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Abstract #4610

Automated Airway Lumen Segmentation and Characterization for Use in Patients with Traqueomalacya: A Feasibility Study

Piotr Alfred Wielopolski1, Pierluigi Ciet2, Gabriel Paul Krestin1, Martin H. Lequin1, Harm Tiddens3, Rashindra Manniesing4

1Radiology, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands; 2Department of Medical-Diagnostic Sciences and Therapies, Policlinico Universitario di Padova, Padova, Italy; 3Department of Pulmonology, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands; 4Department of Informatics and Radiology, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands


The purpose of this work was to provide: first, a suitable acquisition scenario including 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 and, secondly, to provide the means for an automatic analysis program suitable to segment the airway lumen and a dynamic evaluation of cross-sectional areas of the central airways down to the 2nd generation branching.

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