By Topic

Improvement of signal-to-noise ratio and image stability in magnetic inductance tomography by exploiting transient response analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)

This study presents a method to increase the signal-to-noise ratio (SNR) and image stability in magnetic inductance tomography (MIT) data acquisition by exploiting transient response analysis. In front-end circuits for inductance measurements in MIT, a critical step is the phase sensitive demodulation, which includes a low pass filter. When the excitation source is switched from one coil to the next, a transient response occurs as the received voltage level changes. Normally, data acquisition takes place after the transient response finishes and the voltage level becomes nearly constant. In this study, a method is proposed to increase the SNR by exploiting the information embedded in the transient response. Simulation and experimental tests have confirmed the validity of the method; standard deviations of the measured inductance decrease more than 50%. The impact of improvement in SNR in raw inductance measurement on image stability is considered with different image reconstruction algorithms. The error propagation in the image reconstruction process is discussed.

Published in:

Image Processing, IET  (Volume:5 ,  Issue: 5 )