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Shuai Na
Life Sciences / Medical / Biology
Peking University
Beijing
Language: English, Chinese
Photoacoustic Imaging
Ultrasound Imaging
Medical Imaging
Clinical Application
High-Sensitivity Transducers
Image Reconstruction Algorithms
Multimodal Imaging
Brain Function Imaging
Functional Imaging
Biomedical Optics
Areas of Focus
- Photoacoustic and ultrasound medical imaging technology development and clinical application
Work Experience
- 2017.11–2022.2 - California Institute of Technology - Postdoctoral Researcher in Medical Engineering
- 2022.5–Present - Peking University - Assistant Professor in the School of Future Technology
Academic Background & Achievements
- 2013-2017 PhD: University of Waterloo, Systems Design
- 2010-2013 Master's: Fudan University, Department of Mechanics and Engineering Science
- 2006-2010 Bachelor's: Tongji University, School of Aerospace and Mechanics
- Published approximately 30 academic papers
- Applied for 2 US invention patents
- Participated in NIH projects (2)
- Participated in CFI project (1)
- Led CMC Microsystems projects (3)
- Guest editor for Micromachines and Applied Sciences
- SPIE Photonics West Best Paper Award for brain function photoacoustic tomography
- CMC Microsystems Award for high-sensitivity ultrasound transducers
Publications
- Massively Parallel Photoacoustic Computed Tomography of Human Brain Function, Shuai Na, Jonathan J. Russin, Li Lin, Xiaoyun Yuan, Peng Hu, Kay B. Jann, Lirong Yan, Konstantin Maslov, Junhui Shi, Danny J. Wang, Charles Y. Liu, Lihong V. Wang, 2021
- Photoacoustic computed tomography for functional human brain imaging, Shuai Na, Lihong Wang, 2021
- High-Speed Three-Dimensional Photoacoustic Computed Tomography for Preclinical Research and Clinical Translation, Li Lin, Peng Hu, Xin Tong, Shuai Na, Rui Cao, Xiaoyun Yuan, David C. Garrett, Junhui Shi, Konstantin Maslov, Lihong Wang, 2021
- Transcranial Photoacoustic Computed Tomography Based on a Layered Back-Projection Method, Shuai Na, Xiaoyun Yuan, Li Lin, Julio Isla, David Garrett, Lihong Wang, 2020
- Capacitive Micromachined Ultrasonic Transducers Based on Annular Cell Geometry for Air-Coupled Applications, Shuai Na, Albert I.H. Chen, Lawrence L.P. Wong, Zhenhao Li, Mirek Macecek, John T.W. Yeow, 2016
- Design and Fabrication of a High-Power Air-Coupled Capacitive Micromachined Ultrasonic Transducer Array with Concentric Annular Cells, Shuai Na, Zhou Zheng, Albert I-Hsiang Chen, Lawrence L. P. Wong, Zhenhao Li, John T.W. Yeow, 2017
- An Optimization and Comparison Study of Air-Coupled CMUTs with Circular and Annular Cell Geometries, Shuai Na, Zhenhao Li, Lawrence L. P. Wong, Albert I.-Hsiang Chen, Mirek Macecek, John T. W. Yeow, 2017
- Lumped Element Modeling of Air-Coupled Capacitive Micromachined Ultrasonic Transducers with Annular Cell Geometry, Shuai Na, Lawrence L.P. Wong, Albert I.H. Chen, Zhenhao Li, Mirek Macecek, John T.W. Yeow, 2016
- Cross-ray ultrasound photoacoustic computed tomography of brain function, Shuai Na, Yang Zhang, Lihong Wang, 2022
- Mapping Human Brain Function with Massively Parallel High-Speed Three-Dimensional Photoacoustic Computed Tomography, Shuai Na, Jonathan J. Russin, Li Lin, Xiaoyun Yuan, Peng Hu, Kay B. Jann, Lirong Yan, Konstantin Maslov, Junhui Shi, Danny J. Wang, Charles Y. Liu, Lihong V. Wang, 2021
Awards
- SPIE Photonics West Best Paper Award (2022): Cross-ray ultrasound photoacoustic computed tomography of brain function
- SPIE Photonics West Best Paper Award (2021): Mapping Human Brain Function with Massively Parallel High-Speed Three-Dimensional Photoacoustic Computed Tomography
- CMC Microsystems Award: High-sensitivity ultrasound transducers
