Abstract
In this paper a new approach to CT based investigation of pulmonary airways is introduced. Especially a new - fully automated algorithm for airway tree segmentation is proposed. The algorithm is based on 3D seeded region growing. However in opposite to traditional approaches region growing is applied twice: firstly – for detecting main bronchi, secondly – for localizing low order parts of the airway tree. The growth of distal parts of the airway tree is driven by a map constructed on the basis of morphological gradient.
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Fabijańska, A., Janaszewski, M., Postolski, M., Babout, L. (2009). Airway Tree Segmentation from CT Scans Using Gradient-Guided 3D Region Growing. In: Bayro-Corrochano, E., Eklundh, JO. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2009. Lecture Notes in Computer Science, vol 5856. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10268-4_29
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DOI: https://doi.org/10.1007/978-3-642-10268-4_29
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