Evidence map›Paper›PMID 40572324›Full record

ArticleMicromachines2025

Research on Drive and Detection Technology of CMUT Multi-Array Transducers Based on MEMS Technology.

Chenyuan Li, Jiagen Chen, Chengwei Liu, Yao Xie, Yangyang Cui, Shiwang Zhang, Zhikang Li, Libo Zhao, Guoxing Chen, Shaochong Wei and 2 more

Abstract read
In one paragraph

Article in Micromachines, 2025. 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

12 authors.

Chenyuan LiCollege of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.
Jiagen ChenCollege of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.
Chengwei LiuSuzhou Thermal Power Research Institute Co., Ltd., Suzhou 215004, China.
Yao XieSuzhou Thermal Power Research Institute Co., Ltd., Suzhou 215004, China.
Yangyang CuiCollege of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.
Shiwang ZhangState Key Laboratory for Manufacturing Systems Engineering, State Industry-Education Integration Center for Medical Innovations, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Shaanxi Innovation Center for Special Sensing and Testing Technology in Extreme Environments, Shaanxi Provincial University Engineering Research Center for Micro/Nano Acoustic Devices and Intelligent Systems, Xi'an Jiaotong University, Xi'an 710049, China.
Zhikang LiState Key Laboratory for Manufacturing Systems Engineering, State Industry-Education Integration Center for Medical Innovations, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Shaanxi Innovation Center for Special Sensing and Testing Technology in Extreme Environments, Shaanxi Provincial University Engineering Research Center for Micro/Nano Acoustic Devices and Intelligent Systems, Xi'an Jiaotong University, Xi'an 710049, China.
Libo ZhaoState Key Laboratory for Manufacturing Systems Engineering, State Industry-Education Integration Center for Medical Innovations, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Shaanxi Innovation Center for Special Sensing and Testing Technology in Extreme Environments, Shaanxi Provincial University Engineering Research Center for Micro/Nano Acoustic Devices and Intelligent Systems, Xi'an Jiaotong University, Xi'an 710049, China.ORCID 0000-0001-6101-8173
Guoxing ChenSuzhou Thermal Power Research Institute Co., Ltd., Suzhou 215004, China.
Shaochong WeiSuzhou Thermal Power Research Institute Co., Ltd., Suzhou 215004, China.
Yu GaoCollege of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.
Linxi DongCollege of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.

Funding

Anhui Province Major Science and Technology Project "Key Technology Research on High Per-formance MEMS Transducers Chip for New Generation Ultrasound Diagnosis and Treatment" No. 2022e03020002National Key R&D Plan 2023YFB3209600the National Natural Science Foundation of China No. U1909221 and No. 61871167Zhejiang Provincial Talent Project 2021R52009
6 · The paper itself

Abstract

This paper presents an ultrasonic driving and detection system based on a CMUT array using MEMS technology. Among them, the core component CMUT array is composed of 8 × 8 CMUT array elements, and each CMUT array element contains 6 × 6 CMUT units. The collapse voltage of a single CMUT unit obtained through finite element analysis is 95.91 V, and the resonant frequency is 3.16 MHz. The driving section achieves 64-channel synchronous driving, with key parameters including an adjustable excitation signal frequency ranging from 10 kHz to 5.71 MHz, a delay precision of up to 1 ns, and an excitation duration of eight pulse cycles. For the echo reception, a two-stage amplification circuit for high-frequency weak echoes with 32 channels was designed, achieving a gain of 113.72 dB and -3 dB bandwidth of 3.89 MHz. Simultaneously, a 32-channel analog-to-digital conversion based on a self-calibration algorithm was implemented, with a sampling rate of 50 Mbps and a data width of 10 bits. Finally, the experimental results confirm the successful implementation of the driving system's designed functions, yielding a center frequency of 1.4995 MHz and a relative bandwidth of 127.9%@-6 dB for the CMUT operating in silicone oil. This paper successfully conducted the transmit-receive integrated experiment of the CMUT and applied Butterworth filtering to the echo data, resulting in high-quality ultrasonic echo signals that validate the applicability of the designed CMUT-based system for ultrasonic imaging.

Indexed as

capacitive micromachined ultrasonic transducer (CMUT)driving and detectionfinite element analysis (FEA)micro-electro-mechanical systems (MEMS)

Identifiers

PMID40572324
PMCPMC12194934

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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.