2D EIT for biomedical imaging: Design, measurement, simulation, and image reconstruction

A 2D electrical impedance tomography (EIT) system has been developed at Duke University as an experimental system to test the forward and inverse algorithms for EIT application. The forward model is based on the 2nd-order finite element method (FEM), while the image reconstruction is based on the distorted Born iterative method (DBIM). The major contributions of this work are the application of the higher-order FEM as a forward solver, and the DBIM as an inverse solver to the integrated EIT system. The forward model has been validated with the measured data to within 0.5% accuracy. Excellent images have been reconstructed with these collected EIT data sets. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 2989–2998, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22938

[1]  A Hartov,et al.  Dartmouth's next generation EIS system: preliminary hardware considerations. , 2001, Physiological measurement.

[2]  R. Mittra,et al.  Computational Methods for Electromagnetics , 1997 .

[3]  G.J. Saulnier,et al.  A real-time electrical impedance tomograph , 1995, IEEE Transactions on Biomedical Engineering.

[4]  D. C. Barber,et al.  Three-dimensional electrical impedance tomography , 1996, Nature.

[5]  T E Kerner,et al.  An improved data acquisition method for electrical impedance tomography. , 2001, Physiological measurement.

[6]  K. Boone,et al.  Imaging with electricity: report of the European Concerted Action on Impedance Tomography. , 1997, Journal of medical engineering & technology.

[7]  William R B Lionheart,et al.  A Matlab toolkit for three-dimensional electrical impedance tomography: a contribution to the Electrical Impedance and Diffuse Optical Reconstruction Software project , 2002 .

[8]  J Jossinet,et al.  Active current electrodes for in vivo electrical impedance tomography. , 1994, Physiological measurement.

[9]  Keith D. Paulsen,et al.  Using voltage sources as current drivers for electrical impedance tomography , 2002 .

[10]  JERZY WTOREK,et al.  Impedance Mammograph 3D Phantom Studies , 1999, Annals of the New York Academy of Sciences.

[11]  A Hartov,et al.  Multifrequency electrical impedance imaging: preliminary in vivo experience in breast. , 2000, Physiological measurement.

[12]  A Korjenevsky,et al.  A 3D electrical impedance tomography (EIT) system for breast cancer detection. , 2001, Physiological measurement.

[13]  J Jossinet,et al.  A Review of Parameters for the Bioelectrical Characterization of Breast Tissue , 1999, Annals of the New York Academy of Sciences.

[14]  A. Patera A spectral element method for fluid dynamics: Laminar flow in a channel expansion , 1984 .

[15]  D C Barber,et al.  Quantification in impedance imaging. , 1990, 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.

[16]  Martin D. F. Wong,et al.  Efficient via shifting algorithms in channel compaction , 1993, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[17]  R. Barker,et al.  Rapid least-squared inversion of apparent resisitivity pseudosections by a quasi-Newton method , 1996 .

[18]  T. Boehm,et al.  Electrical impedance scanning for classifying suspicious breast lesions: first results , 2000, European Radiology.

[19]  G.J. Saulnier,et al.  ACT3: a high-speed, high-precision electrical impedance tomograph , 1991, IEEE Transactions on Biomedical Engineering.

[20]  Qing Huo Liu,et al.  Nonlinear inversion of electrode-type resistivity measurements , 1994, IEEE Trans. Geosci. Remote. Sens..

[21]  Qing Huo Liu,et al.  An efficient 3-D spectral-element method for Schrödinger equation in nanodevice simulation , 2005, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[22]  Alexander Hartov,et al.  Electromagnetic breast imaging: average tissue property values in women with negative clinical findings. , 2004, Radiology.