ArticleIEEE transactions on medical imaging2022
Super-Resolution Ultrasound Through Sparsity-Based Deconvolution and Multi-Feature Tracking.
Article in IEEE transactions on medical imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 73 citations in OpenAlex.
- Ultrasound localisation microscopy tracks testicular microvascular adaptations to endocrine function in male infertility.EBioMedicine · 2026Article
- Human lymph node microvascular imaging using a fast contrast-free super-resolution ultrasound technique.Scientific reports · 2025Article
- Differentiation of benign and malignant breast lesions by ultrasound localization microscopy.Insights into imaging · 2025Article
- Application of Ultrasound Localization Microscopy in Evaluating the Type 2 Diabetes Progression.Cyborg and bionic systems (Washington, D.C.) · 2025Article
- Comparison of high-frequency ultrasound transducers for microvascular localization microscopy in the mouse brain.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Evaluation of tumor microvasculature with 3D ultrasound localization microscopy based on 2D matrix array.European radiology · 2024Article
- Research into super-resolution in medical imaging from 2000 to 2023: bibliometric analysis and visualization.Quantitative imaging in medicine and surgery · 2024Article
- Transthoracic ultrasound localization microscopy of myocardial vasculature in patients.Nature biomedical engineering · 2024Article
- Non-invasive ultrasound localization microscopy (ULM) in azoospermia: connecting testicular microcirculation to spermatogenic functions.Theranostics · 2024Article
- Acceleration-Based Kalman Tracking for Super-Resolution Ultrasound Imaging In Vivo.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2023Article
- Fast 3D Super-Resolution Ultrasound With Adaptive Weight-Based Beamforming.IEEE transactions on bio-medical engineering · 2023Article
- Ultrasound localization microscopy.Zeitschrift fur medizinische Physik · 2023Review
- The Emergence of Functional Ultrasound for Noninvasive Brain-Computer Interface.Research (Washington, D.C.) · 2023Review
- Integrated Ultrasound Localization Microscopy and Multi-Omics for Mechanism-Driven Stratification of Azoospermia.American journal of men's healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
Ultrasound super-resolution imaging through localisation and tracking of microbubbles can achieve sub-wave-diffraction resolution in mapping both micro-vascular structure and flow dynamics in deep tissue in vivo. Currently, it is still challenging to achieve high accuracy in localisation and tracking particularly with limited imaging frame rates and in the presence of high bubble concentrations. This study introduces microbubble image features into a Kalman tracking framework, and makes the framework compatible with sparsity-based deconvolution to address these key challenges. The performance of the method is evaluated on both simulations using individual bubble signals segmented from in vivo data and experiments on a mouse brain and a human lymph node. The simulation results show that the deconvolution not only significantly improves the accuracy of isolating overlapping bubbles, but also preserves some image features of the bubbles. The combination of such features with Kalman motion model can achieve a significant improvement in tracking precision at a low frame rate over that using the distance measure, while the improvement is not significant at the highest frame rate. The in vivo results show that the proposed framework generates SR images that are significantly different from the current methods with visual improvement, and is more robust to high bubble concentrations and low frame rates.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.