Share Email Print

Proceedings Paper

Topological leakage detection and freeze-and-grow propagation for improved CT-based airway segmentation
Author(s): Syed Ahmed Nadeem; Eric A. Hoffman; Jered P. Sieren; Punam K. Saha
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Numerous large multi-center studies are incorporating the use of computed tomography (CT)-based characterization of the lung parenchyma and bronchial tree to understand chronic obstructive pulmonary disease status and progression. To the best of our knowledge, there are no fully automated airway tree segmentation methods, free of the need for user review. A failure in even a fraction of segmentation results necessitates manual revision of all segmentation masks which is laborious considering the thousands of image data sets evaluated in large studies. In this paper, we present a novel CT-based airway tree segmentation algorithm using topological leakage detection and freeze-and-grow propagation. The method is fully automated requiring no manual inputs or post-segmentation editing. It uses simple intensity-based connectivity and a freeze-and-grow propagation algorithm to iteratively grow the airway tree starting from an initial seed inside the trachea. It begins with a conservative parameter and then, gradually shifts toward more generous parameter values. The method was applied on chest CT scans of fifteen subjects at total lung capacity. Airway segmentation results were qualitatively assessed and performed comparably to established airway segmentation method with no major visual leakages.

Paper Details

Date Published: 2 March 2018
PDF: 11 pages
Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 105741A (2 March 2018); doi: 10.1117/12.2293309
Show Author Affiliations
Syed Ahmed Nadeem, The Univ. of Iowa (United States)
Eric A. Hoffman, The Univ. of Iowa (United States)
Jered P. Sieren, VIDA Diagnostics, Inc. (United States)
Punam K. Saha, The Univ. of Iowa (United States)

Published in SPIE Proceedings Vol. 10574:
Medical Imaging 2018: Image Processing
Elsa D. Angelini; Bennett A. Landman, Editor(s)

© SPIE. Terms of Use
Back to Top