Literature DB >> 8606768

Three-dimensional electrical impedance tomography.

P Metherall1, D C Barber, R H Smallwood, B H Brown.   

Abstract

The electrical resistivity of mammalian tissues varies widely and is correlated with physiological function. Electrical impedance tomography (EIT) can be used to probe such variations in vivo, and offers a non-invasive means of imaging the internal conductivity distribution of the human body. But the computational complexity of EIT has severe practical limitations, and previous work has been restricted to considering image reconstruction as an essentially two-dimensional problem. This simplification can limit significantly the imaging capabilities of EIT, as the electric currents used to determine the conductivity variations will not in general be confined to a two-dimensional plane. A few studies have attempted three-dimensional EIT image reconstruction, but have not yet succeeded in generating images of a quality suitable for clinical applications. Here we report the development of a three-dimensional EIT system with greatly improved imaging capabilities, which combines our 64-electrode data-collection apparatus with customized matrix inversion techniques. Our results demonstrate the practical potential of EIT for clinical applications, such as lung or brain imaging and diagnostic screening.

Entities:  

Mesh:

Year:  1996        PMID: 8606768     DOI: 10.1038/380509a0

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  58 in total

1.  Conductivity tensor mapping of the human brain using diffusion tensor MRI.

Authors:  D S Tuch; V J Wedeen; A M Dale; J S George; J W Belliveau
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-25       Impact factor: 11.205

2.  An Algorithm for Applying Multiple Currents Using Voltage Sources in Electrical Impedance Tomography.

Authors:  Myoung H Choi; Tzu-Jen Kao; David Isaacson; Gary J Saulnier; Jonathan C Newell
Journal:  Int J Control Autom Syst       Date:  2008-01-01       Impact factor: 3.314

3.  Imaging biological tissues with electrical conductivity contrast below 1 S m by means of magnetoacoustic tomography with magnetic induction.

Authors:  Gang Hu; Xu Li; Bin He
Journal:  Appl Phys Lett       Date:  2010-09-10       Impact factor: 3.791

4.  A fast time-difference inverse solver for 3D EIT with application to lung imaging.

Authors:  Ashkan Javaherian; Manuchehr Soleimani; Knut Moeller
Journal:  Med Biol Eng Comput       Date:  2016-01-06       Impact factor: 2.602

5.  A new magnetic resonance electrical impedance tomography (MREIT) algorithm: the RSM-MREIT algorithm with applications to estimation of human head conductivity.

Authors:  Nuo Gao; S A Zhu; Bin He
Journal:  Phys Med Biol       Date:  2006-05-31       Impact factor: 3.609

6.  B-scan based acoustic source reconstruction for magnetoacoustic tomography with magnetic induction (MAT-MI).

Authors:  Leo Mariappan; Xu Li; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2010-11-22       Impact factor: 4.538

7.  A Phantom Study of Magnetoacoustic Tomography with Magnetic Induction (MAT-MI) for Imaging Electrical Impedance of Biological Tissue.

Authors:  Xu Li; Yuan Xu; Bin He
Journal:  J Appl Phys       Date:  2006-03-29       Impact factor: 2.546

Review 8.  [Electrical impedance tomography: ready for routine clinical use for mechanically ventilated patients?].

Authors:  J Hinz; G Hahn; M Quintel
Journal:  Anaesthesist       Date:  2008-01       Impact factor: 1.041

9.  Magnetoacoustic tomography with magnetic induction: bioimepedance reconstruction through vector source imaging.

Authors:  Leo Mariappan; Bin He
Journal:  IEEE Trans Med Imaging       Date:  2013-01-11       Impact factor: 10.048

Review 10.  Magnetic-resonance-based electrical properties tomography: a review.

Authors:  Xiaotong Zhang; Jiaen Liu; Bin He
Journal:  IEEE Rev Biomed Eng       Date:  2014
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