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Dynamic Speed of Sound Adaptive Transmission–Reflection Ultrasound Computed Tomography
Ultrasound computed tomography (USCT) can visualize a target with multiple imaging contrasts, which were demonstrated individually previously. Here, to improve the imaging quality, the dynamic speed of sound (SoS) map derived from the transmission USCT will be adapted for the correction of the acous...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099082/ https://www.ncbi.nlm.nih.gov/pubmed/37050760 http://dx.doi.org/10.3390/s23073701 |
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author | Lin, Xiangwei Shi, Hongji Fu, Zhenyu Lin, Haoming Chen, Siping Chen, Xin Chen, Mian |
author_facet | Lin, Xiangwei Shi, Hongji Fu, Zhenyu Lin, Haoming Chen, Siping Chen, Xin Chen, Mian |
author_sort | Lin, Xiangwei |
collection | PubMed |
description | Ultrasound computed tomography (USCT) can visualize a target with multiple imaging contrasts, which were demonstrated individually previously. Here, to improve the imaging quality, the dynamic speed of sound (SoS) map derived from the transmission USCT will be adapted for the correction of the acoustic speed variation in the reflection USCT. The variable SoS map was firstly restored via the optimized simultaneous algebraic reconstruction technique with the time of flights selected from the transmitted ultrasonic signals. Then, the multi-stencils fast marching method was used to calculate the delay time from each element to the grids in the imaging field of view. Finally, the delay time in conventional constant-speed-assumed delay and sum (DAS) beamforming would be replaced by the practical computed delay time to achieve higher delay accuracy in the reflection USCT. The results from the numerical, phantom, and in vivo experiments show that our approach enables multi-modality imaging, accurate target localization, and precise boundary detection with the full-view fast imaging performance. The proposed method and its implementation are of great value for accurate, fast, and multi-modality USCT imaging, particularly suitable for highly acoustic heterogeneous medium. |
format | Online Article Text |
id | pubmed-10099082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100990822023-04-14 Dynamic Speed of Sound Adaptive Transmission–Reflection Ultrasound Computed Tomography Lin, Xiangwei Shi, Hongji Fu, Zhenyu Lin, Haoming Chen, Siping Chen, Xin Chen, Mian Sensors (Basel) Article Ultrasound computed tomography (USCT) can visualize a target with multiple imaging contrasts, which were demonstrated individually previously. Here, to improve the imaging quality, the dynamic speed of sound (SoS) map derived from the transmission USCT will be adapted for the correction of the acoustic speed variation in the reflection USCT. The variable SoS map was firstly restored via the optimized simultaneous algebraic reconstruction technique with the time of flights selected from the transmitted ultrasonic signals. Then, the multi-stencils fast marching method was used to calculate the delay time from each element to the grids in the imaging field of view. Finally, the delay time in conventional constant-speed-assumed delay and sum (DAS) beamforming would be replaced by the practical computed delay time to achieve higher delay accuracy in the reflection USCT. The results from the numerical, phantom, and in vivo experiments show that our approach enables multi-modality imaging, accurate target localization, and precise boundary detection with the full-view fast imaging performance. The proposed method and its implementation are of great value for accurate, fast, and multi-modality USCT imaging, particularly suitable for highly acoustic heterogeneous medium. MDPI 2023-04-03 /pmc/articles/PMC10099082/ /pubmed/37050760 http://dx.doi.org/10.3390/s23073701 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lin, Xiangwei Shi, Hongji Fu, Zhenyu Lin, Haoming Chen, Siping Chen, Xin Chen, Mian Dynamic Speed of Sound Adaptive Transmission–Reflection Ultrasound Computed Tomography |
title | Dynamic Speed of Sound Adaptive Transmission–Reflection Ultrasound Computed Tomography |
title_full | Dynamic Speed of Sound Adaptive Transmission–Reflection Ultrasound Computed Tomography |
title_fullStr | Dynamic Speed of Sound Adaptive Transmission–Reflection Ultrasound Computed Tomography |
title_full_unstemmed | Dynamic Speed of Sound Adaptive Transmission–Reflection Ultrasound Computed Tomography |
title_short | Dynamic Speed of Sound Adaptive Transmission–Reflection Ultrasound Computed Tomography |
title_sort | dynamic speed of sound adaptive transmission–reflection ultrasound computed tomography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099082/ https://www.ncbi.nlm.nih.gov/pubmed/37050760 http://dx.doi.org/10.3390/s23073701 |
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