Reconstructive elasticity imaging for large deformations

Reconstructive elasticity imaging for large deformations

A method is presented to reconstruct the elastic modulus of soft tissue based on ultrasonic displacement and strain images for comparatively large deformations. If the average deformation is too large to be described with a linear elastic model, nonlinear displacement-strain relations must be used a...

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Bibliographic Details
Published in:IEEE transactions on ultrasonics, ferroelectrics, and frequency control Vol. 46; no. 3; pp. 523 - 535
Main Authors: Skovoroda, A.R., Lubinski, L.A., Emelianov, S.Y., O'Donnell, M.
Format: Journal Article
Language:English
Published: United States IEEE 1999
Subjects:
Algorithms
Biological tissues
Capacitive sensors
Computer simulation
Deformable models
Deformation
Derivatives
Displacement
Elastic deformation
Elastic moduli
Elasticity
Errors
Image quality
Image reconstruction
Imaging phantoms
Mathematical models
Nonlinear equations
Numerical methods
Reconstruction
Reconstruction algorithms
Tissue
Ultrasonic imaging
Ultrasonic measurement
Ultrasonic variables measurement
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Description
Summary:A method is presented to reconstruct the elastic modulus of soft tissue based on ultrasonic displacement and strain images for comparatively large deformations. If the average deformation is too large to be described with a linear elastic model, nonlinear displacement-strain relations must be used and the mechanical equilibrium equations must include high order spatial derivatives of the displacement. Numerical methods were developed to reduce error propagation in reconstruction algorithms, including these higher order derivatives. Problems arising with the methods, as well as results using ultrasound measurements on gel-based, tissue equivalent phantoms, are given. Comparison to reconstructions using a linear elastic model shows that equivalent image quality can be produced with algorithms appropriate for finite amplitude deformations.
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ISSN:0885-3010
1525-8955
DOI:10.1109/58.764839