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...

Full description

Bibliographic Details
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
Description
Summary: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.
ISSN:0971-6203
1998-3913