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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
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author Brazy, Alexandre
Houten, Elijah Van
author_facet Brazy, Alexandre
Houten, Elijah Van
author_sort Brazy, Alexandre
collection PubMed
description 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.
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spelling pubmed-78101412021-01-22 Gradient Based Elastic Property Reconstruction in Digital Image Correlation Elastography Brazy, Alexandre Houten, Elijah Van J Med Phys Original Article 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. Wolters Kluwer - Medknow 2020 2020-10-13 /pmc/articles/PMC7810141/ /pubmed/33487929 http://dx.doi.org/10.4103/jmp.JMP_99_19 Text en Copyright: © 2020 Journal of Medical Physics http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Brazy, Alexandre
Houten, Elijah Van
Gradient Based Elastic Property Reconstruction in Digital Image Correlation Elastography
title Gradient Based Elastic Property Reconstruction in Digital Image Correlation Elastography
title_full Gradient Based Elastic Property Reconstruction in Digital Image Correlation Elastography
title_fullStr Gradient Based Elastic Property Reconstruction in Digital Image Correlation Elastography
title_full_unstemmed Gradient Based Elastic Property Reconstruction in Digital Image Correlation Elastography
title_short Gradient Based Elastic Property Reconstruction in Digital Image Correlation Elastography
title_sort gradient based elastic property reconstruction in digital image correlation elastography
topic Original Article
url 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
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