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Seo, J.K.[Jin Keun],
Mathematical Framework for Abdominal Electrical Impedance Tomography
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BibRef
Gong, B.,
Schullcke, B.,
Krueger-Ziolek, S.,
Vauhkonen, M.,
Wolf, G.,
Mueller-Lisse, U.,
Moeller, K.,
EIT Imaging Regularization Based on Spectral Graph Wavelets,
MedImg(36), No. 9, September 2017, pp. 1832-1844.
IEEE DOI
1709
bioelectric phenomena, biological tissues,
electric impedance imaging,
wavelet transforms, wavelet transforms, Jacobian matrices,
Electricalimpedancetomography
BibRef
Liu, D.,
Khambampati, A.K.,
Du, J.,
A Parametric Level Set Method for Electrical Impedance Tomography,
MedImg(37), No. 2, February 2018, pp. 451-460.
IEEE DOI
1802
Conductivity, Image reconstruction, Inverse problems, Level set,
Lungs, Shape, Tomography, Electrical impedance tomography,
parametric level set method
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Garmatter, D.[Dominik],
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Magnetic Resonance Electrical Impedance Tomography (MREIT):
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Liu, S.,
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Yang, Y.,
Image Reconstruction in Electrical Impedance Tomography Based on
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MedImg(37), No. 9, September 2018, pp. 2090-2102.
IEEE DOI
1809
Tomography, Image reconstruction, Bayes methods, Electrodes,
Voltage measurement, Conductivity, Computational modeling,
maximuma posteriori(MAP) estimation
BibRef
Leijsen, R.L.,
Brink, W.M.,
van den Berg, C.A.T.,
Webb, A.G.,
Remis, R.F.,
3-D Contrast Source Inversion-Electrical Properties Tomography,
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IEEE DOI
1809
Radio frequency, Mathematical model,
Image reconstruction, Magnetic resonance imaging,
electromagnetic Green's tensor field representations
BibRef
Lee, K.,
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A Fidelity-Embedded Regularization Method for Robust Electrical
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IEEE DOI
1809
Electrodes, Conductivity, Tomography, Image reconstruction,
Voltage measurement, Jacobian matrices,
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Hamilton, S.J.,
Hauptmann, A.,
Deep D-Bar: Real-Time Electrical Impedance Tomography Imaging With
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1810
Tomography, Image reconstruction, Conductivity, Real-time systems,
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Liu, D.,
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A Parametric Level Set-Based Approach to Difference Imaging in
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MedImg(38), No. 1, January 2019, pp. 145-155.
IEEE DOI
1901
Conductivity, Tomography, Image reconstruction,
Computational modeling, Level set, Conductivity measurement,
inverse problems
BibRef
Liu, D.,
Gu, D.,
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Du, J.,
B-Spline Level Set Method for Shape Reconstruction in Electrical
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IEEE DOI
2006
Electrical impedance tomography, B-spline level set method,
Inverse problems, Shape reconstruction
BibRef
Liu, D.,
Gu, D.,
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Shape Reconstruction Using Boolean Operations in Electrical Impedance
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2009
Shape, Image reconstruction, Conductivity, Splines (mathematics),
Level set, Reconstruction algorithms,
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Ren, S.,
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A Statistical Shape-Constrained Reconstruction Framework for
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1910
Shape, Lung, Image reconstruction, Computed tomography, Conductivity,
Electrical impedance tomography, lung imaging,
robust principal component analysis
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Liu, D.,
Gu, D.,
Smyl, D.,
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Du, J.,
B-Spline-Based Sharp Feature Preserving Shape Reconstruction Approach
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IEEE DOI
1911
Tomography, Splines (mathematics), Shape, Image reconstruction,
Conductivity, Fourier series, Numerical models,
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MedImg(38), No. 12, December 2019, pp. 2937-2948.
IEEE DOI
1912
Shape, Image reconstruction, Tomography, Topology, Level set,
Conductivity, Electrodes, Electrical impedance tomography,
inverse problems
BibRef
Jiang, Y.D.,
Soleimani, M.,
Capacitively Coupled Electrical Impedance Tomography for Brain
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MedImg(38), No. 9, September 2019, pp. 2104-2113.
IEEE DOI
1909
Electrodes, Tomography, Impedance, Head, Conductivity,
Electrical resistance measurement,
multi-frequency time-difference imaging
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Connell, I.R.O.,
Menon, R.S.,
Shape Optimization of an Electric Dipole Array for 7 Tesla
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1909
Radio frequency, Optimization, Conductors, Shape, Head, Couplings,
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Dual-modality imaging, inclusion boundary reconstruction,
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Tomography, Conductivity, Mathematical model, Image reconstruction,
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2006
Computed tomography, cross-gradient function,
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2010
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Murphy, E.K.,
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Phantom Studies of Fused-Data TREIT Using Only Biopsy-Probe
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2011
Electrodes, Biopsy, Probes, Tomography, Image reconstruction,
Conductivity, Data fusion, electrical impedance tomography,
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2012
Tomography, Conductivity, Image reconstruction, Shape,
Computational modeling, Conductivity measurement, shape reconstruction
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Liu, D.,
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2102
Shape, Image reconstruction, Tomography, Conductivity, Topology,
Conductivity measurement, Current measurement, primitives
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2105
Jacobian matrices, Artificial neural networks, Inverse problems,
Training, Computational modeling,
electrical impedance tomography
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Agnelli, J.P.[Juan P.],
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2201
conductivity characteristics, electrical impedance tomography,
human lung tissue, impedance spectra, priori information
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conductivity distribution, electrical impedance tomography, visualization
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conductivity distribution, electrical impedance tomography,
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2307
Electrical impedance tomography, Image reconstruction,
Electronics packaging, Artificial neural networks, Training data,
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Electrical resistance tomography.
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Multi-Path Fusion in SFCF-Net for Enhanced Multi-Frequency Electrical
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2408
Imaging, Conductivity, Frequency measurement, Impedance,
Image reconstruction, Feature extraction, Lesions, Deep learning,
multi-frequency electrical impedance tomography (mfEIT)
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Madjid, N.A.,
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Object Segmentation In Electrical Impedance Tomography For Tactile
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ICIP20(3050-3054)
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2011
Image segmentation, Tomography, Image reconstruction, Sensors,
Electrodes, Mathematical model, Conductivity, Active contours,
tactile sensing
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Li, X.,
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Wang, Q.,
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Sun, Y.,
An image reconstruction framework based on deep neural network for
electrical impedance tomography,
ICIP17(3585-3589)
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1803
Conductivity, Finite element analysis, Image reconstruction,
Mathematical model, Tomography, Training, Voltage measurement,
stacked autoencoder (SAE)
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Zaravi, S.,
Amirfattahi, R.,
Vahdat, B.V.,
Investigation of error propagation and measurement error for 2D block
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bioelectric potentials
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Lu, L.[Lin],
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Analysis of the electrical impedance tomography algorithm based on
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ICWAPR14(36-42)
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1402
Electrodes
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Maimaitijiang, Y.,
Roula, M.A.,
Sobeihi, K.,
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0911
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Application of Digital Imaging Technique in Electrical Charge
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0912
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He, S.J.[Shi-Jun],
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A 3D Image Reconstruction Algorithm of Electrical Capacitance
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9810
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A FEM-Based Nonlinear MAP Estimator in Electrical Impedance
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Shallof, A.M.,
Barber, D.C.,
Imaging the complex conductivity in electrical impedance tomography,
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9610
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Tomographic Image Generation, Cone-Beam, Fan-Beam, Helical, Spiral Reconstruction .