Paper Info
Title
Multisource Acoustoelectric Imaging With Different Current Source Features
Abstract
Based on acoustoelectric (AE) effect, AE imaging is a potential neuroimaging technique for mapping brain electrical activity with high temporal and spatial resolution. Acting as multiple current sources in the brain, neurons discharge with complex spatial distribution and current features, including frequency and amplitude. However, the current AE imaging mainly focuses on source with single feature, which is lack of multisource AE imaging. To make a step toward developing AE imaging as a clinical imaging technique, this work evaluates and verifies multisource AE imaging with different current source features. Three phantom experiments were implemented with different source configurations, including 1-source, 2-source with different frequencies and amplitudes, and 3-source with different frequencies and amplitudes. Each source with different features can be clearly imaged with a high resolution (1-2 mm of the -6-dB peak). Besides, according to frequency spectrum, the frequency feature can be effectively distinguished. In addition, based on the statistic results of AE signal amplitudes, there are significant differences between each source with different amplitudes. In this study, the multisource with different frequencies and amplitudes is not only clearly imaged but also effectively extracted corresponding features from AE signals. It validates the feasibility of multisource AE imaging with different current source features, which is critical to further research and application of complex AE neuroimaging.
Year
DOI
Venue
2021
10.1109/TIM.2020.3021496
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Keywords
DocType
Volume
Acoustoelectric (AE) imaging, current source feature, multisource, neuroimaging technique
Journal
70
ISSN
Citations 
PageRank 
0018-9456
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Yijie Zhou102.37
Xizi Song204.73
Zhongpeng Wang304.06
Feng He4169.45
Dong Ming510551.47