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An Iterative Method for Estimating Nonlinear Elastic Constants of Tumor in Soft Tissue from Approximate Displacement Measurements
OBJECTIVES: Various elastography techniques have been proffered based on linear or nonlinear constitutive models with the aim of detecting and classifying pathologies in soft tissues accurately and noninvasively. Biological soft tissues demonstrate behaviors which conform to nonlinear constitutive m...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339765/ https://www.ncbi.nlm.nih.gov/pubmed/30723537 http://dx.doi.org/10.1155/2019/2374645 |
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author | Dastjerdi, Maryam Mehdizadeh Fallah, Ali Rashidi, Saeid |
author_facet | Dastjerdi, Maryam Mehdizadeh Fallah, Ali Rashidi, Saeid |
author_sort | Dastjerdi, Maryam Mehdizadeh |
collection | PubMed |
description | OBJECTIVES: Various elastography techniques have been proffered based on linear or nonlinear constitutive models with the aim of detecting and classifying pathologies in soft tissues accurately and noninvasively. Biological soft tissues demonstrate behaviors which conform to nonlinear constitutive models, in particular the hyperelastic ones. In this paper, we represent the results of our steps towards implementing ultrasound elastography to extract hyperelastic constants of a tumor inside soft tissue. METHODS: Hyperelastic parameters of the unknown tissue have been estimated by applying the iterative method founded on the relation between stress, strain, and the parameters of a hyperelastic model after (a) simulating the medium's response to a sinusoidal load and extracting the tissue displacement fields in some instants and (b) estimating the tissue displacement fields from the recorded/simulated ultrasound radio frequency signals and images using the cross correlation-based technique. RESULTS: Our results indicate that hyperelastic parameters of an unidentified tissue could be precisely estimated even in the conditions where there is no prior knowledge of the tissue, or the displacement fields have been approximately calculated using the data recorded by a clinical ultrasound system. CONCLUSIONS: The accurate estimation of nonlinear elastic constants yields to the correct cognizance of pathologies in soft tissues. |
format | Online Article Text |
id | pubmed-6339765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-63397652019-02-05 An Iterative Method for Estimating Nonlinear Elastic Constants of Tumor in Soft Tissue from Approximate Displacement Measurements Dastjerdi, Maryam Mehdizadeh Fallah, Ali Rashidi, Saeid J Healthc Eng Research Article OBJECTIVES: Various elastography techniques have been proffered based on linear or nonlinear constitutive models with the aim of detecting and classifying pathologies in soft tissues accurately and noninvasively. Biological soft tissues demonstrate behaviors which conform to nonlinear constitutive models, in particular the hyperelastic ones. In this paper, we represent the results of our steps towards implementing ultrasound elastography to extract hyperelastic constants of a tumor inside soft tissue. METHODS: Hyperelastic parameters of the unknown tissue have been estimated by applying the iterative method founded on the relation between stress, strain, and the parameters of a hyperelastic model after (a) simulating the medium's response to a sinusoidal load and extracting the tissue displacement fields in some instants and (b) estimating the tissue displacement fields from the recorded/simulated ultrasound radio frequency signals and images using the cross correlation-based technique. RESULTS: Our results indicate that hyperelastic parameters of an unidentified tissue could be precisely estimated even in the conditions where there is no prior knowledge of the tissue, or the displacement fields have been approximately calculated using the data recorded by a clinical ultrasound system. CONCLUSIONS: The accurate estimation of nonlinear elastic constants yields to the correct cognizance of pathologies in soft tissues. Hindawi 2019-01-06 /pmc/articles/PMC6339765/ /pubmed/30723537 http://dx.doi.org/10.1155/2019/2374645 Text en Copyright © 2019 Maryam Mehdizadeh Dastjerdi et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Dastjerdi, Maryam Mehdizadeh Fallah, Ali Rashidi, Saeid An Iterative Method for Estimating Nonlinear Elastic Constants of Tumor in Soft Tissue from Approximate Displacement Measurements |
title | An Iterative Method for Estimating Nonlinear Elastic Constants of Tumor in Soft Tissue from Approximate Displacement Measurements |
title_full | An Iterative Method for Estimating Nonlinear Elastic Constants of Tumor in Soft Tissue from Approximate Displacement Measurements |
title_fullStr | An Iterative Method for Estimating Nonlinear Elastic Constants of Tumor in Soft Tissue from Approximate Displacement Measurements |
title_full_unstemmed | An Iterative Method for Estimating Nonlinear Elastic Constants of Tumor in Soft Tissue from Approximate Displacement Measurements |
title_short | An Iterative Method for Estimating Nonlinear Elastic Constants of Tumor in Soft Tissue from Approximate Displacement Measurements |
title_sort | iterative method for estimating nonlinear elastic constants of tumor in soft tissue from approximate displacement measurements |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339765/ https://www.ncbi.nlm.nih.gov/pubmed/30723537 http://dx.doi.org/10.1155/2019/2374645 |
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