Logo image
Regional Lung Perfusion Analysis in Experimental ARDS by Electrical Impedance and Computed Tomography
Journal article   Peer reviewed

Regional Lung Perfusion Analysis in Experimental ARDS by Electrical Impedance and Computed Tomography

Michael Kircher, Gunnar Elke, Birgit Stender, Maria Hernandez Mesa, Felix Schuderer, Olaf Doessel, Matthew K. Fuld, Ahmed F. Halaweish, Eric A. Hoffman, Norbert Weiler, …
IEEE transactions on medical imaging, Vol.40(1), pp.251-261
01/01/2021
DOI: 10.1109/TMI.2020.3025080
PMID: 32956046

View Online

Abstract

Electrical impedance tomography is clinically used to trace ventilation related changes in electrical conductivity of lung tissue. Estimating regional pulmonary perfusion using electrical impedance tomography is still a matter of research. To support clinical decision making, reliable bedside information of pulmonary perfusion is needed. We introduce a method to robustly detect pulmonary perfusion based on indicator-enhanced electrical impedance tomography and validate it by dynamic multidetector computed tomography in two experimental models of acute respiratory distress syndrome. The acute injury was induced in a sublobar segment of the right lung by saline lavage or endotoxin instillation in eight anesthetized mechanically ventilated pigs. For electrical impedance tomography measurements, a conductive bolus (10% saline solution) was injected into the right ventricle during breath hold. Electrical impedance tomography perfusion images were reconstructed by linear and normalized Gauss-Newton reconstruction on a finite element mesh with subsequent element-wise signal and feature analysis. An iodinated contrast agent was used to compute pulmonary blood flow via dynamic multidetector computed tomography. Spatial perfusion was estimated based on first-pass indicator dilution for both electrical impedance and multidetector computed tomography and compared by Pearson correlation and Bland-Altman analysis. Strong correlation was found in dorsoventral (r = 0.92) and in right-to-left directions (r = 0.85) with good limits of agreement of 8.74% in eight lung segments. With a robust electrical impedance tomography perfusion estimation method, we found strong agreement between multidetector computed and electrical impedance tomography perfusion in healthy and regionally injured lungs and demonstrated feasibility of electrical impedance tomography perfusion imaging.
Computer Science Computer Science, Interdisciplinary Applications Engineering Engineering, Biomedical Engineering, Electrical & Electronic Imaging Science & Photographic Technology Life Sciences & Biomedicine Radiology, Nuclear Medicine & Medical Imaging Science & Technology Technology

Details

Logo image