Integrated EIT system for functional lung ventilation imaging
Abstract Background Electrical impedance tomography (EIT) has been used for functional lung imaging of regional air distributions during mechanical ventilation in intensive care units (ICU). From numerous clinical and animal studies focusing on specific lung functions, a consensus about how to use t...
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| Format: | Article |
| Language: | English |
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BMC
2019-07-01
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| Series: | BioMedical Engineering OnLine |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12938-019-0701-y |
| _version_ | 1798044207726723072 |
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| author | Geuk Young Jang Ghazal Ayoub Young Eun Kim Tong In Oh Chi Ryang Chung Gee Young Suh Eung Je Woo |
| author_facet | Geuk Young Jang Ghazal Ayoub Young Eun Kim Tong In Oh Chi Ryang Chung Gee Young Suh Eung Je Woo |
| author_sort | Geuk Young Jang |
| collection | DOAJ |
| description | Abstract Background Electrical impedance tomography (EIT) has been used for functional lung imaging of regional air distributions during mechanical ventilation in intensive care units (ICU). From numerous clinical and animal studies focusing on specific lung functions, a consensus about how to use the EIT technique has been formed lately. We present an integrated EIT system implementing the functions proposed in the consensus. The integrated EIT system could improve the usefulness when monitoring of mechanical ventilation for lung protection so that it could facilitate the clinical acceptance of this new technique. Methods Using a custom-designed 16-channel EIT system with 50 frames/s temporal resolution, the integrated EIT system software was developed to implement five functional images and six EIT measures that can be observed in real-time screen view and analysis screen view mode, respectively. We evaluated the performance of the integrated EIT system with ten mechanically ventilated porcine subjects in normal and disease models. Results Quantitative and simultaneous imaging of tidal volume (TV), end-expiratory lung volume change ($$\triangle$$ ▵ EELV), compliance, ventilation delay, and overdistension/collapse images were performed. Clinically useful parameters were successfully extracted including anterior/posterior ventilation ratio (A/P ratio), center of ventilation ($${\mathrm{CoV}}_{{x}}$$ CoVx , $${\mathrm{CoV}}_{{y}}$$ CoVy ), global inhomogeneity (GI), coefficient of variation (CV), ventilation delay and percentile of overdistension/collapse. The integrated EIT system was demonstrated to suggest an optimal positive end-expiratory pressure (PEEP) for lung protective ventilation in normal and in the disease model of an acute injury. Optimal PEEP for normal and disease model was 2.3 and $$7.9 \, {\mathrm{cmH}}_{2}\mathrm{O}$$ 7.9cmH2O , respectively. Conclusions The proposed integrated approach for functional lung ventilation imaging could facilitate clinical acceptance of the bedside EIT imaging method in ICU. Future clinical studies of applying the proposed methods to human subjects are needed to show the clinical significance of the method for lung protective mechanical ventilation and mechanical ventilator weaning in ICU. |
| first_indexed | 2024-04-11T22:59:59Z |
| format | Article |
| id | doaj.art-f29a1bf51ee54a6abc2ff973e99e7846 |
| institution | Directory Open Access Journal |
| issn | 1475-925X |
| language | English |
| last_indexed | 2024-04-11T22:59:59Z |
| publishDate | 2019-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BioMedical Engineering OnLine |
| spelling | doaj.art-f29a1bf51ee54a6abc2ff973e99e78462022-12-22T03:58:14ZengBMCBioMedical Engineering OnLine1475-925X2019-07-0118111810.1186/s12938-019-0701-yIntegrated EIT system for functional lung ventilation imagingGeuk Young Jang0Ghazal Ayoub1Young Eun Kim2Tong In Oh3Chi Ryang Chung4Gee Young Suh5Eung Je Woo6Department of Biomedical Engineering, Graduate School, Kyung Hee UniversityDepartment of Biomedical Engineering, Graduate School, Kyung Hee UniversityDepartment of Biomedical Engineering, College of Medicine, Kyung Hee UniversityDepartment of Biomedical Engineering, College of Medicine, Kyung Hee UniversityDepartment of Critical Care Medicine, Samsung Medical Center, Sungkyunkwan University School of MedicineDepartment of Critical Care Medicine, Samsung Medical Center, Sungkyunkwan University School of MedicineDepartment of Biomedical Engineering, College of Medicine, Kyung Hee UniversityAbstract Background Electrical impedance tomography (EIT) has been used for functional lung imaging of regional air distributions during mechanical ventilation in intensive care units (ICU). From numerous clinical and animal studies focusing on specific lung functions, a consensus about how to use the EIT technique has been formed lately. We present an integrated EIT system implementing the functions proposed in the consensus. The integrated EIT system could improve the usefulness when monitoring of mechanical ventilation for lung protection so that it could facilitate the clinical acceptance of this new technique. Methods Using a custom-designed 16-channel EIT system with 50 frames/s temporal resolution, the integrated EIT system software was developed to implement five functional images and six EIT measures that can be observed in real-time screen view and analysis screen view mode, respectively. We evaluated the performance of the integrated EIT system with ten mechanically ventilated porcine subjects in normal and disease models. Results Quantitative and simultaneous imaging of tidal volume (TV), end-expiratory lung volume change ($$\triangle$$ ▵ EELV), compliance, ventilation delay, and overdistension/collapse images were performed. Clinically useful parameters were successfully extracted including anterior/posterior ventilation ratio (A/P ratio), center of ventilation ($${\mathrm{CoV}}_{{x}}$$ CoVx , $${\mathrm{CoV}}_{{y}}$$ CoVy ), global inhomogeneity (GI), coefficient of variation (CV), ventilation delay and percentile of overdistension/collapse. The integrated EIT system was demonstrated to suggest an optimal positive end-expiratory pressure (PEEP) for lung protective ventilation in normal and in the disease model of an acute injury. Optimal PEEP for normal and disease model was 2.3 and $$7.9 \, {\mathrm{cmH}}_{2}\mathrm{O}$$ 7.9cmH2O , respectively. Conclusions The proposed integrated approach for functional lung ventilation imaging could facilitate clinical acceptance of the bedside EIT imaging method in ICU. Future clinical studies of applying the proposed methods to human subjects are needed to show the clinical significance of the method for lung protective mechanical ventilation and mechanical ventilator weaning in ICU.http://link.springer.com/article/10.1186/s12938-019-0701-yElectrical impedance tomographyFunctional lung ventilation imagingMechanical ventilationIntegrated approachReal-time bedside imaging |
| spellingShingle | Geuk Young Jang Ghazal Ayoub Young Eun Kim Tong In Oh Chi Ryang Chung Gee Young Suh Eung Je Woo Integrated EIT system for functional lung ventilation imaging BioMedical Engineering OnLine Electrical impedance tomography Functional lung ventilation imaging Mechanical ventilation Integrated approach Real-time bedside imaging |
| title | Integrated EIT system for functional lung ventilation imaging |
| title_full | Integrated EIT system for functional lung ventilation imaging |
| title_fullStr | Integrated EIT system for functional lung ventilation imaging |
| title_full_unstemmed | Integrated EIT system for functional lung ventilation imaging |
| title_short | Integrated EIT system for functional lung ventilation imaging |
| title_sort | integrated eit system for functional lung ventilation imaging |
| topic | Electrical impedance tomography Functional lung ventilation imaging Mechanical ventilation Integrated approach Real-time bedside imaging |
| url | http://link.springer.com/article/10.1186/s12938-019-0701-y |
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