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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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Journal ArticleDOI

Electrical Impedance Variations in Banana Ripening: An Analytical Study with Electrical Impedance Spectroscopy

TL;DR: In this paper, the electrical impedance spectroscopy technique has been used for non-invasive characterization of banana ripening, which can not only help us to find the optimum ripening state but also help the researchers to analyze its physiological changes, taste, and nutrient levels.
Journal ArticleDOI

A MATLAB-Based Boundary Data Simulator for Studying the Resistivity Reconstruction Using Neighbouring Current Pattern

TL;DR: A MATLAB-based boundary data simulator (BDS) is developed to generate accurate boundary data using neighbouring current pattern for assessing the EIT inverse solvers and it is noticed that for the BDS with 2048 elements, the boundary data for all inhomogeneities with a diameter larger than 13.3% of that of the phantom are accurate enough to reconstruct the resistivity images in EIDORS-2D.
Journal ArticleDOI

Improving Conductivity Image Quality Using Block Matrix-based Multiple Regularization (BMMR) Technique in EIT: A Simulation Study

TL;DR: In this paper, a block matrix based multiple regularization (BMMR) technique is proposed for improving conductivity image quality in EIT, where the response matrix (J T J) has been partitioned into several sub-block matrices and the highest eigenvalue of each subblock matrix has been chosen as regularization parameter for the nodes contained by that subblock.
Book ChapterDOI

Studying the Boundary Data Profile of a Practical Phantom for Medical Electrical Impedance Tomography with Different Electrode Geometries

TL;DR: Measured boundary potentials are compared with the simulated data generated by a finite element method based forward solver, intended to modify the phantom design parameters for better image reconstruction.
Proceedings ArticleDOI

A multifrequency Electrical Impedance Tomography (EIT) system for biomedical imaging

TL;DR: In this paper, a multifrequency EIT system is developed for biomedical imaging and the resistivity imaging of a practical phantom is studied at different frequencies and boundary data are successfully generated for all the frequencies and found suitable for image reconstruction.