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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Main Authors: Alexandre Brazy, Elijah Van Houten
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Journal of Medical Physics
Subjects:
Online Access:http://www.jmp.org.in/article.asp?issn=0971-6203;year=2020;volume=45;issue=3;spage=168;epage=174;aulast=Brazy
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author Alexandre Brazy
Elijah Van Houten
author_facet Alexandre Brazy
Elijah Van Houten
author_sort Alexandre Brazy
collection DOAJ
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 doaj.art-746d9b3f24064c29926e289b70f59fba2022-12-21T19:34:04ZengWolters Kluwer Medknow PublicationsJournal of Medical Physics0971-62031998-39132020-01-0145316817410.4103/jmp.JMP_99_19Gradient based elastic property reconstruction in digital image correlation elastographyAlexandre BrazyElijah Van HoutenAim: 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.http://www.jmp.org.in/article.asp?issn=0971-6203;year=2020;volume=45;issue=3;spage=168;epage=174;aulast=Brazydigital image correlation elastographyelastographyvisco-elastic
spellingShingle Alexandre Brazy
Elijah Van Houten
Gradient based elastic property reconstruction in digital image correlation elastography
Journal of Medical Physics
digital image correlation elastography
elastography
visco-elastic
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 digital image correlation elastography
elastography
visco-elastic
url http://www.jmp.org.in/article.asp?issn=0971-6203;year=2020;volume=45;issue=3;spage=168;epage=174;aulast=Brazy
work_keys_str_mv AT alexandrebrazy gradientbasedelasticpropertyreconstructionindigitalimagecorrelationelastography
AT elijahvanhouten gradientbasedelasticpropertyreconstructionindigitalimagecorrelationelastography