Regularization-Based 2D Strain Tensor Imaging in Quasi-Static Ultrasound Elastography <i>SAGE Publications</i>

Duroy, Anne-Lise; Detti, Valérie; Coulon, A.; Basset, Olivier; Brusseau, E.

doi:10.1177/01617346231168982

Cited by 4 publications

(3 citation statements)

References 54 publications

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“…The quality of reconstruction results in elastography is also highly sensitive to the noise induced from image processing method 34 indeed, Accurately estimating all strain components in quasi-static ultrasound elastography is crucial for the full analysis of biological media. 35 A reasonable image motion tracking method which produce displacement field or strain filed is able to improve the quality of the reconstruction. It also should be compatible with reconstructed method.…”

Section: Introductionmentioning

confidence: 99%

On the soft tissue ultrasound elastography using FEM based inversion approach

Eshaghinia,

Taghvaeipour,

Aghdam

et al. 2024

Proc Inst Mech Eng H

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Elastography is a medical imaging modality that enables visualization of tissue stiffness. It involves quasi-static or harmonic mechanical stimulation of the tissue to generate a displacement field which is used as input in an inversion algorithm to reconstruct tissue elastic modulus. This paper considers quasi-static stimulation and presents a novel inversion technique for elastic modulus reconstruction. The technique follows an inverse finite element framework. Reconstructed elastic modulus maps produced in this technique do not depend on the initial guess, while it is computationally less involved than iterative reconstruction approaches. The method was first evaluated using simulated data (in-silico) where modulus reconstruction’s sensitivity to displacement noise and elastic modulus was assessed. To demonstrate the method’s performance, displacement fields of two tissue mimicking phantoms determined using three different motion tracking techniques were used as input to the developed elastography method to reconstruct the distribution of relative elastic modulus of the inclusion to background tissue. In the next stage, the relative elastic modulus of three clinical cases pertaining to liver cancer patient were determined. The obtained results demonstrate reasonably high elastic modulus reconstruction accuracy in comparison with similar direct methods. Also it is associated with reduced computational cost in comparison with iterative techniques, which suffer from convergence and uniqueness issues, following the same formulation concept. Moreover, in comparison with other methods which need initial guess, the presented method does not require initial guess while it is easy to understand and implement.

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Section: Introductionmentioning

confidence: 99%

On the soft tissue ultrasound elastography using FEM based inversion approach

Eshaghinia,

Taghvaeipour,

Aghdam

et al. 2024

Proc Inst Mech Eng H

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show abstract

“…Other techniques, such as the use of dynamic programming elastography in conjunction with Horn-Schunck optical flow estimation [14], Kalman and nonlinear complex diffusion filters [15], beamforming with transverse oscillations [16], [17], and 2D strain tensor regularization method [18], may also be used to improve the rotation elastogram quality.…”

Section: Introductionmentioning

confidence: 99%

Rotation Elastogram Estimation Using Mechanical Assisted Spatial Compounding: An Experimental Validation Study

Zagaglioni,

Trejo,

Espíndola

et al. 2024

IEEE Access

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In quasi-static ultrasound elastography, breast tumor classification can be performed by using the rotation fill-in signature present in the rotation elastogram. This rotation fill-in signature is a benign tumors marker obtained from lesion rotation as a product of the lateral asymmetric stress field. However, the well-known low lateral resolution limitation of ultrasound imaging devices reduces the image quality of the rotation elastograms. Studies using beam-steering, synthetic transmit aperture (STA), diverging beam with STA, and sub-pitch translation of the ultrasonic beam methods have shown that the rotation elastogram's quality can be significantly improved. In this context, we aim to study the feasibility of improving the rotation elastogram quality by mechanical-assisted spatial compounding of displacement images from different ultrasound probe angles. Recently, through numerical simulations, we have shown the theoretical feasibility of this technique. Here, we present the corresponding experimental validation by using tissue-mimicking gelatin phantoms. Our experimental results show that the contrast-to-noise ratio of the rotation elastogram can be improved by approximately 5 dB by increasing the number of displacement images used in the spatial compounding for small scanning angles of about 1 • . This result confirms the prediction of previous numerical simulations. In addition, we show that the estimation of rotation can be used, in conjunction with the shear strain, to compute a new parameter to quantify the rotation possibility of the inclusion with respect to its shearing nature. In conclusion, our method is technically feasible but requires an exhaustive ultrasound probe position control in synchronism with the ultrasound image acquisition process.INDEX TERMS Quasi-static Ultrasound Elastography, Rotation elastogram, Shear strain elastogram, Spatial compounding.

