Literature DB >> 6558130

Electrical impedance imaging of the thorax.

Y Kim, J G Webster, W J Tompkins.   

Abstract

In this paper, we propose to develop a new imaging technology, computerized impedance tomography (CIT) for imaging the thorax. Our study involves reconstructing images of thoracic transverse plane impedance distributions noninvasively and nondestructively and exploring the potential of CIT. We overcome the reconstruction problem due to nonlinear and nonplanar current paths in impedance imaging by solving Laplace's equation numerically for every iteration and by using a new back-projection algorithm to modify the impedance profile. We discuss advantages and disadvantages associated with impedance imaging, the computer model, and back-projection algorithms used in reconstructing impedance images. We present reconstructed impedance images with 8 projection angles and different projection methods. We identify important variables affecting the quality of reconstructed images, and discuss the resolution and accuracy of this imaging technique. We summarize numerical aspects, computer requirement, and limitations of impedance imaging. We also discuss the future of impedance imaging.

Entities:  

Mesh:

Year:  1983        PMID: 6558130     DOI: 10.1080/16070658.1983.11689329

Source DB:  PubMed          Journal:  J Microw Power        ISSN: 0022-2739


  2 in total

1.  Impedance tomography: computational analysis based on finite element models of a cylinder and a human thorax.

Authors:  A V Shahidi; R Guardo; P Savard
Journal:  Ann Biomed Eng       Date:  1995 Jan-Feb       Impact factor: 3.934

Review 2.  Thoracic Electrical Impedance Tomography-The 2022 Veterinary Consensus Statement.

Authors:  Olivia A Brabant; David P Byrne; Muriel Sacks; Fernando Moreno Martinez; Anthea L Raisis; Joaquin B Araos; Andreas D Waldmann; Johannes P Schramel; Aline Ambrosio; Giselle Hosgood; Christina Braun; Ulrike Auer; Ulrike Bleul; Nicolas Herteman; Cristy J Secombe; Angelika Schoster; Joao Soares; Shannon Beazley; Carolina Meira; Andy Adler; Martina Mosing
Journal:  Front Vet Sci       Date:  2022-07-22
  2 in total

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