A numerical method to detect soft tissue injuries from tissue displacements

DOI10.1080/17415977.2014.890612zbMath1304.74047OpenAlexW2063351816MaRDI QIDQ2938553

Yingxin Gao, Amy L. Cochran

Publication date: 14 January 2015

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2014.890612

zbMATH Keywords

principal component analysisultrasound elastographydamage displacementsoft tissue injury

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Biomechanics (92C10) Biomechanical solid mechanics (74L15) Numerical methods for inverse problems for boundary value problems involving PDEs (65N21)

Uses Software

• iFEM
• DistMesh

Cites Work

• Mathematical and statistical methods for multistatic imaging
• Solution of the nonlinear elasticity imaging inverse problem: the incompressible case
• Finite element implementation of incompressible, transversely isotropic hyperelasticity
• Time-reversal algorithms in viscoelastic media
• Localization, Stability, and Resolution of Topological Derivative Based Imaging Functionals in Elasticity
• Multistatic Imaging of Extended Targets
• Direct Elastic Imaging of a Small Inclusion
• Tissue Mechanics
• A method of biological tissues elasticity reconstruction using magnetic resonance elastography measurements
• Solution of the nonlinear elasticity imaging inverse problem: the compressible case
• An uncoupled directional damage model for fibred biological soft tissues. Formulation and computational aspects
• Solution of inverse problems in elasticity imaging using the adjoint method
• A Simple Mesh Generator in MATLAB

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