Evidence map›Paper›PMID 40369246›Full record

ArticleCommunications engineering2025

Enhanced ultrasound particle image velocimetry (E-uPIV) enables fast flow mapping of microvasculature.

Jingyi Yin, Jiabin Zhang, Dongdong Liang, Daichao Chen, Jue Zhang

Abstract read
In one paragraph

Article in Communications engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jingyi Yin *Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, P.R. China.
Jiabin Zhang *College of Future Technology, Peking University, Beijing, P.R. China. zhangjiabin2024@nanoctr.cn.
Dongdong LiangAcademy for Advanced Interdisciplinary Studies, Peking University, Beijing, P.R. China.
Daichao ChenAcademy for Advanced Interdisciplinary Studies, Peking University, Beijing, P.R. China.
Jue ZhangAcademy for Advanced Interdisciplinary Studies, Peking University, Beijing, P.R. China. zhangjue@pku.edu.cn.ORCID http://orcid.org/0000-0003-0440-1357

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasound particle image velocimetry (uPIV) has emerged as a widely-used tool for measuring blood flow fields with higher sensitivity and accuracy. However, its clinical application in assessing microvessel-related diseases is hindered by the diffraction limit. While ultrasound localization microscopy achieves super-resolution imaging of deep tissue microvessels, it lacks the capability for rapid imaging of blood flow dynamics. To overcome the challenges in measuring blood flows beyond the diffraction limit, we integrated the strengths of super-resolution ultrasound and uPIV strategies, proposing an approach termed enhanced ultrasound particle image velocimetry (E-uPIV). By the reconstruction of high-resolution microbubble trajectory images and subsequent speckle tracking, E-uPIV accurately maps microvascular structures and dynamically assesses microflow characteristics, eliminating the need of microbubble localization. This approach presents a perspective tool for non-invasively imaging dynamic microflows.

Identifiers

PMID40369246
PMCPMC12078520

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Registered trials

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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.