Torsion ultrasonic sensor for tissue mechanical characterization

Rus, Guillermo; Muñoz, Rafael; Melchor, Juan; Molina, Rubén; Callejas, Antonio; Riveiro, Miguel; Massó, Paloma; Torres, Jorge; Moreu, Gerardo; Molina, F.; Gonzalez, Otilia; Carretero, Pilar; Padilla, Carmen

doi:10.1109/ultsym.2016.7728405

Cited by 7 publications

(7 citation statements)

References 17 publications

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“…The third part is a casing with geometrical and material selection to control the mechanical cross-talk and hold the emitter and the receiver (see Figure 1 c). This configuration eliminates the masking p-waves that systematically arises at the boundaries of the regular contact or comb transducers [ 29 ].…”

Section: Methodsmentioning

confidence: 99%

“…To respond to the principles of an optimal design of a torsional wave sensor considering the extraction of biomechanical properties, it is necessary to compute Finite Element Models (FEM) as a first step [ 15 , 29 , 30 ]. Thus, the resonant frequency can be determined for torsional waves for the emitter and the receiver using Finite Element Analysis Program (FEAP) software [ 31 ].…”

Section: Methodsmentioning

confidence: 99%

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Performance Study of a Torsional Wave Sensor and Cervical Tissue Characterization

Callejas

Gómez

Melchor

et al. 2017

Sensors

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A novel torsional wave sensor designed to characterize mechanical properties of soft tissues is presented in this work. Elastography is a widely used technique since the 1990s to map tissue stiffness. Moreover, quantitative elastography uses the velocity of shear waves to achieve the shear stiffness. This technique exhibits significant limitations caused by the difficulty of the separation between longitudinal and shear waves and the pressure applied while measuring. To overcome these drawbacks, the proposed torsional wave sensor can isolate a pure shear wave, avoiding the possibility of multiple wave interference. It comprises a rotational actuator disk and a piezoceramic receiver ring circumferentially aligned. Both allow the transmission of shear waves that interact with the tissue before being received. Experimental tests are performed using tissue mimicking phantoms and cervical tissues. One contribution is a sensor sensitivity study that has been conducted to evaluate the robustness of the new proposed torsional wave elastography (TWE) technique. The variables object of the study are both the applied pressure and the angle of incidence sensor–phantom. The other contribution consists of a cervical tissue characterization. To this end, three rheological models have fit the experimental data and a static independent testing method has been performed. The proposed methodology permits the reconstruction of the mechanical constants from the propagated shear wave, providing a proof of principle and warranting further studies to confirm the validity of the results.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Performance Study of a Torsional Wave Sensor and Cervical Tissue Characterization

Callejas

Gómez

Melchor

et al. 2017

Sensors

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“…It is an ambitious goal, yet we have obtained promising results and the technique is being validated through this work and recent work of the group. Torsional wave elastography has been shown to be effective in obtaining biomechanical biomarkers [21,[25][26][27]43].…”

Section: Discussionmentioning

confidence: 99%

“…TWE technique presents some advantages that make it interesting. First, it can reduce and isolate the spurious waves contamination (P-waves) [25,27]. Another advantage is its ability to accurately interrogate soft tissue mechanical functionality in cylindrical geometries.…”

Section: Discussionmentioning

confidence: 99%

“…The emitter transmitting the waves consists of a PLA (polylactic acid) disk, printed in 3D, whose rotational movement is due to an electromechanical actuator. The receiver is formed by two PLA rings with four slots in the inner face of the ring, where the four ceramic piezoelectric elements are fitted [25][26][27]. This allows the precise interrogation of soft tissue mechanical functionality in cylindrical geometries.…”

