Title
Simulation study of electrodes optimization design of power density imaging
Abstract
Recently there has been an increasing research interest in the hybrid imaging techniques, utilizing couplings of physical modalities, because these methods promise high resolution. Acousto-electric effect depicts that focused ultrasound alters the conductivity in the focal region. Based on the acousto-electric effect, power density imaging (PDI) is proposed as a new imaging technique, which utilizes couplings between electric and ultrasound modalities. Since the power density distribution is highly dependent on the conductivity distribution, an accurate imaging of power density distribution gives important information about the electrical properties distribution of the biological tissues. The optimization design of electrodes sensor is one of the key issues that will have direct effect on the measurement and imaging results of power density imaging based on ultrasonic modulation. So the influence of structure parameters of electrodes array on the measurement and imaging results was discussed. The number and length of the electrodes as well as the location of electrodes and the slot size were considered. The laws of influence of structure parameters on the measurement and imaging results can be obtained by comparing the quality of the reconstructed image and the magnitude of acousto-electric signals. A group of optimized structure parameters of electrode array were summarized which can promote the application of power density imaging.
Year
DOI
Venue
2016
10.1109/I2MTC.2016.7520385
2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings
Keywords
Field
DocType
acousto-electrical tomography,power density imaging,electrodes,optimal design
Conductivity,Ultrasonic sensor,Coupling,Electrode array,Optimal design,Electronic engineering,Power density,Modulation,Electrode,Mathematics
Conference
ISBN
Citations 
PageRank 
978-1-4673-9221-1
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Chunqing Dou100.34
Yanbin Xu202.70
Feng Dong31731.05