Journal ArticleDOI
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 Dössel,Matthew K. Fuld,Ahmed F. Halaweish,Eric A. Hoffman,Norbert Weiler,Inéz Frerichs +10 more
Reads0
Chats0
TLDR
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 is introduced and feasibility of electrical impedancetomography perfusion imaging is demonstrated.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.read more
Citations
More filters
Journal ArticleDOI
Unmatched ventilation and perfusion measured by electrical impedance tomography predicts the outcome of ARDS.
Elena Spinelli,Michael Kircher,Birgit Stender,Irene Ottaviani,Maria Cristina Basile,Ines Marongiu,Giulia Colussi,Giacomo Grasselli,Giacomo Grasselli,Antonio Pesenti,Antonio Pesenti,Tommaso Mauri,Tommaso Mauri +12 more
TL;DR: In this paper, the authors quantify unmatched ventilation and perfusion at the bedside by electrical impedance tomography (EIT) investigating their association with mortality in patients with acute respiratory distress syndrome (ARDS) and explore the effects of positive end-expiratory pressure (PEEP) on unmatched ventilation.
Journal ArticleDOI
Exploring Respiratory Motion Tracking Through Electrical Impedance Tomography
Qi Wang,Jianming Wang,Xiuyan Li,Xiaojie Duan,Ronghua Zhang,Hong Zhang,Yanhe Ma,Huaxiang Wang,Jiabin Jia +8 more
TL;DR: In this article, a modified TV algorithm was used for the estimation of lung volume and movement based on 3D EIT images, which improved the quality of reconstruction by approximately 30% and 20% compared with the traditional Tikhonov method and the total variation (TV) method, respectively.
Journal ArticleDOI
Lung Perfusion Assessment by Bedside Electrical Impedance Tomography in Critically Ill Patients.
Mengru Xu,Huaiwu He,Yun Long +2 more
TL;DR: In this paper, an overview of experimental and clinical studies with the aim of clarifying the progress made in the use of the saline bolus EIT method is provided, and a consensus must be reached regarding the clinical application of the SBC method.
Journal ArticleDOI
Target Adaptive Differential Iterative Reconstruction (TADI): A Robust Algorithm for Real-Time Electrical Impedance Tomography
Weirui Zhang,Tao Zhang,Xuechao Liu,Bin Yang,Meng Dai,Xuetao Shi,Xiuzhen Dong,Feng Fu,Canhua Xu +8 more
TL;DR: A robust EIT target adaptive differential iterative reconstruction algorithm that does not require the advance selection of the optimal regularization parameter to facilitate the clinical application of EIT long-term bedside monitoring is proposed in this article.
Journal ArticleDOI
Advances in electrical impedance tomography and bioimpedance including applications in COVID-19 diagnosis and treatment
TL;DR: The recent focus collection of articles published by the journal PhysiologicalMeasurement introduces the latest advances in electrical impedance tomography (EIT) research and shows that EIT is still relevant to improving screening and diagnosis in awide range of clinical conditions.
References
More filters
Journal ArticleDOI
Least squares quantization in PCM
TL;DR: In this article, the authors derived necessary conditions for any finite number of quanta and associated quantization intervals of an optimum finite quantization scheme to achieve minimum average quantization noise power.
Least Squares Quantization in PCM
TL;DR: The corresponding result for any finite number of quanta is derived; that is, necessary conditions are found that the quanta and associated quantization intervals of an optimum finite quantization scheme must satisfy.
Journal ArticleDOI
User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability
Paul A. Yushkevich,Joseph Piven,Heather C. Hazlett,Rachel Gimpel Smith,Sean Ho,James C. Gee,Guido Gerig +6 more
TL;DR: The methods and software engineering philosophy behind this new tool, ITK-SNAP, are described and the results of validation experiments performed in the context of an ongoing child autism neuroimaging study are provided, finding that SNAP is a highly reliable and efficient alternative to manual tracing.
Journal ArticleDOI
The use of the L-curve in the regularization of discrete ill-posed problems
TL;DR: A unifying characterization of various regularization methods is given and it is shown that the measurement of “size” is dependent on the particular regularization method chosen, and a new method is proposed for choosing the regularization parameter based on the L-curve.
Journal ArticleDOI
Uses and abuses of EIDORS: an extensible software base for EIT
TL;DR: Recent work to redesign the EIDORS software structure in order to simplify its use and provide a uniform interface, permitting easier modification and customization is described.