Literature DB >> 7558059

A real-time electrical impedance tomograph.

P M Edic1, G J Saulnier, J C Newell, D Isaacson.   

Abstract

Electrical properties of tissues in the human body can be imaged using a technology known as Electrical Impedance Tomography. In this modality, sinusoidal electrical currents are applied to the body using electrodes attached to the skin, and voltages that are developed on the electrodes are measured. Using these data, a reconstruction algorithm computes the conductivity and permittivity distributions within the body. This paper describes the reconstruction algorithm, image display algorithm, and hardware of a real-time Electrical Impedance Tomograph known as the Real-Time Imaging System. The reconstruction algorithm, executed by a commercially available coprocessor board that resides in a 386-based personal computer, is a modification of the Newton's One Step Error Reconstructor (NOSER) that minimizes algorithm execution time by precomputing many quantities. The image display algorithm, also executed by the coprocessor board, maps the output of the reconstruction algorithm into an image which is displayed using a video graphics board. The architecture of the system and execution times of algorithms implemented by the system are discussed. Using the continuous data acquisition mode of the Real-Time Imaging System, data from the thorax of a normal human subject were collected. Admittivity changes in the chest, as a result of respiration and the cardiac cycle, are presented. Data that were collected from the leg of a normal subject are shown which demonstrate capabilities of the triggered data acquisition mode of the system, allowing data acquisition synchronization with an electrocardiogram.

Entities:  

Mesh:

Year:  1995        PMID: 7558059     DOI: 10.1109/10.412652

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  11 in total

1.  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

2.  Imaging cardiac activity by the D-bar method for electrical impedance tomography.

Authors:  D Isaacson; J L Mueller; J C Newell; S Siltanen
Journal:  Physiol Meas       Date:  2006-04-18       Impact factor: 2.833

3.  Reconstructions of conductive and insulating targets using the D-bar method on an elliptical domain.

Authors:  E K Murphy; J L Mueller; J C Newell
Journal:  Physiol Meas       Date:  2007-06-26       Impact factor: 2.833

4.  Video rate electrical impedance tomography of vascular changes: preclinical development.

Authors:  Ryan Halter; Alex Hartov; Keith Paulsen
Journal:  Physiol Meas       Date:  2008-02-22       Impact factor: 2.833

5.  Estimating a regional ventilation-perfusion index.

Authors:  P A Muller; T Li; D Isaacson; J C Newell; G J Saulnier; Tzu-Jen Kao; Jeffrey Ashe
Journal:  Physiol Meas       Date:  2015-05-26       Impact factor: 2.833

6.  Adaptive techniques in electrical impedance tomography reconstruction.

Authors:  Taoran Li; David Isaacson; Jonathan C Newell; Gary J Saulnier
Journal:  Physiol Meas       Date:  2014-05-20       Impact factor: 2.833

7.  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

8.  Adaptive Kaczmarz method for image reconstruction in electrical impedance tomography.

Authors:  Taoran Li; Tzu-Jen Kao; David Isaacson; Jonathan C Newell; Gary J Saulnier
Journal:  Physiol Meas       Date:  2013-05-29       Impact factor: 2.833

9.  Direct 2-D reconstructions of conductivity and permittivity from EIT data on a human chest.

Authors:  Claudia N L Herrera; Miguel F M Vallejo; Jennifer L Mueller; Raul G Lima
Journal:  IEEE Trans Med Imaging       Date:  2014-09-04       Impact factor: 10.048

10.  Precise two-dimensional D-bar reconstructions of human chest and phantom tank via sinc-convolution algorithm.

Authors:  Mahdi Abbasi; Ahmad-Reza Naghsh-Nilchi
Journal:  Biomed Eng Online       Date:  2012-06-20       Impact factor: 2.819

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.