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Ultrasonic Imaging of High-contrasted Objects Based on Full-waveform Inversion: Limits under Fluid Modeling.
Espinosa, Luis; Doveri, Elise; Bernard, Simon; Monteiller, Vadim; Guillermin, Régine; Lasaygues, Philippe.
Afiliação
  • Espinosa L; Aix-Marseille Université, CNRS, Centrale Marseille, LMA, Marseille, France.
  • Doveri E; Aix-Marseille Université, CNRS, Centrale Marseille, LMA, Marseille, France.
  • Bernard S; Laboratoire Ondes et Milieux Complexes, Université du Havre, Le Havre, France.
  • Monteiller V; Aix-Marseille Université, CNRS, Centrale Marseille, LMA, Marseille, France.
  • Guillermin R; Aix-Marseille Université, CNRS, Centrale Marseille, LMA, Marseille, France.
  • Lasaygues P; Aix-Marseille Université, CNRS, Centrale Marseille, LMA, Marseille, France.
Ultrason Imaging ; 43(2): 88-99, 2021 03.
Article em En | MEDLINE | ID: mdl-33563137
ABSTRACT
Quantitative ultrasound techniques have been previously used to evaluate biological hard tissues, characterized by a large acoustic impedance contrast. Here, we are interested in the imaging of experimental data from different test-targets with high acoustic impedance contrast, using the Full Waveform Inversion (FWI) method to solve the inverse problem. This method is based on high-resolution numerical modeling of the forward problem of interaction between waves and medium, considering the full time series. To reduce the complexity of the numerical implementation, the model considers a fluid medium. Therefore, the aim is to evaluate the precision of the reconstruction under this assumption for materials with a different level of attenuation of shear waves, to study the limits of this hypothesis. Images of the sound speed obtained using the experimental data are presented, and the precision of the reconstruction is evaluated. Future work should include viscoelastic materials.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Som / Algoritmos Tipo de estudo: Diagnostic_studies Idioma: En Revista: Ultrason Imaging Ano de publicação: 2021 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Som / Algoritmos Tipo de estudo: Diagnostic_studies Idioma: En Revista: Ultrason Imaging Ano de publicação: 2021 Tipo de documento: Article País de afiliação: França