2019
DOI: 10.1088/1742-6596/1248/1/012009
|View full text |Cite
|
Sign up to set email alerts
|

Sensitivity analysis of thorax imaging using two-dimensional Electrical Impedance Tomography (EIT)

Abstract: Electrical Impedance Tomography (EIT) is a non-invasive medical imaging technique which estimates the electrical impedance distribution within some tissue. The study aimed to assess the performance of the EIT system in a thorax imaging by analysis of sensitivity distribution. Sensitivity distribution was visualized using COMSOL Multiphysics simulation in a human thorax represented as an elliptic cylinder phantom consisting of homogeneous and inhomogeneous medium with varying different dimensions of 16 electrod… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
2
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 3 publications
0
2
0
Order By: Relevance
“…Therefore, the most common protective ventilation strategy is to reduce lung injury by setting a reasonable PEEP (positive end-expiratory pressure) value (Guerin, 2011;Brabant et al, 2019). As a noninvasive medical imaging technology, EIT can monitor the air distribution of mechanical ventilation in real time by imaging the cross section of thoracic cavity (Blankman and Gommers, 2012;Andiani et al, 2019). At the same time, EIT can distinguish the area of collapse and transitional expansion (Bikker et al, 2010;Bikker et al, 2011).…”
Section: Pulmonary Ventilation Monitoringmentioning
confidence: 99%
“…Therefore, the most common protective ventilation strategy is to reduce lung injury by setting a reasonable PEEP (positive end-expiratory pressure) value (Guerin, 2011;Brabant et al, 2019). As a noninvasive medical imaging technology, EIT can monitor the air distribution of mechanical ventilation in real time by imaging the cross section of thoracic cavity (Blankman and Gommers, 2012;Andiani et al, 2019). At the same time, EIT can distinguish the area of collapse and transitional expansion (Bikker et al, 2010;Bikker et al, 2011).…”
Section: Pulmonary Ventilation Monitoringmentioning
confidence: 99%
“…The investigations of EIT in the field of the respiratory system can be divided into two: Pathology Oriented: These works employ EIT systems previously developed by other researchers or commercial systems and focus on in-vivo applications. In[50]-[56] for example, pulmonary ventilation under anesthesia, mechanical ventilation, embolism and pulmonary edema detection are analyzed and monitored in animals, to evaluate and monitor the pathology under analysis. This is then brought over to human applications.…”
mentioning
confidence: 99%