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Zhang Y, Jin T, Deng Y, Zhao Z, Wang R, He Q, Luo J, Li J, Du K, Wu T, Yan C, Zhang H, Lu X, Huang C, Gao H. A low-voltage-driven MEMS ultrasonic phased-array transducer for fast 3D volumetric imaging. MICROSYSTEMS & NANOENGINEERING 2024; 10:128. [PMID: 39261463 PMCID: PMC11391059 DOI: 10.1038/s41378-024-00755-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 05/27/2024] [Accepted: 06/18/2024] [Indexed: 09/13/2024]
Abstract
Wearable ultrasound imaging technology has become an emerging modality for the continuous monitoring of deep-tissue physiology, providing crucial health and disease information. Fast volumetric imaging that can provide a full spatiotemporal view of intrinsic 3D targets is desirable for interpreting internal organ dynamics. However, existing 1D ultrasound transducer arrays provide 2D images, making it challenging to overcome the trade-off between the temporal resolution and volumetric coverage. In addition, the high driving voltage limits their implementation in wearable settings. With the use of microelectromechanical system (MEMS) technology, we report an ultrasonic phased-array transducer, i.e., a 2D piezoelectric micromachined ultrasound transducer (pMUT) array, which is driven by a low voltage and is chip-compatible for fast 3D volumetric imaging. By grouping multiple pMUT cells into one single drive channel/element, we propose an innovative cell-element-array design and operation of a pMUT array that can be used to quantitatively characterize the key coupling effects between each pMUT cell, allowing 3D imaging with 5-V actuation. The pMUT array demonstrates fast volumetric imaging covering a range of 40 mm × 40 mm × 70 mm in wire phantom and vascular phantom experiments, achieving a high temporal frame rate of 11 kHz. The proposed solution offers a full volumetric view of deep-tissue disorders in a fast manner, paving the way for long-term wearable imaging technology for various organs in deep tissues.
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Affiliation(s)
- Yun Zhang
- Institute of Microelectronics of the Chinese Academy of Sciences, 100029, Beijing, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Tong Jin
- Institute of Microelectronics of the Chinese Academy of Sciences, 100029, Beijing, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Yining Deng
- Institute of Microelectronics of the Chinese Academy of Sciences, 100029, Beijing, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Zijie Zhao
- Institute of Microelectronics of the Chinese Academy of Sciences, 100029, Beijing, China.
| | - Rui Wang
- School of Biomedical Engineering, Tsinghua University, 100084, Beijing, China
| | - Qiong He
- School of Biomedical Engineering, Tsinghua University, 100084, Beijing, China
| | - Jianwen Luo
- School of Biomedical Engineering, Tsinghua University, 100084, Beijing, China
| | - Jiawei Li
- School of Information Science and Technology, ShanghaiTech University, 201210, Shanghai, China
| | - Kang Du
- School of Information Science and Technology, ShanghaiTech University, 201210, Shanghai, China
| | - Tao Wu
- School of Information Science and Technology, ShanghaiTech University, 201210, Shanghai, China
| | - Chenfang Yan
- Institute of Microelectronics of the Chinese Academy of Sciences, 100029, Beijing, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Hao Zhang
- Institute of Microelectronics of the Chinese Academy of Sciences, 100029, Beijing, China
| | - Xinchao Lu
- Institute of Microelectronics of the Chinese Academy of Sciences, 100029, Beijing, China
| | - Chengjun Huang
- Institute of Microelectronics of the Chinese Academy of Sciences, 100029, Beijing, China.
- University of Chinese Academy of Sciences, 100049, Beijing, China.
| | - Hang Gao
- Institute of Microelectronics of the Chinese Academy of Sciences, 100029, Beijing, China.
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