ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2022
Improved Ultrasound Localization Microscopy Based on Microbubble Uncoupling via Transmit Excitation.
Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Ultrasound flow imaging for assessing cerebrovascular changes following focused-ultrasound blood-brain barrier opening.Theranostics · 2025Article
- High-Resolution Power Doppler Using Null Subtraction Imaging.IEEE transactions on medical imaging · 2024Article
- Context-aware deep learning enables high-efficacy localization of high concentration microbubbles for super-resolution ultrasound localization microscopy.Nature communications · 2024Article
- Contrast-Free Super-Resolution Power Doppler (CS-PD) Based on Deep Neural Networks.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2023Article
- Super-resolution ultrasound microvascular imaging: Is it ready for clinical use?Zeitschrift fur medizinische Physik · 2023Review
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Authors and funding
8 authors.
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Abstract
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.
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