Breast Tumor Diagnosis Using Finite‐Element Modeling Based on Clinical in vivo Elastographic Data

2020 ◽  
Vol 39 (12) ◽  
pp. 2351-2363
Author(s):  
Ahmed M. Sayed ◽  
Mohamed A. Naser ◽  
Ashraf A. Wahba ◽  
Mohamed A. A. Eldosoky
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Breast Tumor ◽  
Tumor Diagnosis ◽  
Element Modeling

scholarly journals In vivo bone strain and finite-element modeling of the craniofacial haft in catarrhine primates

2010 ◽  
Vol 218 (1) ◽  
pp. 112-141 ◽  
Author(s):  
Callum F. Ross ◽  
Michael A. Berthaume ◽  
Paul C. Dechow ◽  
Jose Iriarte-Diaz ◽  
Laura B. Porro ◽  
...  
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Bone Strain ◽  
Element Modeling ◽  
Catarrhine Primates

scholarly journals In vivo estimation of murine iris stiffness using finite element modeling

2021 ◽  
Vol 202 ◽  
pp. 108374
Author(s):  
Chanyoung Lee ◽  
Guorong Li ◽  
W. Daniel Stamer ◽  
C. Ross Ethier
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Element Modeling

scholarly journals Finite element modeling of proximal tibial stiffness in normal and osteoarthritic knees: in vivo precision and preliminary comparisons

2016 ◽  
Vol 24 ◽  
pp. S309-S310
Author(s):  
H. Arjmand ◽  
M. Nazemi ◽  
S.A. Kontulainen ◽  
J.S. Milner ◽  
D.W. Holdsworth ◽  
...  
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Element Modeling

scholarly journals Combining Freehand Ultrasound-Based Indentation and Inverse Finite Element Modeling for the Identification of Hyperelastic Material Properties of Thigh Soft Tissues

2020 ◽  
Vol 142 (9) ◽  
Author(s):  
Nolwenn Fougeron ◽  
Pierre-Yves Rohan ◽  
Diane Haering ◽  
Jean-Loïc Rose ◽  
Xavier Bonnet ◽  
...  
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Material Properties ◽  
Soft Tissues ◽  
Force Sensor ◽  
Element Analysis ◽  
Element Modeling ◽  
The Mean ◽  
Constitutive Parameters

Abstract Finite element analysis (FEA) is a numerical modeling tool vastly employed in research facilities to analyze and predict load transmission between the human body and a medical device, such as a prosthesis or an exoskeleton. Yet, the use of finite element modeling (FEM) in a framework compatible with clinical constraints is hindered by, among others, heavy and time-consuming assessments of material properties. Ultrasound (U.S.) imaging opens new and unique opportunities for the assessment of in vivo material properties of soft tissues. Confident of these advances, a method combining a freehand U.S. probe and a force sensor was developed in order to compute the hyperelastic constitutive parameters of the soft tissues of the thigh in both relaxed (R) and contracted (C) muscles' configurations. Seven asymptomatic subjects were included for the experiment. Two operators in each configuration performed the acquisitions. Inverse FEM allowed for the optimization of an Ogden's hyperelastic constitutive model of soft tissues of the thigh in large displacement. The mean shear modulus identified for configurations R and C was, respectively, 3.2 ± 1.3 kPa and 13.7 ± 6.5 kPa. The mean alpha parameter identified for configurations R and C was, respectively, 10 ± 1 and 9 ± 4. An analysis of variance showed that the configuration had an effect on constitutive parameters but not on the operator.

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