Literature DB >> 21646713

Evaluation of EIT system performance.

Mamatjan Yasin1, Stephan Böhm, Pascal O Gaggero, Andy Adler.   

Abstract

An electrical impedance tomography (EIT) system images internal conductivity from surface electrical stimulation and measurement. Such systems necessarily comprise multiple design choices from cables and hardware design to calibration and image reconstruction. In order to compare EIT systems and study the consequences of changes in system performance, this paper describes a systematic approach to evaluate the performance of the EIT systems. The system to be tested is connected to a saline phantom in which calibrated contrasting test objects are systematically positioned using a position controller. A set of evaluation parameters are proposed which characterize (i) data and image noise, (ii) data accuracy, (iii) detectability of single contrasts and distinguishability of multiple contrasts, and (iv) accuracy of reconstructed image (amplitude, resolution, position and ringing). Using this approach, we evaluate three different EIT systems and illustrate the use of these tools to evaluate and compare performance. In order to facilitate the use of this approach, all details of the phantom, test objects and position controller design are made publicly available including the source code of the evaluation and reporting software.

Entities:  

Mesh:

Year:  2011        PMID: 21646713     DOI: 10.1088/0967-3334/32/7/S09

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


  9 in total

1.  Absolute Reconstructions Using Rotational Electrical Impedance Tomography for Breast Cancer Imaging.

Authors:  Ethan K Murphy; Aditya Mahara; Ryan J Halter
Journal:  IEEE Trans Med Imaging       Date:  2016-12-15       Impact factor: 10.048

2.  Scalp-Mounted Electrical Impedance Tomography of Cerebral Hemodynamics.

Authors:  Taweechai Ouypornkochagorn; Nataša Terzija; Paul Wright; John L Davidson; Nick Polydorides; Hugh McCann
Journal:  IEEE Sens J       Date:  2022-01-21       Impact factor: 4.325

3.  Functional validation and comparison framework for EIT lung imaging.

Authors:  Bartłomiej Grychtol; Gunnar Elke; Patrick Meybohm; Norbert Weiler; Inéz Frerichs; Andy Adler
Journal:  PLoS One       Date:  2014-08-11       Impact factor: 3.240

4.  Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the TRanslational EIT developmeNt stuDy group.

Authors:  Inéz Frerichs; Marcelo B P Amato; Anton H van Kaam; David G Tingay; Zhanqi Zhao; Bartłomiej Grychtol; Marc Bodenstein; Hervé Gagnon; Stephan H Böhm; Eckhard Teschner; Ola Stenqvist; Tommaso Mauri; Vinicius Torsani; Luigi Camporota; Andreas Schibler; Gerhard K Wolf; Diederik Gommers; Steffen Leonhardt; Andy Adler
Journal:  Thorax       Date:  2016-09-05       Impact factor: 9.139

Review 5.  Electrical impedance tomography in perioperative medicine: careful respiratory monitoring for tailored interventions.

Authors:  Elena Spinelli; Tommaso Mauri; Alberto Fogagnolo; Gaetano Scaramuzzo; Annalisa Rundo; Domenico Luca Grieco; Giacomo Grasselli; Carlo Alberto Volta; Savino Spadaro
Journal:  BMC Anesthesiol       Date:  2019-08-07       Impact factor: 2.217

6.  An open-source and easily replicable hardware for Electrical Impedance Tomography.

Authors:  B Brazey; Y Haddab; N Zemiti; F Mailly; P Nouet
Journal:  HardwareX       Date:  2022-02-10

7.  Accurate D-bar Reconstructions of Conductivity Images Based on a Method of Moment with Sinc Basis.

Authors:  Mahdi Abbasi
Journal:  J Med Signals Sens       Date:  2014-01

8.  A novel 3D-printed head phantom with anatomically realistic geometry and continuously varying skull resistivity distribution for electrical impedance tomography.

Authors:  Jie Zhang; Bin Yang; Haoting Li; Feng Fu; Xuetao Shi; Xiuzhen Dong; Meng Dai
Journal:  Sci Rep       Date:  2017-07-04       Impact factor: 4.379

9.  A Quantitative Evaluation of Drive Pattern Selection for Optimizing EIT-Based Stretchable Sensors.

Authors:  Stefania Russo; Samia Nefti-Meziani; Nicola Carbonaro; Alessandro Tognetti
Journal:  Sensors (Basel)       Date:  2017-08-31       Impact factor: 3.576

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.