Breast ultrasound elastography using inverse finite element elasticity reconstruction

2017 ◽  
Vol 141 (5) ◽  
pp. 3675-3675
Author(s):  
Abbas Samani ◽  
Seyed R. Mousavi ◽  
Hassan Rivaz ◽  
Ali Sadeghi-Naini ◽  
Gregory Czarnota
Keyword(s):  
Finite Element ◽  
Breast Ultrasound ◽  
Ultrasound Elastography ◽  
Elasticity Reconstruction

scholarly journals Prediction of the Biomechanical Effects of Compression Therapy by Finite Element Modeling and Ultrasound Elastography

2015 ◽  
Vol 62 (4) ◽  
pp. 1011-1019 ◽  
Author(s):  
Fanny Frauziols ◽  
Jerome Molimard ◽  
Laurent Navarro ◽  
Pierre Badel ◽  
Magalie Viallon ◽  
...  
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Compression Therapy ◽  
Ultrasound Elastography ◽  
Element Modeling

Predicting Target Displacements Using Ultrasound Elastography and Finite Element Modeling

2011 ◽  
Vol 58 (11) ◽  
pp. 3143-3155 ◽  
Author(s):  
Jorn op den Buijs ◽  
H. H. G. Hansen ◽  
R. G. P. Lopata ◽  
C. L. de Korte ◽  
S. Misra
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Ultrasound Elastography ◽  
Element Modeling

An Analytical Model of Tumors With Higher Permeability Than Surrounding Tissues for Ultrasound Elastography Imaging

2018 ◽  
Vol 1 (3) ◽  
Author(s):  
Md Tauhidul Islam ◽  
Anuj Chaudhry ◽  
Ginu Unnikrishnan ◽  
J. N. Reddy ◽  
Raffaella Righetti
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Analytical Model ◽  
Normal Tissue ◽  
Tumor Tissue ◽  
Ultrasound Elastography ◽  
Surrounding Tissue ◽  
Mechanical Parameters ◽  
Element Analysis ◽  
The Impact

Cancerous tissues are known to possess different poroelastic properties with respect to normal tissues. Interstitial permeability is one of these properties, and it has been shown to be of diagnostic relevance for the detection of soft tissue cancers and for assessment of their treatment. In some cases, interstitial permeability of cancers has been reported to be lower than the surrounding tissue, while in other cases interstitial permeability of cancers has been reported to be higher than the surrounding tissue. We have previously reported an analytical model of a cylindrical tumor embedded in a more permeable background. In this paper, we present and analyze a poroelastic mathematical model of a tumor tissue in cylindrical coordinate system, where the permeability of the tumor tissue is assumed to be higher than the surrounding normal tissue. A full set of analytical expressions are obtained for radial displacement, strain, and fluid pressure under stress relaxation testing conditions. The results obtained with the proposed analytical model are compared with corresponding finite element analysis results for a broad range of mechanical parameters of the tumor. The results indicate that the proposed model is accurate and closely resembles the finite element analysis. The availability of this model and its solutions can be helpful for ultrasound elastography applications such as for extracting the mechanical parameters of the tumor and normal tissue and, in general, to study the impact of poroelastic material properties in the assessment of tumors.

scholarly journals New Technique for Processing Tissue Displacements Estimation in Breast Ultrasound Elastography

2018 ◽  
Vol 09 (01) ◽  
Author(s):  
Taher Slimi ◽  
Ines Marzouk Moussa ◽  
Tarek Kraiem ◽  
Halima Mahjoubi
Keyword(s):  
Breast Ultrasound ◽  
Ultrasound Elastography ◽  
New Technique

scholarly journals Neural-network-based Motion Tracking for Breast Ultrasound Strain Elastography: An Initial Assessment of Performance and Feasibility

