T
Tushar Kanti Bera
Researcher at National Institute of Technology, Durgapur
Publications - 68
Citations - 1444
Tushar Kanti Bera is an academic researcher from National Institute of Technology, Durgapur. The author has contributed to research in topics: Electrical impedance tomography & Imaging phantom. The author has an hindex of 21, co-authored 68 publications receiving 1154 citations. Previous affiliations of Tushar Kanti Bera include Yonsei University & B.M.S. College of Engineering.
Papers
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Bioelectrical Impedance Methods for Noninvasive Health Monitoring: A Review.
TL;DR: The working principles, applications, merits, and demerits of these methods has been discussed in detail along with their other technical issues followed by present status and future trends.
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Electrical impedance spectroscopy (EIS)-based evaluation of biological tissue phantoms to study multifrequency electrical impedance tomography (Mf-EIT) systems
TL;DR: Experimental results obtained from multifrequency EIT reconstruction demonstrate that the electrical impedance of all the biological tissues inhomogenity decreases with frequency.
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Studying the resistivity imaging of chicken tissue phantoms with different current patterns in Electrical Impedance Tomography (EIT)
Tushar Kanti Bera,J. Nagaraju +1 more
TL;DR: The resistivity profiles of all the phantom domains are successfully reconstructed with a proper background resistivity and high inhomogeneity resistivity for both the current injection methods.
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Resistivity imaging of a reconfigurable phantom with circular inhomogeneities in 2D-electrical impedance tomography
Tushar Kanti Bera,J. Nagaraju +1 more
TL;DR: In this paper, a reconfigurable phantom with circular inhomogeneities is studied with a simple instrumentation and data acquisition system for Electrical Impedance Tomography, where a sinusoidal current of constant amplitude is injected to the phantom boundary using opposite current injection protocol.
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Improving Image Quality in Electrical Impedance Tomography (EIT) Using Projection Error Propagation-Based Regularization (PEPR) Technique: A Simulation Study
TL;DR: A Projection Error Propagation-based Regularization (PEPR) method is proposed in this article to improve the reconstructed image quality in Electrical Impedance Tomography (EIT).