Evidence map›Paper›PMID 37050760›Full record

ArticleSensors (Basel, Switzerland)2023

Dynamic Speed of Sound Adaptive Transmission-Reflection Ultrasound Computed Tomography.

Xiangwei Lin, Hongji Shi, Zhenyu Fu, Haoming Lin, Siping Chen, Xin Chen, Mian Chen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Xiangwei LinSchool of Biomedical Engineering, Shenzhen University, Nanshan District, Shenzhen 518057, China.ORCID 0000-0002-7615-073X
Hongji ShiSchool of Biomedical Engineering, Shenzhen University, Nanshan District, Shenzhen 518057, China.
Zhenyu FuSchool of Biomedical Engineering, Shenzhen University, Nanshan District, Shenzhen 518057, China.
Haoming LinSchool of Biomedical Engineering, Shenzhen University, Nanshan District, Shenzhen 518057, China.
Siping ChenSchool of Biomedical Engineering, Shenzhen University, Nanshan District, Shenzhen 518057, China.
Xin ChenSchool of Biomedical Engineering, Shenzhen University, Nanshan District, Shenzhen 518057, China.ORCID 0000-0002-5406-4136
Mian ChenSchool of Biomedical Engineering, Shenzhen University, Nanshan District, Shenzhen 518057, China.

Funding

National Natural Science Foundation of China 62101337, 81971637, 62071310, and 81871429.
6 · The paper itself

Abstract

Ultrasound computed tomography (USCT) can visualize a target with multiple imaging contrasts, which were demonstrated individually previously. Here, to improve the imaging quality, the dynamic speed of sound (SoS) map derived from the transmission USCT will be adapted for the correction of the acoustic speed variation in the reflection USCT. The variable SoS map was firstly restored via the optimized simultaneous algebraic reconstruction technique with the time of flights selected from the transmitted ultrasonic signals. Then, the multi-stencils fast marching method was used to calculate the delay time from each element to the grids in the imaging field of view. Finally, the delay time in conventional constant-speed-assumed delay and sum (DAS) beamforming would be replaced by the practical computed delay time to achieve higher delay accuracy in the reflection USCT. The results from the numerical, phantom, and in vivo experiments show that our approach enables multi-modality imaging, accurate target localization, and precise boundary detection with the full-view fast imaging performance. The proposed method and its implementation are of great value for accurate, fast, and multi-modality USCT imaging, particularly suitable for highly acoustic heterogeneous medium.

Indexed as

quantitative speed of soundsimultaneous algebraic reconstruction techniqueSoS adaptive DAS beamformingultrasound computed tomography

Identifiers

PMID37050760
PMCPMC10099082

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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.