2020 ◽  
Vol 42 (2) ◽  
pp. 74-91 ◽  
Author(s):  
Bo Peng ◽  
Yuhong Xian ◽  
Quan Zhang ◽  
Jingfeng Jiang
Keyword(s):  
Neural Network ◽  
Speckle Tracking ◽  
Breast Ultrasound ◽  
Ultrasound Elastography ◽  
Initial Assessment ◽  
Lateral Strain ◽  
Tracking Method ◽  
Strain Elastography ◽  
2D Speckle Tracking

Accurate tracking of tissue motion is critically important for several ultrasound elastography methods. In this study, we investigate the feasibility of using three published convolution neural network (CNN) models built for optical flow (hereafter referred to as CNN-based tracking) by the computer vision community for breast ultrasound strain elastography. Elastographic datasets produced by finite element and ultrasound simulations were used to retrain three published CNN models: FlowNet-CSS, PWC-Net, and LiteFlowNet. After retraining, the three improved CNN models were evaluated using computer-simulated and tissue-mimicking phantoms, and in vivo breast ultrasound data. CNN-based tracking results were compared with two published two-dimensional (2D) speckle tracking methods: coupled tracking and GLobal Ultrasound Elastography (GLUE) methods. Our preliminary data showed that, based on the Wilcoxon rank-sum tests, the improvements due to retraining were statistically significant (p < 0.05) for all three CNN models. We also found that the PWC-Net model was the best neural network model for data investigated, and its overall performance was on par with the coupled tracking method. CNR values estimated from in vivo axial and lateral strain elastograms showed that the GLUE algorithm outperformed both the retrained PWC-Net model and the coupled tracking method, though the GLUE algorithm exhibited some biases. The PWC-Net model was also able to achieve approximately 45 frames/second for 2D speckle tracking data investigated.

A Novel Finite Element Model to Assess the Effect of Solid Stress Inside Tumors on Elastographic Normal Strains and Fluid Pressure

2019 ◽  
Vol 2 (3) ◽  
Author(s):  
Md Tauhidul Islam ◽  
Raffaella Righetti
Keyword(s):  
Finite Element ◽  
Mechanical Behavior ◽  
Imaging Modality ◽  
Fluid Pressure ◽  
Element Model ◽  
Ultrasound Elastography ◽  
Fe Model ◽  
Solid Stress ◽  
Noninvasive Imaging Modality ◽  
Clinically Significant

Ultrasound elastography is a noninvasive imaging modality used to assess the mechanical behavior of tissues, including cancers. Analytical and finite element (FE) models are useful and effective tools to understand the mechanical behavior of cancers and predict elastographic parameters under different testing conditions. A number of analytical and FE models to describe the mechanical behavior of cancers in elastography have been reported in the literature. However, none of these models consider the presence of solid stress (SS) inside the cancer, a clinically significant mechanical parameter with an influential role in cancer initiation, progression, and metastasis. In this paper, we develop an FE model applicable to cancers, which include both SS and elevated interstitial fluid pressure (IFP). This model is then used to assess the effects of these mechanical parameters on the normal strains and the fluid pressure, estimated using ultrasound poroelastography. Our results indicate that SS creates space-dependent changes in the strains and fluid pressure inside the tumor. This is in contrast to the effects produced by IFP on the strains and fluid pressure, which are uniformly distributed across the cancer. The developed model can help elucidating the role of SS on elastographic parameters and images. It may also provide a means to indirectly obtain information about the SS from the observed changes in the experimental elastographic images.

Breast ultrasound elastography—Results of 193 breast lesions in a prospective study with histopathologic correlation

2011 ◽  
Vol 77 (3) ◽  
pp. 450-456 ◽  
Author(s):  
F.K.W. Schaefer ◽  
I. Heer ◽  
P.J. Schaefer ◽  
C. Mundhenke ◽  
S. Osterholz ◽  
...  
Keyword(s):  
Prospective Study ◽  
Breast Ultrasound ◽  
Ultrasound Elastography ◽  
Breast Lesions ◽  
A Prospective Study
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