TY - GEN
T1 - An ultrasensitive magnetoelectric sensor system for the quantitative detection of liver iron
AU - Xi, Hao
AU - Lu, Meng Chien
AU - Qian, Xiaoshi
AU - Zhang, Q. M.
AU - Rupprecht, Sebastian
AU - Yang, Qing X.
N1 - Funding Information:
This work was supported by NIH under the Grant No. 1R21 EB020714
Publisher Copyright:
© 2016 IEEE.
PY - 2016/1/5
Y1 - 2016/1/5
N2 - Ultrasensitive magnetoelectric (ME) sensors have been developed using magnetostrictive/piezoelectric laminate heterostructures. This paper discusses a highly interdisciplinary design of a room temperature biomagnetic liver susceptometry system (BLS) based on the ME sensors. The ME-sensor based BLS maintains the ultrahigh sensitivity to detect the weak AC biomagnetic signals and introduces a low equivalent magnetic noise. The results reveal a 'turning point' and successfully indicate the output signals to be linearly responsive to iron concentrations from normal iron level (0.05 mgFe/gliver phantom) to 5 mgFe/gliver phantom iron overload level (100X overdose). Further, the introduction of the water-bag technique shows the promise on the automatic deduction of the background (tissue) signal, enabling an even higher sensitivity and better signal-to-noise (SNR). With these improvements, it becomes feasible to get improved characterization flexibility and the field distribution mapping potential via signal processing from the correlations of multiple sensors in the system. Considering the wide presence of biomagnetic signals in human organs, the potential impact of such biomagnetic devices on medicine and health care could be enormous and far-reaching.
AB - Ultrasensitive magnetoelectric (ME) sensors have been developed using magnetostrictive/piezoelectric laminate heterostructures. This paper discusses a highly interdisciplinary design of a room temperature biomagnetic liver susceptometry system (BLS) based on the ME sensors. The ME-sensor based BLS maintains the ultrahigh sensitivity to detect the weak AC biomagnetic signals and introduces a low equivalent magnetic noise. The results reveal a 'turning point' and successfully indicate the output signals to be linearly responsive to iron concentrations from normal iron level (0.05 mgFe/gliver phantom) to 5 mgFe/gliver phantom iron overload level (100X overdose). Further, the introduction of the water-bag technique shows the promise on the automatic deduction of the background (tissue) signal, enabling an even higher sensitivity and better signal-to-noise (SNR). With these improvements, it becomes feasible to get improved characterization flexibility and the field distribution mapping potential via signal processing from the correlations of multiple sensors in the system. Considering the wide presence of biomagnetic signals in human organs, the potential impact of such biomagnetic devices on medicine and health care could be enormous and far-reaching.
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U2 - 10.1109/ICSENS.2016.7808778
DO - 10.1109/ICSENS.2016.7808778
M3 - Conference contribution
C2 - 29805722
AN - SCOPUS:85011002738
T3 - Proceedings of IEEE Sensors
BT - IEEE Sensors, SENSORS 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE Sensors Conference, SENSORS 2016
Y2 - 30 October 2016 through 2 November 2016
ER -
