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Gradient Based Elastic Property Reconstruction in Digital Image Correlation Elastography

AIM: A Conjugate Gradient implementation of the Digital Image Correlation Elastography method is presented. METHOD: The gradient is calculated using the adjoint method, requiring only two forward solutions regardless of the number of mechanical properties to reconstruct. A power-law based multi-freq...

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Detalles Bibliográficos
Autores principales: Brazy, Alexandre, Houten, Elijah Van
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810141/
https://www.ncbi.nlm.nih.gov/pubmed/33487929
http://dx.doi.org/10.4103/jmp.JMP_99_19
Descripción
Sumario:AIM: A Conjugate Gradient implementation of the Digital Image Correlation Elastography method is presented. METHOD: The gradient is calculated using the adjoint method, requiring only two forward solutions regardless of the number of mechanical properties to reconstruct. A power-law based multi-frequency viscoelastic model is used to relate the reconstructed mechanical properties and the Digital Image Correlation surface displacement measurements. RESULT: The method is tested against harmonic surface motion fields generated through numerical simulation and measured on a silicon phantom. CONCLUSION: Reconstruction results show the ability of the gradient reconstruction method to detect stiff internal inclusions in simulated and phantom data.