A novel time-difference electrical impedance tomography algorithm using multi-frequency information

[1]  Zhanqi Zhao,et al.  Comparison of electrical impedance tomography and intracranial pressure during dehydration treatment of cerebral edema , 2019, NeuroImage: Clinical.

[2]  A Adler,et al.  Comparing D-bar and common regularization-based methods for electrical impedance tomography , 2019, Physiological measurement.

[3]  L. Beltrachini,et al.  Variation in Reported Human Head Tissue Electrical Conductivity Values , 2019, bioRxiv.

[4]  F. Fu,et al.  Design and implementation of a high-precision electrical impedance tomography data acquisition system for brain imaging , 2018, 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS).

[5]  K. Y. Kim,et al.  An Automatic Detection of the ROI Using Otsu Thresholding in Nonlinear Difference EIT Imaging , 2018, IEEE Sensors Journal.

[6]  Lin Yang,et al.  Unveiling the development of intracranial injury using dynamic brain EIT: an evaluation of current reconstruction algorithms , 2017, Physiological measurement.

[7]  Andy Adler,et al.  Electrical Impedance Tomography: Tissue Properties to Image Measures , 2017, IEEE Transactions on Biomedical Engineering.

[8]  Eung Je Woo,et al.  A Fidelity-Embedded Regularization Method for Robust Electrical Impedance Tomography , 2017, IEEE Transactions on Medical Imaging.

[9]  Jean-Philippe Thiran,et al.  A Versatile Noise Performance Metric for Electrical Impedance Tomography Algorithms , 2017, IEEE Transactions on Biomedical Engineering.

[10]  Lin Yang,et al.  A novel multi-frequency electrical impedance tomography spectral imaging algorithm for early stroke detection , 2016, Physiological measurement.

[11]  Feng Dong,et al.  An adaptive Tikhonov regularization parameter choice method for electrical resistance tomography , 2016 .

[12]  Zhou Zhou,et al.  Comparison of total variation algorithms for electrical impedance tomography , 2015, Physiological measurement.

[13]  Simon Arridge,et al.  A Reconstruction-Classification Method for Multifrequency Electrical Impedance Tomography , 2015, IEEE Transactions on Medical Imaging.

[14]  Bing Li,et al.  Use of Electrical Impedance Tomography to Monitor Regional Cerebral Edema during Clinical Dehydration Treatment , 2014, PloS one.

[15]  Simon Arridge,et al.  Stroke type differentiation using spectrally constrained multifrequency EIT: evaluation of feasibility in a realistic head model , 2014, Physiological measurement.

[16]  Eung Je Woo,et al.  Reconstruction of dual-frequency conductivity by optimization of phase map in MREIT and MREPT , 2014, Biomedical engineering online.

[17]  Simon R. Arridge,et al.  Multifrequency Electrical Impedance Tomography Using Spectral Constraints , 2014, IEEE Transactions on Medical Imaging.

[18]  Jorge Ripoll,et al.  Use of Split Bregman denoising for iterative reconstruction in fluorescence diffuse optical tomography , 2013, Journal of biomedical optics.

[19]  Xuetao Shi,et al.  An optimized strategy for real-time hemorrhage monitoring with electrical impedance tomography , 2011, Physiological measurement.

[20]  Eung Je Woo,et al.  Frequency-difference EIT (fdEIT) using weighted difference and equivalent homogeneous admittivity: validation by simulation and tank experiment , 2009, Physiological measurement.

[21]  William R B Lionheart,et al.  GREIT: a unified approach to 2D linear EIT reconstruction of lung images , 2009, Physiological measurement.

[22]  Simon R Arridge,et al.  Comparison of methods for optimal choice of the regularization parameter for linear electrical impedance tomography of brain function , 2008, Physiological measurement.

[23]  Eung Je Woo,et al.  Frequency-difference electrical impedance tomography (fdEIT): algorithm development and feasibility study , 2008, Physiological measurement.

[24]  A Adler,et al.  Objective selection of hyperparameter for EIT , 2006, Physiological measurement.

[25]  Manuchehr Soleimani,et al.  Electrical impedance tomography imaging using a priori ultrasound data , 2006, Biomedical engineering online.

[26]  M. Schweiger,et al.  Diffuse optical tomography with spectral constraints and wavelength optimization. , 2005, Applied optics.

[27]  W. Lionheart.  EIT reconstruction algorithms: pitfalls, challenges and recent developments , 2003, Physiological measurement.

[28]  Thomas C. Ferrée,et al.  Weighted regularization in electrical impedance tomography with applications to acute cerebral stroke , 2002, IEEE Transactions on Medical Imaging.

[29]  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..

[30]  David Isaacson,et al.  NOSER: An algorithm for solving the inverse conductivity problem , 1990, Int. J. Imaging Syst. Technol..

[31]  B. Brown,et al.  Applied potential tomography. , 1989, Journal of the British Interplanetary Society.

[32]  D C Barber,et al.  A review of image reconstruction techniques for electrical impedance tomography. , 1989, Medical physics.

[33]  Willis J. Tompkins,et al.  Comparing Reconstruction Algorithms for Electrical Impedance Tomography , 1987, IEEE Transactions on Biomedical Engineering.

[34]  B H Brown,et al.  The Sheffield data collection system. , 1987, Clinical physics and physiological measurement : an official journal of the Hospital Physicists' Association, Deutsche Gesellschaft fur Medizinische Physik and the European Federation of Organisations for Medical Physics.

[35]  D. Jackson.  Interpretation of Inaccurate, Insufficient and Inconsistent Data , 1972 .

[36]  L. Geddes,et al.  The specific resistance of biological material—A compendium of data for the biomedical engineer and physiologist , 1967, Medical and biological engineering.

[37]  Yoon Mo Jung,et al.  Impedance Imaging With First-Order TV Regularization , 2015, IEEE Transactions on Medical Imaging.

[38]  Andy Adler,et al.  In Vivo Impedance Imaging With Total Variation Regularization , 2010, IEEE Transactions on Medical Imaging.