High Sound-Contrast Inverse Scattering by MR-MF-DBIM Scheme

• Type: Article in International Scientific Journal
• Date: 2022

Authors

Luong Thi Theu (Author) Other; Tran Quang-Huy (Author) Other; Tran Duc-Nghia (Author) Other; Vijender Kumar Solanki (Author) Other; Tran Duc-Tan (Author) Other; João Manuel R. S. Tavares (Author) FEUP

Journal

Title: Electronics (Switzerland)

Vol. 11 No. 19

Pages: 1-3203

ISSN: 2079-9292

Publisher: MDPI

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Scientific classification

CORDIS: Technological sciences

FOS: Medical and Health sciences

Other information

Authenticus ID: P-00X-BVT

DOI: 10.3390/electronics11193203

Abstract (EN): In ultrasound tomography, cross-sectional images represent the spatial distribution of the physical parameters of a target of interest, which can be obtained based on scattered ultrasound measurements. These measurements can be obtained from dense datasets collected at different transmitter and receiver locations, and using multiple frequencies. The Born approximation method, which provides a simple linear relationship between the objective function and the scattering field, has been adopted to resolve the inverse scattering problem. The distorted Born iterative method (DBIM), which utilizes the first-order Born approximation, is a productive diffraction tomography scheme. In this article, the range of interpolation applications is extended at the multilayer level, taking into account the advantages of integrating this multilayer level with multiple frequencies for the DBIM. Specifically, we consider: (a) a multi-resolution technique, i.e., a multi-step interpolation for the DBIM: MR-DBIM, with the advantage that the normalized absolute error is reduced by 18.67% and 37.21% in comparison with one-step interpolation DBIM and typical DBIM, respectively; (b) the integration of multi-resolution and multi-frequency techniques with the DBIM: MR-MF-DBIM, which is applied to image targets with high sound contrast in a strongly scattering medium. Relative to MR-DBIM, this integration offers a 44.01% reduction in the normalized absolute error.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 16