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An H(∞) Strategy for Strain Estimation in Ultrasound Elastography Using Biomechanical Modeling Constraint

The purpose of ultrasound elastography is to identify lesions by reconstructing the hardness characteristics of tissue reconstructed from ultrasound data. Conventional quasi-static ultrasound elastography is easily applied to obtain axial strain components along the compression direction, with the r...

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Autores principales: Hu, Zhenghui, Zhang, Heye, Yuan, Jinwei, Lu, Minhua, Chen, Siping, Liu, Huafeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3772814/
https://www.ncbi.nlm.nih.gov/pubmed/24058460
http://dx.doi.org/10.1371/journal.pone.0073093
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author Hu, Zhenghui
Zhang, Heye
Yuan, Jinwei
Lu, Minhua
Chen, Siping
Liu, Huafeng
author_facet Hu, Zhenghui
Zhang, Heye
Yuan, Jinwei
Lu, Minhua
Chen, Siping
Liu, Huafeng
author_sort Hu, Zhenghui
collection PubMed
description The purpose of ultrasound elastography is to identify lesions by reconstructing the hardness characteristics of tissue reconstructed from ultrasound data. Conventional quasi-static ultrasound elastography is easily applied to obtain axial strain components along the compression direction, with the results inverted to represent the distribution of tissue hardness under the assumption of constant internal stresses. However, previous works of quasi-static ultrasound elastography have found it difficult to obtain the lateral and shear strain components, due to the poor lateral resolution of conventional ultrasound probes. The physical nature of the strain field is a continuous vector field, which should be fully described by the axial, lateral, and shear strain components, and the clinical value of lateral and shear strain components of deformed tissue is gradually being recognized by both engineers and clinicians. Therefore, a biomechanical-model-constrained filtering framework is proposed here for recovering a full displacement field at a high spatial resolution from the noisy ultrasound data. In our implementation, after the biomechanical model constraint is integrated into the state-space equation, both the axial and lateral displacement components can be recovered at a high spatial resolution from the noisy displacement measurements using a robust [Image: see text] filter, which only requires knowledge of the worst-case noise levels in the measurements. All of the strain components can then be calculated by applying a gradient operator to the recovered displacement field. Numerical experiments on synthetic data demonstrated the robustness and effectiveness of our approach, and experiments on phantom data and in-vivo clinical data also produced satisfying results.
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spelling pubmed-37728142013-09-20 An H(∞) Strategy for Strain Estimation in Ultrasound Elastography Using Biomechanical Modeling Constraint Hu, Zhenghui Zhang, Heye Yuan, Jinwei Lu, Minhua Chen, Siping Liu, Huafeng PLoS One Research Article The purpose of ultrasound elastography is to identify lesions by reconstructing the hardness characteristics of tissue reconstructed from ultrasound data. Conventional quasi-static ultrasound elastography is easily applied to obtain axial strain components along the compression direction, with the results inverted to represent the distribution of tissue hardness under the assumption of constant internal stresses. However, previous works of quasi-static ultrasound elastography have found it difficult to obtain the lateral and shear strain components, due to the poor lateral resolution of conventional ultrasound probes. The physical nature of the strain field is a continuous vector field, which should be fully described by the axial, lateral, and shear strain components, and the clinical value of lateral and shear strain components of deformed tissue is gradually being recognized by both engineers and clinicians. Therefore, a biomechanical-model-constrained filtering framework is proposed here for recovering a full displacement field at a high spatial resolution from the noisy ultrasound data. In our implementation, after the biomechanical model constraint is integrated into the state-space equation, both the axial and lateral displacement components can be recovered at a high spatial resolution from the noisy displacement measurements using a robust [Image: see text] filter, which only requires knowledge of the worst-case noise levels in the measurements. All of the strain components can then be calculated by applying a gradient operator to the recovered displacement field. Numerical experiments on synthetic data demonstrated the robustness and effectiveness of our approach, and experiments on phantom data and in-vivo clinical data also produced satisfying results. Public Library of Science 2013-09-13 /pmc/articles/PMC3772814/ /pubmed/24058460 http://dx.doi.org/10.1371/journal.pone.0073093 Text en © 2013 Hu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Hu, Zhenghui
Zhang, Heye
Yuan, Jinwei
Lu, Minhua
Chen, Siping
Liu, Huafeng
An H(∞) Strategy for Strain Estimation in Ultrasound Elastography Using Biomechanical Modeling Constraint
title An H(∞) Strategy for Strain Estimation in Ultrasound Elastography Using Biomechanical Modeling Constraint
title_full An H(∞) Strategy for Strain Estimation in Ultrasound Elastography Using Biomechanical Modeling Constraint
title_fullStr An H(∞) Strategy for Strain Estimation in Ultrasound Elastography Using Biomechanical Modeling Constraint
title_full_unstemmed An H(∞) Strategy for Strain Estimation in Ultrasound Elastography Using Biomechanical Modeling Constraint
title_short An H(∞) Strategy for Strain Estimation in Ultrasound Elastography Using Biomechanical Modeling Constraint
title_sort h(∞) strategy for strain estimation in ultrasound elastography using biomechanical modeling constraint
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3772814/
https://www.ncbi.nlm.nih.gov/pubmed/24058460
http://dx.doi.org/10.1371/journal.pone.0073093
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