2019
DOI: 10.1115/1.4043259
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In Vivo Layer-Specific Mechanical Characterization of Porcine Stomach Tissue Using a Customized Ultrasound Elastography System

Abstract: This paper presents in vivo mechanical characterization of the muscularis, submucosa, and mucosa of the porcine stomach wall under large deformation loading. This is particularly important for the development of gastrointestinal pathology-specific surgical intervention techniques. The study is based on testing the cardiac and fundic glandular stomach regions using a custom-developed compression ultrasound elastography system. Particular attention has been paid to elucidate the heterogeneity and anisotropy of t… Show more

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Cited by 4 publications
(11 citation statements)
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“…The mucosal lining of the stomach has tiny holes (∼30 μm in diameter in humans) called gastric pits, , which are assumed to be periodically distributed along the mucosal surface. In addition, it is assumed that the mucosal surface is homogeneous and isotropic, with an elastic modulus E m = 1–20 kPa and Poisson’s ratio υ = 0.4. , …”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…The mucosal lining of the stomach has tiny holes (∼30 μm in diameter in humans) called gastric pits, , which are assumed to be periodically distributed along the mucosal surface. In addition, it is assumed that the mucosal surface is homogeneous and isotropic, with an elastic modulus E m = 1–20 kPa and Poisson’s ratio υ = 0.4. , …”
Section: Resultsmentioning
confidence: 99%
“…In addition, it is assumed that the mucosal surface is homogeneous and isotropic, with an elastic modulus E m = 1–20 kPa and Poisson’s ratio υ = 0.4. 15 , 16 …”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…x 1 ¼ cos 2 h ð"slow" voxelsÞ cos 2 2h ð"fast" voxelsÞ and x 2 ¼ 0 ð"slow" voxelsÞ sin 2 2h ð"fast" voxelsÞ & & (20) Voxels classified as either slow or fast were included in the fit based on the criteria in Table 2. These values and the corresponding values of the independent variables for slow and fast voxels were used in the data sets fitted by the linear regression equation (Eq.…”
Section: Parameter Estimation By Multiple Linear Regressionmentioning
confidence: 99%