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• W2947600343 startingPage "1292" @default.
• W2947600343 abstract "Nonlinear elasticity imaging provides additional information about tissue behavior that is potentially diagnostic and avoids errors inherent in applying a linear elastic model to tissue under large strains. Nonlinear elasticity imaging is challenging to perform due to the large deformations required to obtain sufficient tissue strain to elicit nonlinear behavior. This work uses a method of axial and lateral displacement tracking to estimate local axial strain with simultaneous measurement of shear modulus at multiple compression levels. By following the change in apparent shear modulus and the stress deduced from the strain maps, we are able to accurately quantify nonlinear shear modulus (NLSM). We have validated our technique with a mechanical NLSM measurement system. Our results demonstrate that 2-D tracking provides more consistent NLSM estimates than those obtained by 1-D (axial) tracking alone, especially where lateral motion is significant. The elastographic contrast-to-noise ratio in heterogeneous phantoms was 12.5%-60% higher using our method than that of 1-D tracking. Our method is less susceptible to mechanical variations, with deviations in mean elastic values of 2%-4% versus 5%-37% for 1-D tracking." @default.
• W2947600343 created "2019-06-07" @default.
• W2947600343 creator A5069725359 @default.
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• W2947600343 date "2019-08-01" @default.
• W2947600343 modified "2023-10-14" @default.
• W2947600343 title "Nonlinear Shear Modulus Estimation With Bi-Axial Motion Registered Local Strain" @default.
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• W2947600343 doi "https://doi.org/10.1109/tuffc.2019.2919600" @default.
• W2947600343 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6684490" @default.
• W2947600343 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31150340" @default.
• W2947600343 hasPublicationYear "2019" @default.
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