Literature DB >> 22532291

A review on electrical impedance tomography for pulmonary perfusion imaging.

D T Nguyen1, C Jin, A Thiagalingam, A L McEwan.   

Abstract

Although electrical impedance tomography (EIT) for ventilation monitoring is on the verge of clinical trials, pulmonary perfusion imaging with EIT remains a challenge, especially in spontaneously breathing subjects. In anticipation of more research on this subject, we believe a thorough review is called for. In this paper, findings related to the physiological origins and electrical characteristics of this signal are summarized, highlighting properties that are particularly relevant to EIT. The perfusion impedance change signal is significantly smaller in amplitude compared with the changes due to ventilation. Therefore, the hardware used for this purpose must be more sensitive and more resilient to noise. In previous works, some signal- or image-processing methods have been required to separate these two signals. Three different techniques are reviewed in this paper, including the ECG-gating method, frequency-domain-filtering-based methods and a principal-component-analysis-based method. In addition, we review a number of experimental studies on both human and animal subjects that employed EIT for perfusion imaging, with promising results in the diagnosis of pulmonary embolism (PE) and pulmonary arterial hypertension as well as other potential applications. In our opinion, PE is most likely to become the main focus for perfusion EIT in the future, especially for heavily instrumented patients in the intensive care unit (ICU).

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Year:  2012        PMID: 22532291     DOI: 10.1088/0967-3334/33/5/695

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


  16 in total

1.  Application of internal electrodes to the oesophageal and tracheal tube in an animal trial: evaluation of its clinical and technical potentiality in electrical impedance tomography.

Authors:  Michael Czaplik; Christoph Hoog Antink; Rolf Rossaint; Steffen Leonhardt
Journal:  J Clin Monit Comput       Date:  2013-11-27       Impact factor: 2.502

2.  Mapping Electrical Impedance Spectra of the Healthy Oral Mucosa: a Pilot Study.

Authors:  Ivica Richter; Ivan Alajbeg; Vanja Vučićević Boras; Ana Andabak Rogulj; Vlaho Brailo
Journal:  Acta Stomatol Croat       Date:  2015-12

3.  DYNAMIC OPTIMIZED PRIORS FOR D-BAR RECONSTRUCTIONS OF HUMAN VENTILATION USING ELECTRICAL IMPEDANCE TOMOGRAPHY.

Authors:  Melody Alsaker; Jennifer L Mueller; Rashmi Murthy
Journal:  J Comput Appl Math       Date:  2018-08-13       Impact factor: 2.621

4.  A Three Dimensional Calderon-Based Method for EIT on the Cylindrical Geometry.

Authors:  Kwancheol Shin; Sanwar Uddin Ahmad; Jennifer L Mueller
Journal:  IEEE Trans Biomed Eng       Date:  2021-04-21       Impact factor: 4.538

5.  Reconstruction of Organ Boundaries With Deep Learning in the D-Bar Method for Electrical Impedance Tomography.

Authors:  Michael Capps; Jennifer L Mueller
Journal:  IEEE Trans Biomed Eng       Date:  2021-02-18       Impact factor: 4.538

6.  Direct observation of unstained biological specimens in water by the frequency transmission electric-field method using SEM.

Authors:  Toshihiko Ogura
Journal:  PLoS One       Date:  2014-03-20       Impact factor: 3.240

Review 7.  Role of electrical impedance tomography in clinical practice in pediatric respiratory medicine.

Authors:  Wojciech Durlak; Przemko Kwinta
Journal:  ISRN Pediatr       Date:  2013-12-25

8.  Complementary use of priors for pulmonary imaging with electrical impedance and ultrasound computed tomography.

Authors:  Melody Alsaker; Diego Armando Cardona Cárdenas; Sérgio Shiguemi Furuie; Jennifer L Mueller
Journal:  J Comput Appl Math       Date:  2021-04-20       Impact factor: 2.872

9.  Effect of Electrode Belt and Body Positions on Regional Pulmonary Ventilation- and Perfusion-Related Impedance Changes Measured by Electric Impedance Tomography.

Authors:  Elin Ericsson; Erik Tesselaar; Folke Sjöberg
Journal:  PLoS One       Date:  2016-06-02       Impact factor: 3.240

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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