ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2021
Morphological Reconstruction Improves Microvessel Mapping in Super-Resolution Ultrasound.
Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- AI-Enhanced Super-Resolution Handheld Ultrasound for Carotid Plaque Detection in Community Screening.Annals of family medicine · 2026Article
- Deformable detection transformers for domain adaptable ultrasound localization microscopy with robustness to point spread function variations.Scientific reports · 2025Article
- Imaging of macrophage accumulation in solid tumors with ultrasound.Nature communications · 2025Article
- Microbubble Contrast Agents Improve Detection of Active Hemorrhage.IEEE open journal of engineering in medicine and biology · 2024Article
- Super-resolution of 2D ultrasound images and videos.Medical & biological engineering & computing · 2023Article
- Assessment of Transarterial Chemoembolization Using Super-resolution Ultrasound Imaging and a Rat Model of Hepatocellular Carcinoma.Ultrasound in medicine & biology · 2023Article
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Authors and funding
6 authors.
Funding
Abstract
Generation of super-resolution (SR) ultrasound (US) images, created from the successive localization of individual microbubbles in the circulation, has enabled the visualization of microvascular structure and flow at a level of detail that was not possible previously. Despite rapid progress, tradeoffs between spatial and temporal resolution may challenge the translation of this promising technology to the clinic. To temper these tradeoffs, we propose a method based on morphological image reconstruction. This method can extract from ultrafast contrast-enhanced US (CEUS) images hundreds of microbubble peaks per image (312-by-180 pixels) with intensity values varying by an order of magnitude. Specifically, it offers a fourfold increase in the number of peaks detected per frame, requires on the order of 100 ms for processing, and is robust to additive electronic noise (down to 3.6-dB CNR in CEUS images). By integrating this method to an SR framework, we demonstrate a sixfold improvement in spatial resolution, when compared with CEUS, in imaging chicken embryo microvessels. This method that is computationally efficient and, thus, scalable to large data sets may augment the abilities of SR-US in imaging microvascular structure and function.
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