Results of Applying Two-Pass Region Growing Algorithm for Airway Tree Segmentation to MDCT Chest Scans from EXACT Database
نویسنده
چکیده
This paper addresses problem of CT based investigation of pulmonary airways. Especially algorithm for airway tree segmentation is introduced. The algorithm is based on 3D seeded region growing. In the proposed method region growing is repeated twice with different settings. First, in order to avoid leakages into the lungs, algorithm is performed with very strict criteria. Next it works only in the places of interest which are found by morphological gradient and threshold. Results of applying the proposed method to several CT chest scans selected randomly from EXACT database are presented and discussed. Moreover comparision with the ground truths, provided by EXACT organisers, is given by means of the evaluation measures.
منابع مشابه
Segmentation of the Airway Tree from Chest CT using Local Volume of Interest
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