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

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 rece...

Full description

Bibliographic Details
Main Authors: Luong Thi Theu, Tran Quang-Huy, Tran Duc-Nghia, Vijender Kumar Solanki, Tran Duc-Tan, João Manuel R. S. Tavares
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/11/19/3203
_version_ 1797479735909941248
author Luong Thi Theu
Tran Quang-Huy
Tran Duc-Nghia
Vijender Kumar Solanki
Tran Duc-Tan
João Manuel R. S. Tavares
author_facet Luong Thi Theu
Tran Quang-Huy
Tran Duc-Nghia
Vijender Kumar Solanki
Tran Duc-Tan
João Manuel R. S. Tavares
author_sort Luong Thi Theu
collection DOAJ
description 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.
first_indexed 2024-03-09T21:51:05Z
format Article
id doaj.art-a0c12ace9d084a28ae5ec6815c75bff9
institution Directory Open Access Journal
issn 2079-9292
language English
last_indexed 2024-03-09T21:51:05Z
publishDate 2022-10-01
publisher MDPI AG
record_format Article
series Electronics
spelling doaj.art-a0c12ace9d084a28ae5ec6815c75bff92023-11-23T20:08:03ZengMDPI AGElectronics2079-92922022-10-011119320310.3390/electronics11193203High Sound-Contrast Inverse Scattering by MR-MF-DBIM SchemeLuong Thi Theu0Tran Quang-Huy1Tran Duc-Nghia2Vijender Kumar Solanki3Tran Duc-Tan4João Manuel R. S. Tavares5Institute of Applied Technology, Thu Dau Mot University, Binh Duong 820000, VietnamFaculty of Physics, Hanoi Pedagogical University 2, Hanoi 100000, VietnamInstitute of Information Technology, Vietnam Academy of Science and Technology, Hanoi 100000, VietnamCMR Institute of Technology, Hyderabad, Telangana 501401, IndiaFaculty of Electrical and Electronic Engineering, Phenikaa University, Hanoi 12116, VietnamInstituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, 4200-465 Porto, PortugalIn 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.https://www.mdpi.com/2079-9292/11/19/3203ultrasound tomographydistorted Born iterative methodmulti-resolutionmulti-frequency
spellingShingle Luong Thi Theu
Tran Quang-Huy
Tran Duc-Nghia
Vijender Kumar Solanki
Tran Duc-Tan
João Manuel R. S. Tavares
High Sound-Contrast Inverse Scattering by MR-MF-DBIM Scheme
Electronics
ultrasound tomography
distorted Born iterative method
multi-resolution
multi-frequency
title High Sound-Contrast Inverse Scattering by MR-MF-DBIM Scheme
title_full High Sound-Contrast Inverse Scattering by MR-MF-DBIM Scheme
title_fullStr High Sound-Contrast Inverse Scattering by MR-MF-DBIM Scheme
title_full_unstemmed High Sound-Contrast Inverse Scattering by MR-MF-DBIM Scheme
title_short High Sound-Contrast Inverse Scattering by MR-MF-DBIM Scheme
title_sort high sound contrast inverse scattering by mr mf dbim scheme
topic ultrasound tomography
distorted Born iterative method
multi-resolution
multi-frequency
url https://www.mdpi.com/2079-9292/11/19/3203
work_keys_str_mv AT luongthitheu highsoundcontrastinversescatteringbymrmfdbimscheme
AT tranquanghuy highsoundcontrastinversescatteringbymrmfdbimscheme
AT tranducnghia highsoundcontrastinversescatteringbymrmfdbimscheme
AT vijenderkumarsolanki highsoundcontrastinversescatteringbymrmfdbimscheme
AT tranductan highsoundcontrastinversescatteringbymrmfdbimscheme
AT joaomanuelrstavares highsoundcontrastinversescatteringbymrmfdbimscheme