A Solution to Invalid Data in TMR-Based Electromagnetic Tomography

[1]  Jiamin Ye,et al.  A new image reconstruction strategy for TMR-EMT: combining regularization theory with guided image filtering method , 2022, Measurement Science and Technology.

[2]  Lifeng Zhang,et al.  Image Reconstruction of Electrical Capacitance Tomography Based on an Efficient Sparse Bayesian Learning Algorithm , 2022, IEEE Transactions on Instrumentation and Measurement.

[3]  I. Muttakin,et al.  Interior Void Classification in Liquid Metal Using Multi-Frequency Magnetic Induction Tomography With a Machine Learning Approach , 2021, IEEE Sensors Journal.

[4]  Ze Liu,et al.  3D electromagnetic tomography using a single layer sensor array , 2021 .

[5]  H. Griffiths.  Magnetic induction tomography , 2001 .

[6]  Wenbin Tian,et al.  3-D Image Reconstruction in Planar Array ECT by Combining Depth Estimation and Sparse Representation , 2021, IEEE Transactions on Instrumentation and Measurement.

[7]  Wuqiang Yang,et al.  A Fuzzy PID-Controlled Iterative Calderon’s Method for Binary Distribution in Electrical Capacitance Tomography , 2021, IEEE Transactions on Instrumentation and Measurement.

[8]  Jiamin Ye,et al.  An Ill-Conditioned Optimization Method and Relaxation Strategy of Landweber for EMT System Based on TMR , 2021, IEEE Transactions on Instrumentation and Measurement.

[9]  Feng Dong,et al.  Combined Planar Magnetic Induction Tomography for Local Detection of Intracranial Hemorrhage , 2021, IEEE Transactions on Instrumentation and Measurement.

[10]  Chao Wang,et al.  Investigation of Spatial Resolution of Electrical Capacitance Tomography Based on Coupling Simulation , 2020, IEEE Transactions on Instrumentation and Measurement.

[11]  Lin Li,et al.  Composite Sensitivity Matrix for Reducing the Influence of Medium Electrification on Electrical Capacitance Tomography , 2020, IEEE Transactions on Instrumentation and Measurement.

[12]  Huaxiang Wang,et al.  A Dual-Modality Integrated Sensor for Electrical Capacitance Tomography and Electromagnetic Tomography , 2019, IEEE Sensors Journal.

[13]  Ze Liu,et al.  A novel algorithm based on L1-L norm for inverse problem of electromagnetic tomography , 2019, Flow Measurement and Instrumentation.

[14]  Ziqiang Cui,et al.  A novel EMT system based on TMR sensors for reconstruction of permeability distribution , 2018, Measurement Science and Technology.

[15]  Andrew Hunt,et al.  Combining Magnetic Induction Tomography and Electromagnetic Velocity Tomography for Water Continuous Multiphase Flows , 2017, IEEE Sensors Journal.

[16]  Meng Wu,et al.  Evaluation of Excitation Strategy for a Large-Scale ECT Sensor With Internal–External Electrodes , 2017, IEEE Sensors Journal.

[17]  Jin Y. Ooi,et al.  Correlation of Volume Ratio and Normalized Permittivity in Particle Mixture , 2017, IEEE Access.

[18]  Wuqiang Yang,et al.  Development of a Navigation Tool for Revision Total Hip Surgery Based on Electrical Impedance Tomography , 2016, IEEE Transactions on Instrumentation and Measurement.

[19]  James Avery,et al.  Correcting electrode modelling errors in EIT on realistic 3D head models , 2015, Physiological measurement.

[20]  Haiqing Li,et al.  A new dual-modality ECT/ERT technique based on C4D principle , 2015, 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.

[21]  Haigang Wang,et al.  Image Reconstruction for Electrical Capacitance Tomography Based on Sparse Representation , 2015, IEEE Transactions on Instrumentation and Measurement.

[22]  Huaxiang Wang,et al.  Fast reconstruction of electrical resistance tomography (ERT) images based on the projected CG method , 2012 .

[23]  A. V. Schaik,et al.  L1 regularization method in electrical impedance tomography by using the L1-curve (Pareto frontier curve) , 2012 .

[24]  Manuchehr Soleimani,et al.  Three-dimensional magnetic induction tomography imaging using a matrix free krylov subspace inversion algorithm , 2012 .

[25]  Xiandong Ma,et al.  Electromagnetic techniques for imaging the cross-section distribution of molten steel flow in the continuous casting nozzle , 2005, IEEE Sensors Journal.

[26]  Hermann Scharfetter,et al.  Planar gradiometer for magnetic induction tomography (MIT): theoretical and experimental sensitivity maps for a low-contrast phantom. , 2004, Physiological measurement.

[27]  Hermann Scharfetter,et al.  Detection of brain oedema using magnetic induction tomography: a feasibility study of the likely sensitivity and detectability. , 2004, Physiological measurement.

[28]  Hermann Scharfetter,et al.  Sensitivity maps for low-contrast perturbations within conducting background in magnetic induction tomography. , 2002, Physiological measurement.

[29]  H Scharfetter,et al.  Sensitivity maps and system requirements for magnetic induction tomography using a planar gradiometer. , 2001, Physiological measurement.

[30]  H Griffiths,et al.  Magnetic Induction Tomography: A Measuring System for Biological Tissues , 1999, Annals of the New York Academy of Sciences.

[31]  Jari P. Kaipio,et al.  Tikhonov regularization and prior information in electrical impedance tomography , 1998, IEEE Transactions on Medical Imaging.

[32]  Dianne P. O'Leary,et al.  The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems , 1993, SIAM J. Sci. Comput..