Section: Torsional Wave Elastographymentioning

confidence: 99%

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Viscoelastic Biomarkers of Ex Vivo Liver Samples via Torsional Wave Elastography

et al. 2020

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The clinical ultrasound community demands mechanisms to obtain the viscoelastic biomarkers of soft tissue in order to quantify the tissue condition and to be able to track its consistency. Torsional Wave Elastography (TWE) is an emerging technique proposed for interrogating soft tissue mechanical viscoelastic constants. Torsional waves are a particular configuration of shear waves, which propagate asymmetrically in-depth and are radially transmitted by a disc and received by a ring. This configuration is shown to be particularly efficient in minimizing spurious p-waves components and is sensitive to mechanical constants, especially in cylinder-shaped organs. The objective of this work was to validate (TWE) technique against Shear Wave Elasticity Imaging (SWEI) technique through the determination of shear wave velocity, shear moduli, and viscosity of ex vivo chicken liver samples and tissue mimicking hydrogel phantoms. The results of shear moduli for ex vivo liver tissue vary 1.69–4.0kPa using TWE technique and 1.32–4.48kPa using SWEI technique for a range of frequencies from 200 to 800Hz. Kelvin–Voigt viscoelastic parameters reported values of μ = 1.51kPa and η = 0.54Pa·s using TWE and μ = 1.02kPa and η = 0.63Pa·s using SWEI. Preliminary results show that the proposed technique successfully allows reconstructing shear wave velocity, shear moduli, and viscosity mechanical biomarkers from the propagated torsional wave, establishing a proof of principle and warranting further studies.

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Healthy human skin Kelvin-Voigt fractional and spring-pot biomarkers reconstruction using torsional wave elastography

Almashakbeh,

Shamimi,

Faris

et al. 2024

Phys Eng Sci Med

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This paper presents a novel method for reconstructing skin parameters using Probabilistic Inverse Problem (PIP) techniques and Torsional Wave Elastography (TWE) rheological modeling. A comprehensive examination was conducted to compare and analyze the theoretical, time-of-flight (TOF), and full-signal waveform (FSW) approaches. The objective was the identification of the most effective method for the estimation of mechanical parameters. Initially, the most appropriate rheological model for the simulation of skin tissue behavior was determined through the application and comparison of two models, spring pot (SP) and Kevin Voigt fractional derivative (KVFD). A numerical model was developed using the chosen rheological models. The collection of experimental data from 15 volunteers utilizing a TWE sensor was crucial for obtaining significant information for the reconstruction process. The study sample consisted of five male and ten female subjects ranging in age from 25 to 60 years. The procedure was performed on the ventral forearm region of the participants. The process of reconstructing skin tissue parameters was carried out using PIP techniques. The experimental findings were compared with the numerical results. The three methods considered (theoretical, TOF, FSW) have been used. The efficacy of TOF and FSW was then compared with theoretical method. The findings of the study demonstrate that the FSW and TOF techniques successfully reconstructed the parameters of the skin tissue in all of the models. The SP model’s the skin tissue $$\eta $$ η values ranged from 8 to 12 $$Pa \cdot s$$ P a · s , as indicated by the TOF reconstruction parameters. $$\eta $$ η values found by the KVFD model ranged from 4.1 to 9.3 $$Pa \cdot s$$ P a · s . The $$\mu $$ μ values generated by the KVFD model range between 0.61 and 96.86 kPa. However, FSW parameters reveal that skin tissue $$\eta $$ η values for the SP model ranged from 7.8 to 12 $$Pa \cdot s$$ P a · s . The KVFD model determined $$\eta $$ η values between 6.3 and 9.5 $$Pa \cdot s$$ P a · s . The KVFD model presents $$\mu $$ μ values ranging between 26.02 and 122.19 kPa. It is shown that the rheological model that best describes the nature of the skin is the SP model and its simplicity as it requires only two parameters, in contrast to the three parameters required by the KVFD model. Therefore, this work provides a valuable addition to the area of dermatology, with possible implications for clinical practice.

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Torsion ultrasonic sensor for tissue mechanical characterization

Cited by 7 publications

References 17 publications

Performance Study of a Torsional Wave Sensor and Cervical Tissue Characterization

Performance Study of a Torsional Wave Sensor and Cervical Tissue Characterization

Viscoelastic Biomarkers of Ex Vivo Liver Samples via Torsional Wave Elastography

Healthy human skin Kelvin-Voigt fractional and spring-pot biomarkers reconstruction using torsional wave elastography

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