Efficient Sensitivity Based Reconstruction Technique to Accomplish Breast Hyperelastic Elastography

Author:

Dastjerdi Maryam Mehdizadeh1ORCID,Fallah Ali1ORCID,Rashidi Saeid2ORCID

Affiliation:

1. Department of Biomedical Engineering, Amirkabir University of Technology (AUT), Tehran 15875-4413, Iran

2. Faculty of Medical Sciences and Technologies, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran

Abstract

Hyperelastic models have been acknowledged as constitutive equations which reliably model the nonlinear behaviors observed from soft tissues under various loading conditions. Among them, the Mooney-Rivlin, Yeoh, and polynomial models have been proved capable of accurately modeling responses of breast tissues to applied compressions. Hyperelastic elastography technique takes advantage of the disparities between hyperelastic parameters of varied tissues and the change in hyperelastic parameters in pathological processes. The precise reconstruction of hyperelastic parameters of a completely unknown pathology in the breast in a noninvasive and nondestructive way using the ultrasound elastography has been scrutinized in this paper. In the ultrasound elastography, tissue displacement field is extracted from radio frequency signals or images recorded using the ultrasound medical imaging system; hence the exact displacement field might not be obtained. Our results indicate that the parameters estimated by manipulating the iterative sensitivity-matrix based method converge to tissue’s real hyperelastic parameters providing appropriate parameters are assigned to the hypothetical hyperelastic and regularization parameters. Iterative methods have therefore been proposed to compute proper hypothetical hyperelastic and regularization parameters. Accurate estimates of hyperelastic parameters of obscure breast pathology have been achieved even from imprecise measurements of displacements induced in the tissue by the ramp excitation.

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Strain Elastogram Improvement through Dynamic Programming Refinement using Multi-objective Optimization Technique;2023 30th National and 8th International Iranian Conference on Biomedical Engineering (ICBME);2023-11-30

2. Noninvasive Diagnosis of the Type of Breast Tumor through Artificial Neural Networks;2021 29th Iranian Conference on Electrical Engineering (ICEE);2021-05-18

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