between the target and background.

show abstract

Section: Introductionmentioning

confidence: 99%

Local Phase Velocity Based Imaging: A New Technique Used for Ultrasound Shear Wave Elastography

Kijanka

Urban

2019

IEEE Trans. Med. Imaging

Self Cite

View full text Add to dashboard Cite

show abstract

“…The viscosity creates attenuation, which results in wave dispersion; therefore, estimation of Young’s modulus may not be possible based on the measured signals. 23 In addition, most biological tissues exhibit nonlinear elasticity. This problem is particularly evident in ligaments and tendons, which are complex collagenous structures.…”

Section: Discussionmentioning

confidence: 99%

Influence of Load and Transducer Bandwidth on the Repeatability of In Vivo Tendon Stiffness Evaluation Using Shear Wave Elastography

Obuchowicz

Ambroziński

Kohut

2020

Journal of Diagnostic Medical Sonography

View full text Add to dashboard Cite

Objective: To determine how different examination protocols with the use of transducers, of different bandwidths, and applied with varied tension to tendons would influence the sonographic study results. Methods: Thirty-one participants were divided into two groups, with one subject used for theoretical investigation (A) and the remaining participants (B = 30) forming the study cohort. Both sets of participants were examined with three different transducers (SL10–3, SL15–4, and SL18–7) as well as with variable loading on the Achilles tendon (relaxed, tensed, and loaded). The resulting coverage of the color map provided qualitative tendon stiffness and quantitative tendon stiffness values. Results: The estimated mean coverage extent, using elastographic color maps, produced by the three transducers was 98%, 98%, and 99%, respectively, in the relaxed state. Likewise, in the tensed state, mean coverage was 85%, 82%, and 77% in group A and 91%, 78%, and 71% in group B, respectively. Examining tendons that were loaded, the mean coverage was 68%, 42%, and 41%, respectively. The quantitative relaxed mean tendon elasticity values were 323, 366, and 393 kPa, respectively, in group A. Likewise, the relaxed mean values were 329, 341, and 358 kPa, respectively, in group B. The quantitative tensed mean tendon elasticity values were 413, 460, and 426 kPa, respectively, in group A. Likewise the tensed mean values were 412, 440, and 436 kPa, respectively, in group B. Conclusions: Varying the tendon loading significantly influenced the color map coverage, which governs the most reliable quantitative measurements on relaxed tendons. The best color map coverage was achieved using the transducer with the lowest frequency, regardless of the tension applied.

show abstract

“…This disadvantage of the spatial FT has been recognized in research on shear wave dispersion estimation. Related descriptions and efforts for improvements can be found in (Bernal et al 2011, Nightingale et al 2015, Kijanka et al 2018. Besides, kernel-based truncation for imaging purposes makes shear wave spatial signals even more concentrated.…”

Section: Introductionmentioning

confidence: 99%

Ultrasound shear wave phase velocity imaging using black-box system identification (BSI): a data-driven approach

et al. 2023

View full text Add to dashboard Cite

Objective. Shear wave elasticity imaging (SWEI) is an established approach for diagnosing lesions in human tissue. However, the shear wavelengths used by traditional SWEI are usually not short enough, leading to inferior accuracy in small-target (<10 mm) reconstruction. To exploit short shear wavelengths (high-frequency content), this study introduces a new phase velocity (PV) estimation technique as an alternative to the conventional group velocity (GV) modality. Approach. We propose using a black-box model instead of a fully physics-based model to describe the transition process of two arbitrary shear wave signals. With this representation, local PV can be obtained via black-box system identification (BSI). For validation, two PV estimation scenarios were established: (numerical) dispersion measurements in viscoelastic media, and (real) imaging targets in a CIRS elasticity phantom. BSI was compared with a state-of-the-art PV imaging method that uses local wavenumber estimation (LWE). Main results. BSI showed excellent accuracy in the dispersion estimation for all three viscoelastic media in the simulations. In the phantom study, the two PV methods exhibited good agreement in the frequency dependence of target quantification, and could both generate a higher target reconstruction accuracy than GV. LWE images were strongly affected by noise-induced faulty estimates, whereas BSI showed no notable artifacts. Significance. This study demonstrates the advantage of the PV modality over the GV modality as the former can achieve better target visualization by increasing imaging frequency. It also implies the feasibility of data-driven modeling for soft tissue characterization.

show abstract

Robust Phase Velocity Dispersion Estimation of Viscoelastic Materials Used for Medical Applications Based on the Multiple Signal Classification Method

Cited by 27 publications

References 44 publications

Local Phase Velocity Based Imaging: A New Technique Used for Ultrasound Shear Wave Elastography

Local Phase Velocity Based Imaging: A New Technique Used for Ultrasound Shear Wave Elastography

Influence of Load and Transducer Bandwidth on the Repeatability of In Vivo Tendon Stiffness Evaluation Using Shear Wave Elastography

Ultrasound shear wave phase velocity imaging using black-box system identification (BSI): a data-driven approach

Contact Info

Product

Resources

About