Literature DB >> 12812425

Distinguishability of inhomogeneities using planar electrode arrays and different patterns of applied excitation.

Tzu-Jen Kao1, J C Newell, G J Saulnier, D Isaacson.   

Abstract

Electrical impedance tomography (EIT) is a non-invasive technique used to image the electrical conductivity and permittivity within a body from measurements taken on the body surface. Four methods are being investigated for breast cancer diagnosis by EIT today: Single voltage source, single current source and multiple current sources with a fixed pre-determined 'canonical' pattern of currents and an adaptively determined 'optimal' pattern of currents. To determine which of these four methods might yield the best distinguishability using planar electrode arrays for breast cancer detection, we placed electrode arrays on a saline tank and used each excitation pattern to detect a conducting target placed at the centre of a flat electrode array in two geometries: mammography geometry and single probe geometry. The result was that the multiple current sources method had higher distinguishability than either the SCS or the SVS method. In both these electrode geometries, the optimal current pattern had higher distinguishability than the other patterns at all distances.

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Year:  2003        PMID: 12812425     DOI: 10.1088/0967-3334/24/2/352

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  11 in total

1.  A 3D reconstruction algorithm for EIT using a handheld probe for breast cancer detection.

Authors:  Tzu-Jen Kao; D Isaacson; J C Newell; G J Saulnier
Journal:  Physiol Meas       Date:  2006-04-18       Impact factor: 2.833

2.  A compensated radiolucent electrode array for combined EIT and mammography.

Authors:  Tzu-Jen Kao; G J Saulnier; Hongjun Xia; Chandana Tamma; J C Newell; D Isaacson
Journal:  Physiol Meas       Date:  2007-06-26       Impact factor: 2.833

3.  The complete electrode model for EIT in a mammography geometry.

Authors:  Bong Seok Kim; Gregory Boverman; Jonathan C Newell; Gary J Saulnier; David Isaacson
Journal:  Physiol Meas       Date:  2007-06-26       Impact factor: 2.833

4.  A reconstruction algorithm for breast cancer imaging with electrical impedance tomography in mammography geometry.

Authors:  Myoung Hwan Choi; Tzu-Jen Kao; David Isaacson; Gary J Saulnier; Jonathan C Newell
Journal:  IEEE Trans Biomed Eng       Date:  2007-04       Impact factor: 4.538

5.  Robust linearized image reconstruction for multifrequency EIT of the breast.

Authors:  Gregory Boverman; Tzu-Jen Kao; Rujuta Kulkarni; Bong Seok Kim; David Isaacson; Gary J Saulnier; Jonathan C Newell
Journal:  IEEE Trans Med Imaging       Date:  2008-10       Impact factor: 10.048

6.  Methods for compensating for variable electrode contact in EIT.

Authors:  Gregory Boverman; David Isaacson; Gary J Saulnier; Jonathan C Newell
Journal:  IEEE Trans Biomed Eng       Date:  2009-07-21       Impact factor: 4.538

7.  Regional admittivity spectra with tomosynthesis images for breast cancer detection: preliminary patient study.

Authors:  Tzu-Jen Kao; Gregory Boverman; Bong Seok Kim; David Isaacson; Gary J Saulnier; Jonathan C Newell; Myoung H Choi; Richard H Moore; Daniel B Kopans
Journal:  IEEE Trans Med Imaging       Date:  2008-12       Impact factor: 10.048

8.  Imaging cryosurgery with EIT: tracking the ice front and post-thaw tissue viability.

Authors:  Jon F Edd; Antoni Ivorra; Liana Horowitz; Boris Rubinsky
Journal:  Physiol Meas       Date:  2008-07-04       Impact factor: 2.833

9.  High density trans-admittance mammography development and preliminary phantom tests.

Authors:  Mingkang Zhao; Hun Wi; Abu Hena Mostofa Kamal; Alistair Lee McEwan; Eung Je Woo; Tong In Oh
Journal:  Biomed Eng Online       Date:  2012-09-25       Impact factor: 2.819

10.  Imaging fast electrical activity in the brain with electrical impedance tomography.

Authors:  Kirill Y Aristovich; Brett C Packham; Hwan Koo; Gustavo Sato Dos Santos; Andy McEvoy; David S Holder
Journal:  Neuroimage       Date:  2015-09-05       Impact factor: 6.556

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