Literature DB >> 28584385

Direct Error in Constitutive Equation Formulation for Plane stress Inverse Elasticity Problem.

Olalekan A Babaniyi1, Assad A Oberai2, Paul E Barbone1.   

Abstract

We present a new computational formulation for inverse problems in elasticity with full field data. The formulation is a variant of an error in the constitutive equation formulation, but allows direct solution for the modulus field and accommodates discontinuous strain fields. The development of the formulation is motivated by the relatively poor performance of current direct formulations, reported so far in literature, in dealing with discontinuities in the strain and material property distribution. The formulation relies on minimizing the error in the constitutive equation, and a momentum equation constraint. Numerical results on model problems show that the formulation is capable handling discontinuous, and noisy strain fields, and also converging with mesh refinement for continuous and discontinuous material property distributions. The application to reconstruct the elastic modulus distribution in solid breast tumors is shown.

Entities:  

Keywords:  biomechanical imaging; discontinuous; elastography; error in constitutive equations; inverse problems

Year:  2017        PMID: 28584385      PMCID: PMC5456344          DOI: 10.1016/j.cma.2016.10.026

Source DB:  PubMed          Journal:  Comput Methods Appl Mech Eng        ISSN: 0045-7825            Impact factor:   6.756


  22 in total

1.  Elastic moduli of breast and prostate tissues under compression.

Authors:  T A Krouskop; T M Wheeler; F Kallel; B S Garra; T Hall
Journal:  Ultrason Imaging       Date:  1998-10       Impact factor: 1.578

2.  Characterization of plaque components with intravascular ultrasound elastography in human femoral and coronary arteries in vitro.

Authors:  C L de Korte; G Pasterkamp; A F van der Steen; H A Woutman; N Bom
Journal:  Circulation       Date:  2000-08-08       Impact factor: 29.690

3.  Evaluation of the adjoint equation based algorithm for elasticity imaging.

Authors:  Assad A Oberai; Nachiket H Gokhale; Marvin M Doyley; Jeffrey C Bamber
Journal:  Phys Med Biol       Date:  2004-07-07       Impact factor: 3.609

4.  Elastic modulus imaging: some exact solutions of the compressible elastography inverse problem.

Authors:  Paul E Barbone; Assad A Oberai
Journal:  Phys Med Biol       Date:  2007-02-16       Impact factor: 3.609

5.  Quantifying hepatic shear modulus in vivo using acoustic radiation force.

Authors:  M L Palmeri; M H Wang; J J Dahl; K D Frinkley; K R Nightingale
Journal:  Ultrasound Med Biol       Date:  2008-01-25       Impact factor: 2.998

6.  Nonlinear elastic behavior of phantom materials for elastography.

Authors:  Theo Z Pavan; Ernest L Madsen; Gary R Frank; Antonio Adilton O Carneiro; Timothy J Hall
Journal:  Phys Med Biol       Date:  2010-04-19       Impact factor: 3.609

7.  Accuracy and precision of digital volume correlation in quantifying displacements and strains in trabecular bone.

Authors:  Li Liu; Elise F Morgan
Journal:  J Biomech       Date:  2007-06-13       Impact factor: 2.712

8.  Assessment of hepatic fibrosis with magnetic resonance elastography.

Authors:  Meng Yin; Jayant A Talwalkar; Kevin J Glaser; Armando Manduca; Roger C Grimm; Phillip J Rossman; Jeff L Fidler; Richard L Ehman
Journal:  Clin Gastroenterol Hepatol       Date:  2007-10       Impact factor: 11.382

9.  Liver fibrosis: non-invasive assessment with MR elastography.

Authors:  Laurent Huwart; Frank Peeters; Ralph Sinkus; Laurence Annet; Najat Salameh; Leon C ter Beek; Yves Horsmans; Bernard E Van Beers
Journal:  NMR Biomed       Date:  2006-04       Impact factor: 4.044

10.  Transient elastography: a new noninvasive method for assessment of hepatic fibrosis.

Authors:  Laurent Sandrin; Bertrand Fourquet; Jean-Michel Hasquenoph; Sylvain Yon; Céline Fournier; Frédéric Mal; Christos Christidis; Marianne Ziol; Bruno Poulet; Farad Kazemi; Michel Beaugrand; Robert Palau
Journal:  Ultrasound Med Biol       Date:  2003-12       Impact factor: 2.998

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  1 in total

1.  Learning hidden elasticity with deep neural networks.

Authors:  Chun-Teh Chen; Grace X Gu
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-03       Impact factor: 11.205

  1 in total

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