A Tissue Mechanics Based Method to Improve Tissue Displacement Estimation in Ultrasound Elastography

Kheirkhah, Niusha; Dempsey, Sergio C. H.; Rivaz, Hassan; Samani, Abbas; Sadeghi‐Naini, Ali

doi:10.1109/embc44109.2020.9175869

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…Methods founded on this approach assume displacement continuity which is necessary as it aligns with the tissue deformation physics. Tissue mechanics-based methods that incorporate tissue incompressibility and other tissue mechanics constraints have also been developed and have shown enhanced axial and lateral displacement maps [41], [42]. A number of TDE-based methods that have been used in this thesis project are described in more details in the next two subsections.…”

Section: Displacement Estimation For Us Strain Imagingmentioning

confidence: 99%

“…A novel methodology recently proposed for improved strain imaging of the breast, namely, the strain refinement algorithm (STREAL) [42], [54], was adapted and investigated in this project for developing a liver elastography technique. This technique requires an initial estimate of the displacement fields to be processed before it produces an improved estimate.…”

Section: Enhanced Strain Imagingmentioning

confidence: 99%

“…As mentioned before, the STREAL method [42] requires an initial displacement estimate. In the method's implementation introduced in [43], the initial estimate was obtained by processing a pair of RF data frames using the [25] GLUE method [26].…”

Section: Strain Refinement Algorithm (Streal)mentioning

confidence: 99%

“…In this work, we explored the AM2D, GLUE, and the SOUL methods [40] to generate the displacement fields' initial estimates used with the STREAL method. The STREAL method includes three steps of smoothing the displacement fields, enforcement of tissue incompressibility principle, and enforcement of strain compatibility condition [42].…”

Section: Strain Refinement Algorithm (Streal)mentioning

confidence: 99%

See 3 more Smart Citations

An Enhanced Method for Full-Inversion-Based Ultrasound Elastography of the Liver

Aboutaleb

Kheirkhah

Samani

et al. 2022

2022 44th Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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Similar to many other types of cancer, liver cancer is associated with biological changes that lead to tissue stiffening. An effective imaging technique that can be used for liver cancer detection through visualizing tissue stiffness is ultrasound elastography. In this thesis, we show the effectiveness of an enhanced method of tissue motion tracking used in quasi-static ultrasound elastography for liver cancer assessment compared to other state of the art methods. The method

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Section: Displacement Estimation For Us Strain Imagingmentioning

confidence: 99%

Section: Enhanced Strain Imagingmentioning

confidence: 99%

Section: Strain Refinement Algorithm (Streal)mentioning

confidence: 99%

Section: Strain Refinement Algorithm (Streal)mentioning

confidence: 99%

See 2 more Smart Citations

An Enhanced Method for Full-Inversion-Based Ultrasound Elastography of the Liver

Aboutaleb

Kheirkhah

Samani

et al. 2022

2022 44th Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

Self Cite

View full text Add to dashboard Cite

show abstract

“…Such development, however, may involve unjustifiably extensive computational processing. One exception to this is the strain refinement algorithm (STREAL), which follows tissue-mechanics-based regularization to improve the estimate of tissue lateral displacements with very high performance and low computational cost [19,20]. This method requires a rough initial estimate of the displacement field that can be obtained using previously developed techniques [7,13,21,22].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Ultrasound Tissue Motion Tracking Techniques for Effective Breast Ultrasound Elastography

Caius,

Samani

2023

Applied Sciences

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Breast cancer is the most common and deadly cancer in women, where early detection is of the utmost importance as survival rates decrease with the advancement of the disease. Most available methods of breast cancer screening and evaluation lack the ability to effectively differentiate between benign and malignant lesions without a biopsy. Ultrasound elastography (USE) is a cost-effective method that can potentially provide an initial malignancy assessment at the bedside. One of the challenges, however, is the uncertainty of tissue displacement data when performing USE due to out-of-plane movement of the tissue during mechanical stimulation, in addition to the computational efficiency necessary for real-time image reconstruction. This work presents a comparison of four different theoretically sound displacement estimators for their ability in tissue Young’s modulus reconstruction level with an emphasis on quality-to-runtime ratio to determine which estimators are most suitable for real-time USE systems. The methods are known in literature as AM2D, GLUE, OVERWIND, and SOUL methods. The effectiveness of each method was assessed as a stand-alone method or in combination with a strain field enhancement technique known as STREAL, which was recently developed using tissue mechanics-based regularization. The study was performed using radiofrequency US data pertaining to in silico and tissue mimicking phantoms in addition to clinical data. This data was used to generate tissue displacement fields employed to generate axial and lateral strain images before Young’s modulus images were reconstructed. The study indicates that the AM2D displacement estimator, which is an older and computationally less involved method, along with a tissue-mechanics-based image processing algorithm, performs very well, with high CNR, SNR, and preservation of tumor heterogeneity obtained at both strain and stiffness image levels, while its computation run-time is much lower compared to other estimation methods. As such, it can be recommended for incorporation in real-time USE systems.

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Enhanced full-inversion-based ultrasound elastography for evaluating tumor response to neoadjuvant chemotherapy in patients with locally advanced breast cancer

et al. 2023

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A Tissue Mechanics Based Method to Improve Tissue Displacement Estimation in Ultrasound Elastography

Cited by 5 publications

References 12 publications

An Enhanced Method for Full-Inversion-Based Ultrasound Elastography of the Liver

An Enhanced Method for Full-Inversion-Based Ultrasound Elastography of the Liver

Comparative Study of Ultrasound Tissue Motion Tracking Techniques for Effective Breast Ultrasound Elastography

Enhanced full-inversion-based ultrasound elastography for evaluating tumor response to neoadjuvant chemotherapy in patients with locally advanced breast cancer

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