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Improved Ultrasound Localization Microscopy Based on Microbubble Uncoupling via Transmit Excitation
Ultrasound localization microscopy (ULM) demonstrates great potential for visualization of tissue microvasculature at depth with high spatial resolution. The success of ULM heavily depends on robust localization of isolated microbubbles (MBs), which can be challenging in vivo especially within large...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8940524/ https://www.ncbi.nlm.nih.gov/pubmed/35041599 http://dx.doi.org/10.1109/TUFFC.2022.3143864 |
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author | Kim, Jihun Lowerison, Mathew R. Sekaran, Nathiya V. Chandra Kou, Zhengchang Dong, Zhijie Oelze, Michael L. Llano, Daniel A. Song, Pengfei |
author_facet | Kim, Jihun Lowerison, Mathew R. Sekaran, Nathiya V. Chandra Kou, Zhengchang Dong, Zhijie Oelze, Michael L. Llano, Daniel A. Song, Pengfei |
author_sort | Kim, Jihun |
collection | PubMed |
description | Ultrasound localization microscopy (ULM) demonstrates great potential for visualization of tissue microvasculature at depth with high spatial resolution. The success of ULM heavily depends on robust localization of isolated microbubbles (MBs), which can be challenging in vivo especially within larger vessels where MBs can overlap and cluster close together. While MB dilution alleviates the issue of MB overlap to a certain extent, it drastically increases the data acquisition time needed for MBs to populate the microvasculature, which is already on the order of several minutes using recommended MB concentrations. Inspired by optical super-resolution imaging based on stimulated emission depletion (STED), here we propose a novel ULM imaging sequence based on MB uncoupling via transmit excitation (MUTE). MUTE “silences” MB signals by creating acoustic nulls to facilitate MB separation, which leads to robust localization of MBs especially under high concentrations. The efficiency of localization accomplished via the proposed technique was first evaluated in simulation studies with conventional ULM as a benchmark. Then, an in-vivo study based on the chorioallantoic membrane (CAM) of chicken embryos showed that MUTE could reduce the data acquisition time by half, thanks to the enhanced MB separation and localization. Finally, the performance of MUTE was validated in an in vivo mouse brain study. These results demonstrate the high MB localization efficacy of MUTE-ULM, which contributes to a reduced data acquisition time and improved temporal resolution for ULM. |
format | Online Article Text |
id | pubmed-8940524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-89405242022-03-22 Improved Ultrasound Localization Microscopy Based on Microbubble Uncoupling via Transmit Excitation Kim, Jihun Lowerison, Mathew R. Sekaran, Nathiya V. Chandra Kou, Zhengchang Dong, Zhijie Oelze, Michael L. Llano, Daniel A. Song, Pengfei IEEE Trans Ultrason Ferroelectr Freq Control Article Ultrasound localization microscopy (ULM) demonstrates great potential for visualization of tissue microvasculature at depth with high spatial resolution. The success of ULM heavily depends on robust localization of isolated microbubbles (MBs), which can be challenging in vivo especially within larger vessels where MBs can overlap and cluster close together. While MB dilution alleviates the issue of MB overlap to a certain extent, it drastically increases the data acquisition time needed for MBs to populate the microvasculature, which is already on the order of several minutes using recommended MB concentrations. Inspired by optical super-resolution imaging based on stimulated emission depletion (STED), here we propose a novel ULM imaging sequence based on MB uncoupling via transmit excitation (MUTE). MUTE “silences” MB signals by creating acoustic nulls to facilitate MB separation, which leads to robust localization of MBs especially under high concentrations. The efficiency of localization accomplished via the proposed technique was first evaluated in simulation studies with conventional ULM as a benchmark. Then, an in-vivo study based on the chorioallantoic membrane (CAM) of chicken embryos showed that MUTE could reduce the data acquisition time by half, thanks to the enhanced MB separation and localization. Finally, the performance of MUTE was validated in an in vivo mouse brain study. These results demonstrate the high MB localization efficacy of MUTE-ULM, which contributes to a reduced data acquisition time and improved temporal resolution for ULM. 2022-03 2022-03-02 /pmc/articles/PMC8940524/ /pubmed/35041599 http://dx.doi.org/10.1109/TUFFC.2022.3143864 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kim, Jihun Lowerison, Mathew R. Sekaran, Nathiya V. Chandra Kou, Zhengchang Dong, Zhijie Oelze, Michael L. Llano, Daniel A. Song, Pengfei Improved Ultrasound Localization Microscopy Based on Microbubble Uncoupling via Transmit Excitation |
title | Improved Ultrasound Localization Microscopy Based on Microbubble Uncoupling via Transmit Excitation |
title_full | Improved Ultrasound Localization Microscopy Based on Microbubble Uncoupling via Transmit Excitation |
title_fullStr | Improved Ultrasound Localization Microscopy Based on Microbubble Uncoupling via Transmit Excitation |
title_full_unstemmed | Improved Ultrasound Localization Microscopy Based on Microbubble Uncoupling via Transmit Excitation |
title_short | Improved Ultrasound Localization Microscopy Based on Microbubble Uncoupling via Transmit Excitation |
title_sort | improved ultrasound localization microscopy based on microbubble uncoupling via transmit excitation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8940524/ https://www.ncbi.nlm.nih.gov/pubmed/35041599 http://dx.doi.org/10.1109/TUFFC.2022.3143864 |
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