Evidence map›Paper›PMID 33126557›Full record

ArticleSensors (Basel, Switzerland)2020

An Integrated Front-end Circuit Board for Air-Coupled CMUT Burst-Echo Imaging.

Lei Ye, Jian Li, Hui Zhang, Dongmei Liang, Zhuochen Wang

Abstract readLetter
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. 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. 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.

Lei YeState Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, China.ORCID 0000-0001-6761-5251
Jian LiState Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, China.
Hui ZhangState Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, China.
Dongmei LiangState Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, China.ORCID 0000-0002-6765-3722
Zhuochen WangState Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, China.ORCID 0000-0002-8116-6090

Funding

the National Natural Science Foundation of China 61771337the National Natural Science Foundation of China 61801324the Natural Science Foundation of Tianjin 18JCYBJC40400the Natural Science Foundation of Tianjin 19YFZCSY00190
6 · The paper itself

Abstract

To conduct burst-echo imaging with air-coupled capacitive micromachined ultrasonic transducers (CMUTs) using the same elements in transmission and reception, this work proposes a dedicated and integrated front-end circuit board design to build an imaging system. To the best of the authors' knowledge, this is the first air-coupled CMUT burst-echo imaging using the same elements in transmission and reception. The reported front-end circuit board, controlled by field programmable gate array (FPGA), consisted of four parts: an on-board pulser, a bias-tee, a T/R switch and an amplifier. Working with our 217 kHz 16-element air-coupled CMUT array under 100 V DC bias, the front-end circuit board and imaging system could achieve 22.94 dB signal-to-noise ratio (SNR) in burst-echo imaging in air, which could represent the surface morphology and the three-dimensional form factor of the target. In addition, the burst-echo imaging range of our air-coupled CMUT imaging system, which could work between 52 and 273 mm, was discussed. This work suggests good potential for ultrasound imaging and gesture recognition applications.

Indexed as

air-coupled CMUTburst-echo imagingfront-end circuitimaging system

Identifiers

PMID33126557
PMCPMC7662985

What OpenQuestion holds

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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.