Imaging of regional air distributions in porcine lungs using high-performance electrical impedance tomography system

التفاصيل البيبلوغرافية
العنوان: Imaging of regional air distributions in porcine lungs using high-performance electrical impedance tomography system
المؤلفون: Gee Young Suh, Y.B. Kim, G.Y. Jang, Eui-Jeon Woo, C.R. Chung, Hun Wi, Tong In Oh
المصدر: EMBC
بيانات النشر: IEEE, 2017.
سنة النشر: 2017
مصطلحات موضوعية: Mechanical ventilation, Pathology, medicine.medical_specialty, Lung, Swine, business.industry, medicine.medical_treatment, Continuous monitoring, respiratory system, respiratory tract diseases, Positive-Pressure Respiration, Functional imaging, medicine.anatomical_structure, Electric Impedance, Tidal Volume, Animals, Medicine, Tomography, business, Electrical impedance tomography, Positive end-expiratory pressure, Tidal volume, Biomedical engineering
الوصف: Electrical impedance tomography (EIT) allows functional imaging of regional lung ventilation for real-time bedside monitoring of mechanically ventilated patients. Images showing time-changes of regional air distributions in the lungs can provide valuable diagnostic information for lung protective mechanical ventilation. This paper reports in vivo porcine imaging experiments of regional lung ventilation using a 16-channel parallel EIT system. Real-time time-difference chest images of 10 animals were reconstructed during mechanical ventilations with a temporal resolution of 50 frame/s. Analyzing the images together with the airway volume-pressure information from the mechanical ventilator, we could successfully produce regional compliance images at PEEP (positive end expiratory pressure) titration. From in vivo animal experiments, we propose the method as a continuous monitoring means for LPV (lung protective ventilation).
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ca20e9f5fbabdefa6f4ab1eb7e10d86
https://doi.org/10.1109/embc.2017.8036834
رقم الأكسشن: edsair.doi.dedup.....4ca20e9f5fbabdefa6f4ab1eb7e10d86
قاعدة البيانات: OpenAIRE