Evidence map›Paper›PMID 39031549›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Ultrasound Speckle Decorrelation Analysis-Based Velocimetry for 3D-Velocity-Components Measurement Using a 1D Transducer Array.

Yongchao Wang, Yetao He, Wenkai Chen, Jiyong Tan, Jianbo Tang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Yongchao WangDepartment of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, ShenZhen, Guangdong, 518055, China.
Yetao HeDepartment of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, ShenZhen, Guangdong, 518055, China.
Wenkai ChenDepartment of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, ShenZhen, Guangdong, 518055, China.
Jiyong TanDepartment of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, ShenZhen, Guangdong, 518055, China.
Jianbo TangDepartment of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, ShenZhen, Guangdong, 518055, China.ORCID 0000-0001-6532-8283

Funding

Guangdong Provincial Key Laboratory of Advanced Biomaterials 2022B1212010003Guangdong Science and Technology Department 2021QN02Y274Guangdong Science and Technology Department 2022A1515011984Ministry of Science and Technology of the People's Republic of China 2023YFEO209600National Natural Science Foundation of China 62220106006National Natural Science Foundation of China 62275116Shenzhen Science and Technology Innovation Committee JCYJ20210324104208023Shenzhen Science and Technology Innovation Committee JSGGKQTD20221103174704003Shenzhen Science and Technology Innovation Committee SGDX202301160916 45005
6 · The paper itself

Abstract

Ultrasound velocimetry has been widely used for blood flow imaging. However, the flow measurements are constrained to resolve the in-plane 2D flow components when using a 1D transducer array. In this work, an ultrasound speckle decorrelation analysis-based velocimetry (3C-vUS) is proposed for 3D velocity components measurement using a 1D transducer array. The 3C-vUS theory is first derived and validated with numerical simulations and phantom experiments. The in vivo testing results show that 3C-vUS can accurately measure the blood flow 3D-velocity-components of the human carotid artery at arbitrary probe-to-vessel angles throughout the cardiac cycle. With such capability, the 3C-vUS will alleviate the requirement of operators and promote disease screening for blood flow-related disorders.

Indexed as

Carotid ArteriesImaging, Three-DimensionalPhantoms, ImagingRheologyTransducersUltrasonographyBlood Flow VelocityHumans3D‐velocity‐componentsblood flow imagingdynamic analysisultrasound velocimetry

Identifiers

PMID39031549
PMCPMC11348193

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.