|Table of Contents|

Magneto-Acousto-Electrical Detection Technology Based onElectrical Impedance Variation of Tissues(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2018年01期
Page:
35-
Research Field:
·物理学·
Publishing date:

Info

Title:
Magneto-Acousto-Electrical Detection Technology Based onElectrical Impedance Variation of Tissues
Author(s):
Dai Sijie1; Zhou Yan2; Ding Heping2; Guo Gepu2; Ma Qingyu2
(1.Honors College,Nanjing Normal University,Nanjing 210023,China)(2.School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China)
Keywords:
magneto-acousto-electrical measurement; conductivity difference; biological tissues; conductivity gradient
PACS:
O426.9
DOI:
10.3969/j.issn.1001-4616.2018.01.008
Abstract:
Magneto-acousto-electrical(MAE)measurement is a recently developed technology based on the coupling of ultrasound transmission and Hall Effect with the interaction among the magnetic,acoustic and electrical fields. With the detected MAE signal generated by the acoustic vibration of charged particles in magnetic field,the conductivity difference at conductivity boundaries can be measured. For the acoustic vibration in biological tissues with conductivity variation,the analytical formula of the MAE signal is derived and also simplified for a strong directional transducer. Numerical simulations are conducted for several 3-layer conductive models,and prove that the wave clusters in MAE signal are generated at the conductivity boundary with the amplitude and polarity reflecting the value and the direction of conductivity gradient. With the established the MAE system,experimental measurements are performed for multi-layer gel models and the collected MAE signals agree well with the simulations. The favorable results demonstrate that the conductivity difference along the acoustic transmission path can be detected accurately with the conductivity gradient of the MAE technology,which suggests the application potential in noninvasive electrical impedance detection and biomedical imaging.

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Last Update: 2018-03-31