Assessing the regional blood flow within the lung potentially helps to identify and treat pulmonary diseases and might support mechanical ventilation. Especially for guiding mechanical ventilation, bedside monitoring of both regional ventilation and pulmonary perfusion is desirable. Electrical Impedance Tomography (EIT) is a non- invasive imaging modality providing functional images of relative impedance changes induced by regional ventilation and blood volume changes, so-called cardiac induced impedance changes.
In this project, new signal processing methods shall be developed and implemented to further investigate pulmonary perfusion by means of the Electrical Impedance Tomography (EIT). The work includes the reconstruction of the EIT measurements to visualize cardiac related conductivity changes within the body and signal processing to understand, visualize and improve clinical and physiological hemodynamic parameters.
1st place in student competition, German Society for Biomedical Engineering (DGBMT) annual conference 2020, Online
Xenia Augustin, Michael Kircher
„Estimating regional pulmonary blood flow in EIT with regularized deconvolution with a Tikhonov regularization”
Best Paper Award, Workshop Biosignalverarbeitung 2020, Kiel, Deutschland
M. Kircher, F. Schuderer, B. Stender, T. Bluth, M. Gama de Abreu, O. Dössel
Submitted Paper: Nonlinear and Piecewise Fitting of Indicator-Enhanced EIT signals: Comparison of Methods
Best student paper award, 19. International Conference on Biomedical Applications of EIT, Edinburgh, United Kingdom
M. Kircher, A. Braune, T. Bluth, M. Gama de Abreu, O. Dössel, B. Stender
Submitted paper: Method for comparing pulmonary perfusion measured by PET/CT and indicator based EIT measurements in a porcine model
1st place in student competition, DGBMT and DGMP annual conference 2017, Dresden,
A. Noshadi, M. Kircher, S. Pollnow, G. Elke, I. Frerichs and O. Dössel
Submitted paper: Automatic lung segmentation in the presence of alveolar collapse.