Evidence map›Paper›PMID 30674326›Full record

ArticleBiomedical engineering online2019

Plane wave imaging combined with eigenspace-based minimum variance beamforming using a ring array in ultrasound computed tomography.

Xinming Jiang, Yang Xiao, Yuanyuan Wang, Jinhua Yu, Hairong Zheng

Abstract read
In one paragraph

Article in Biomedical engineering online, 2019. 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

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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

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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. 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.

Xinming JiangDepartment of Electronic Engineering, Fudan University, Shanghai, China.
Yang XiaoShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Yuanyuan WangDepartment of Electronic Engineering, Fudan University, Shanghai, China. yywang@fudan.edu.cn.
Jinhua YuDepartment of Electronic Engineering, Fudan University, Shanghai, China.
Hairong ZhengShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

Funding

National Natural Science Foundation of China 11774370National Natural Science Foundation of China 61471125National Natural Science Foundation of China 61771143
6 · The paper itself

Abstract

backgroundUltrasound computed tomography (USCT) is usually realized with a ring array. It can provide better imaging performance and more tissue information by emitting and receiving the ultrasound signal in different directions simultaneously. However, USCT imaging is usually applied with the synthetic aperture (SA) emission method, which leads to a long scanning time with a large number of elements on the ring array. The echo image can provide the structural information, and has a higher resolution than maps of other parameters in USCT. Hence, we proposed plane wave (PW) imaging for ring array to acquire the echo wave and reduce the scanning time considerably.

resultsIn this paper, an emitting and receiving process was proposed to realize plane wave imaging with a ring array. With the proposed scanning method, the number of emission events can be reduced greatly. A beamforming method based on the eigenspace-based minimum variance (ESBMV) was also combined with the scanning method. With ESBMV beamformer, the resolution and contrast ratio of reconstruction result can be maintained or even improved under a fewer-emissions condition. We validated the method using both computer simulations with Field II and phantom experiments with a ring array of 512 elements. The Verasonics

conclusionsAccording to the results of the experiments, the imaging results will have a better contrast ratio with a higher emitting energy. Additionally, the scanning time with the proposed method can be only one-tenth of that with the SA emission method, while the echo imaging performance still remains at a similar level or even better.

Indexed as

Tomography, X-Ray ComputedUltrasonographyAlgorithmsComputer SimulationHumansImage EnhancementImage Processing, Computer-AssistedModels, StatisticalPhantoms, ImagingSignal Processing, Computer-AssistedEcho imageEigenspace-based minimum variance beamformingPlane waveTime-savingUltrasound computed tomography

Identifiers

PMID30674326
PMCPMC6343295

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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.