Nanodroplet-Based Super-Resolution Ultrasound Localization Microscopy
Journal article
Zhang, G., Liao, C., Hu, J., Hu, H., Lei, Y., Harput, S. and Ye, H. (2023). Nanodroplet-Based Super-Resolution Ultrasound Localization Microscopy. ACS Sensors. 8 (9), pp. 3294-3306. https://doi.org/10.1021/acssensors.3c00418
Authors | Zhang, G., Liao, C., Hu, J., Hu, H., Lei, Y., Harput, S. and Ye, H. |
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Abstract | Over the last decade, super-resolution ultrasound localization microscopy (SR-ULM) has revolutionized the ultrasound imaging with its capability to resolve the microvascular structures below the ultrasound diffraction limit. The introduction of this imaging technique enables the visualization, quantification, and characterization of tissue microvasculature. The early implementations of SR-ULM utilize microbubbles (MBs) that require long image acquisition time due to the requirement of capturing sparsely isolated microbubble signals. The next generation SR-ULM employs nanodroplets that have the potential to significantly reduce the image acquisition time without sacrificing the resolution. |
Keywords | Ultrasound, nanodroplets, microbubbles, super-resolution |
Year | 2023 |
Journal | ACS Sensors |
Journal citation | 8 (9), pp. 3294-3306 |
Publisher | American Chemical Society (ACS) |
ISSN | 2379-3694 |
Digital Object Identifier (DOI) | https://doi.org/10.1021/acssensors.3c00418 |
Web address (URL) | https://pubs.acs.org/journal/ascefj |
Publication dates | |
22 Aug 2023 | |
Publication process dates | |
Accepted | 11 Aug 2023 |
Deposited | 17 Aug 2023 |
Accepted author manuscript | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/94qzx
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