Tissue characterization using electrical impedance spectroscopy data: A linear algebra approach Journal Article


Authors: Laufer, S.; Solomon, S. B.; Rubinsky, B.
Article Title: Tissue characterization using electrical impedance spectroscopy data: A linear algebra approach
Abstract: In this study, we use a new linear algebra manipulation on electrical impedance spectroscopy measurements to provide real-time information regarding the nature of the tissue surrounding the needle in minimal invasive procedures. Using a Comsol Multiphysics three-dimensional model, a phantom based on ex vivo animal tissue and in vivo animal data, we demonstrate how tissue inhomogeneity can be characterized without any previous knowledge of the electrical properties of the different tissues, except that they should not be linearly dependent on a certain frequency range. This method may have applications in needle biopsies, radiation seeds, or minimally invasive surgery and can reduce the number of computer tomography or magnetic resonance imaging images. We conclude by demonstrating how this mathematical approach can be useful in other applications. © 2012 Institute of Physics and Engineering in Medicine.
Keywords: liver neoplasms; methodology; linear models; animal; animals; statistics; pathology; animalia; models, theoretical; biopsy, needle; image quality; liver tumor; needle biopsy; rat; statistics as topic; organ specificity; antibody specificity; computer simulation; rats; phantoms, imaging; rats, sprague-dawley; statistical model; theoretical model; sprague dawley rat; guided biopsy; electrical impedance spectroscopy; electric impedance; electrode; bioimpedance; impedance; electrodes; needle guidance; electrochemical impedance spectroscopy; dielectric spectroscopy
Journal Title: Physiological Measurement
Volume: 33
Issue: 6
ISSN: 0967-3334
Publisher: Institute of Physics and Engineering in Medicine  
Date Published: 2012-06-01
Start Page: 997
End Page: 1013
Language: English
DOI: 10.1088/0967-3334/33/6/997
PROVIDER: scopus
PUBMED: 22561199
DOI/URL:
Notes: --- - "Export Date: 4 June 2012" - "CODEN: PMEAE" - "Source: Scopus"
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  1. Stephen Solomon
    422 Solomon