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Interpolated hybrid DBIM approach for enhanced imaging in ultrasound tomography

Interpolated hybrid DBIM approach for enhanced imaging in ultrasound tomography PurposeIn ultrasound tomography (UT), Born iterative method (BIM) and distorted-Born iterative method (DBIM) based on Born approximation are considered efficacious. DBIM offers faster convergence compared to BIM; however, it is more susceptible to noise and vice versa. Combined or multi-model imaging is an indispensable trend of modern imaging to detect and accurately assess tissue states. The proposed method exploits the advantages, limiting the disadvantages and increasing the imaging speed of the merging of BIM and DBIM.MethodsThe combination of BIM and DBIM is proposed to increase UT reconstruction quality. This promising approach aims to maintain good convergence while still being robust to noise. Furthermore, we suggest using the interpolation technique sandwiched between BIM and DBIM (named hybrid DBIM) to enhance imaging speed and reduce computational complexity.ResultsDifferent numerical simulation scenarios were performed to prove this method’s reliability. The proposed hybrid DBIM method offers significantly better performance with a 47.4% drop in normalized error, a 13% decrease in time consumption, and reduced calculations of 18% compared to the conventional DBIM method.ConclusionsUT is a promising quantitative imaging technique because it offers a more sophisticated imaging method than conventional B-mode due to its inverse scattering information basis rather than B-mode’s ultrasound feedback. Enhanced image recovery quality and accelerated imaging time are obtained by using the hybrid DBIM. Thanks to the usage of empirical data, this work will be further developed prior to its application in reality. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Research on Biomedical Engineering Springer Journals

Interpolated hybrid DBIM approach for enhanced imaging in ultrasound tomography

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References (30)

Publisher
Springer Journals
Copyright
Copyright © Sociedade Brasileira de Engenharia Biomedica 2021
ISSN
2446-4732
eISSN
2446-4740
DOI
10.1007/s42600-021-00192-x
Publisher site
See Article on Publisher Site

Abstract

PurposeIn ultrasound tomography (UT), Born iterative method (BIM) and distorted-Born iterative method (DBIM) based on Born approximation are considered efficacious. DBIM offers faster convergence compared to BIM; however, it is more susceptible to noise and vice versa. Combined or multi-model imaging is an indispensable trend of modern imaging to detect and accurately assess tissue states. The proposed method exploits the advantages, limiting the disadvantages and increasing the imaging speed of the merging of BIM and DBIM.MethodsThe combination of BIM and DBIM is proposed to increase UT reconstruction quality. This promising approach aims to maintain good convergence while still being robust to noise. Furthermore, we suggest using the interpolation technique sandwiched between BIM and DBIM (named hybrid DBIM) to enhance imaging speed and reduce computational complexity.ResultsDifferent numerical simulation scenarios were performed to prove this method’s reliability. The proposed hybrid DBIM method offers significantly better performance with a 47.4% drop in normalized error, a 13% decrease in time consumption, and reduced calculations of 18% compared to the conventional DBIM method.ConclusionsUT is a promising quantitative imaging technique because it offers a more sophisticated imaging method than conventional B-mode due to its inverse scattering information basis rather than B-mode’s ultrasound feedback. Enhanced image recovery quality and accelerated imaging time are obtained by using the hybrid DBIM. Thanks to the usage of empirical data, this work will be further developed prior to its application in reality.

Journal

Research on Biomedical Engineering – Springer Journals

Published: Jun 1, 2022

Keywords: Inverse scattering; Distorted-Born iterative method (DBIM); Born iterative method (BIM); Interpolation; B-mode

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