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3-D Super-Resolution Ultrasound Imaging With a 2-D Sparse Array
High-frame-rate 3-D ultrasound imaging technology combined with super-resolution processing method can visualize 3-D microvascular structures by overcoming the diffraction-limited resolution in every spatial direction. However, 3-D super-resolution ultrasound imaging using a full 2-D array requires...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614008/ https://www.ncbi.nlm.nih.gov/pubmed/31562080 http://dx.doi.org/10.1109/TUFFC.2019.2943646 |
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author | Harput, Sevan Christensen-Jeffries, Kirsten Ramalli, Alessandro Brown, Jemma Zhu, Jiaqi Zhang, Ge Leow, Chee Hau Toulemonde, Matthieu Boni, Enrico Tortoli, Piero Eckersley, Robert J. Dunsby, Chris Tang, Meng-Xing |
author_facet | Harput, Sevan Christensen-Jeffries, Kirsten Ramalli, Alessandro Brown, Jemma Zhu, Jiaqi Zhang, Ge Leow, Chee Hau Toulemonde, Matthieu Boni, Enrico Tortoli, Piero Eckersley, Robert J. Dunsby, Chris Tang, Meng-Xing |
author_sort | Harput, Sevan |
collection | PubMed |
description | High-frame-rate 3-D ultrasound imaging technology combined with super-resolution processing method can visualize 3-D microvascular structures by overcoming the diffraction-limited resolution in every spatial direction. However, 3-D super-resolution ultrasound imaging using a full 2-D array requires a system with a large number of independent channels, the design of which might be impractical due to the high cost, complexity, and volume of data produced. In this study, a 2-D sparse array was designed and fabricated with 512 elements chosen from a density-tapered 2-D spiral layout. High-frame-rate volumetric imaging was performed using two synchronized ULA-OP 256 research scanners. Volumetric images were constructed by coherently compounding nine-angle plane waves acquired at a pulse repetition frequency of 4500 Hz. Localization-based 3D super-resolution images of two touching subwavelength tubes were generated from 6000 volumes acquired in 12 s. Finally, this work demonstrates the feasibility of 3-D super resolution imaging and super-resolved velocity mapping using a customized 2-D sparse array transducer. |
format | Online Article Text |
id | pubmed-7614008 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-76140082023-01-03 3-D Super-Resolution Ultrasound Imaging With a 2-D Sparse Array Harput, Sevan Christensen-Jeffries, Kirsten Ramalli, Alessandro Brown, Jemma Zhu, Jiaqi Zhang, Ge Leow, Chee Hau Toulemonde, Matthieu Boni, Enrico Tortoli, Piero Eckersley, Robert J. Dunsby, Chris Tang, Meng-Xing IEEE Trans Ultrason Ferroelectr Freq Control Article High-frame-rate 3-D ultrasound imaging technology combined with super-resolution processing method can visualize 3-D microvascular structures by overcoming the diffraction-limited resolution in every spatial direction. However, 3-D super-resolution ultrasound imaging using a full 2-D array requires a system with a large number of independent channels, the design of which might be impractical due to the high cost, complexity, and volume of data produced. In this study, a 2-D sparse array was designed and fabricated with 512 elements chosen from a density-tapered 2-D spiral layout. High-frame-rate volumetric imaging was performed using two synchronized ULA-OP 256 research scanners. Volumetric images were constructed by coherently compounding nine-angle plane waves acquired at a pulse repetition frequency of 4500 Hz. Localization-based 3D super-resolution images of two touching subwavelength tubes were generated from 6000 volumes acquired in 12 s. Finally, this work demonstrates the feasibility of 3-D super resolution imaging and super-resolved velocity mapping using a customized 2-D sparse array transducer. 2020-02-01 2019-09-25 /pmc/articles/PMC7614008/ /pubmed/31562080 http://dx.doi.org/10.1109/TUFFC.2019.2943646 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license. |
spellingShingle | Article Harput, Sevan Christensen-Jeffries, Kirsten Ramalli, Alessandro Brown, Jemma Zhu, Jiaqi Zhang, Ge Leow, Chee Hau Toulemonde, Matthieu Boni, Enrico Tortoli, Piero Eckersley, Robert J. Dunsby, Chris Tang, Meng-Xing 3-D Super-Resolution Ultrasound Imaging With a 2-D Sparse Array |
title | 3-D Super-Resolution Ultrasound Imaging With a 2-D Sparse Array |
title_full | 3-D Super-Resolution Ultrasound Imaging With a 2-D Sparse Array |
title_fullStr | 3-D Super-Resolution Ultrasound Imaging With a 2-D Sparse Array |
title_full_unstemmed | 3-D Super-Resolution Ultrasound Imaging With a 2-D Sparse Array |
title_short | 3-D Super-Resolution Ultrasound Imaging With a 2-D Sparse Array |
title_sort | 3-d super-resolution ultrasound imaging with a 2-d sparse array |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614008/ https://www.ncbi.nlm.nih.gov/pubmed/31562080 http://dx.doi.org/10.1109/TUFFC.2019.2943646 |
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