
Advanced Meshing and Rotating Radial Current Injection Pattern for Enhanced 3D Lung Electrical Impedance Tomography
Oumaima Bader(Author)
Universitätsverlag Chemnitz
Published on 21. February 2026
Book
Paperback/Softback
244 pages
978-3-96100-306-8 (ISBN)
Description
Electrical Impedance Tomography (EIT) is a non-invasive, radiation-free imaging technique that enables continuous bedside monitoring of lung function through surface electrode measurements. Despite its suitability for real-time observation of respiratory dynamics, EIT is limited by low spatial resolution, uneven sensitivity distribution, and simplified 2D reconstruction models that inadequately represent 3D current propagation in thoracic tissues. This dissertation advances EIT toward volumetric lung imaging by combining anatomically refined 3D modeling with highly sensitive current injection pattern. Two biomimetic 3D finite-element thoracic mesh models are developed and validated. The first incorporates anatomically distinct tissues, including skin, fat, muscle, lungs, and pathological anomalies, enabling analysis of sensitivity and detectability. The second mesh is optimized for forward modeling and image reconstruction, ensuring numerical stability. A novel Rotating Radial (RR) current injection pattern is introduced to enhance current penetration depth and sensitivity to lung anomalies. Using 16-electrodes, eight electrode pairs are injecting per step, strategically placed according to thoracic anatomy, the RR pattern enhances current penetration within the thorax. Simulation and phantom experiments demonstrate superior performance compared to common patterns, achieving higher sensitivity, signal-to-noise ratios, and localization of lung nodules down to 3 cm in diameter.
More details
Series
Thesis
Doctoral thesis
2025
Technische Universität Chemnitz
Language
English
Place of publication
Chemnitz
Germany
Target group
Professional and scholarly
Illustrations
Illustrationen, Diagramme
Dimensions
Height: 21 cm
Width: 14.8 cm
Weight
359 gr
ISBN-13
978-3-96100-306-8 (9783961003068)
Schweitzer Classification