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Abstract #3035

Automated Airway Lumen Segmentation & Characterization in Patients with Tracheomalacia: A Feasibility Study

Piotr A. Wielopolski1, Pierluigi Ciet2,3, Rashindra Manniesing4, Sandra Lever2, Martin Lequin1, Gabriel Krestin1, Harm A. W. M. Tiddens1,2

1Radiology, Erasmus Medical Center, Rotterdam, Netherlands; 2Pulmonology, Erasmus Medical Center, Sophia Children Hospital, Rotterdam, Netherlands; 3Radiology, Department of Medical-Diagnostic Sciences & Therapies, University of Padua, Padua, Italy; 4Department of Informatics & Radiology, Erasmus Medical Center, Rotterdam, Netherlands

Tracheomalacia is an excessive narrowing of the intra-thoracic part of the trachea such that the airway is softer and more susceptible to collapse. We demonstrate a suitable acquisition scenario using static and dynamic 3D MRI sequences with sufficient temporal and spatial resolution to provide good morphological information and visualization of dynamic events in the central airways. We evaluate a segmentation and dynamic analysis tool to compute the cross-sectional areas of the central airways down to the 2nd generation branching and detect airway narrowing during the respiratory manouvers. We conclude that cine-MRI is a feasible non-invasive radiation free alternative for bronchoscopy.