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“…Neoadjuvant chemotherapy is a common intervention method for breast cancer patients, which is widely used in newly treated patients without metastasis and belongs to the category of systemic chemotherapy [2]. Neoadjuvant chemotherapy can promote downstaging of breast cancer patients, improve surgical resection rate, breast conservation rate, and improve the quality of life of patients, and most patients can bene t from it [3][4]. However, due to the different types of breast cancer, some patients are not sensitive to neoadjuvant chemotherapy drugs, which increases the toxic and side effects caused by chemotherapy and misses the opportunity of surgery [5].…”

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confidence: 99%

The predictive value of contrast-enhanced ultrasound combined with ultrasonic elastography in response to neoadjuvant chemotherapy in different molecular types of breast cancer

Wang,

Jiao,

Han

et al. 2024

Preprint

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Objective: To investigate the predictive efficacy of contrast-enhanced ultrasound (CEUS) and elastosonography (ELA) in adjuvant chemotherapy in patients with different molecular types of breast cancer. Methods: 74 patients with breast cancer from June 2021 to August 2023 were divided into Luminal A group, Luminal B group and human epidermal growth factor receptor 2 (HER-2) group according to molecular typing. All patients underwent neoadjuvant chemotherapy treatment and were divided into a reactive group (n=61 cases) and a non reactive group (n=13 cases) based on the treatment effect. All patients underwent contrast-enhanced ultrasound and ultrasound elastography (using shear wave elastography (SWE) mode) examination, and ROC curves were plotted to analyze the combined predictive performance of contrast-enhanced ultrasound and ultrasound elastography. Result: There was no statistically significant difference in the parameters of contrast-enhanced ultrasound and ultrasound elastography between the Luminal A group, Luminal B group, and HER-2 group (P>0.05); The parameters of contrast-enhanced ultrasound and ultrasound elastography after chemotherapy in breast cancer with different molecular types were lower than those before chemotherapy (P<0.05); Among 74 patients with breast cancer, 13 (17.57%) were non responsive to neoadjuvant chemotherapy. The PT, K1, and SR of the non reactive group were higher than those of the reactive group (P<0.05); The ROC curve results showed that the combined examination of contrast-enhanced ultrasound and ultrasonic elastography was more effective than the single examination in predicting the response to neoadjuvant chemotherapy in patients with different molecular types of breast cancer (P<0.05). Conclusion: When breast cancer patients are treated with neoadjuvant chemotherapy under different molecular classifications, the indexes of contrast-enhanced ultrasound and elastography have changed before and after chemotherapy, and the combination of the two has a high predictive value for different molecular classifications of breast cancer, which can obtain high sensitivity and specificity, and can provide a reliable basis for the formulation and adjustment of adjuvant therapy programs.

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Regularization-Based 2D Strain Tensor Imaging in Quasi-Static Ultrasound Elastography SAGE Publications

Cited by 4 publications

References 54 publications

On the soft tissue ultrasound elastography using FEM based inversion approach

On the soft tissue ultrasound elastography using FEM based inversion approach

Rotation Elastogram Estimation Using Mechanical Assisted Spatial Compounding: An Experimental Validation Study

The predictive value of contrast-enhanced ultrasound combined with ultrasonic elastography in response to neoadjuvant chemotherapy in different molecular types of breast cancer

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