6533b7d6fe1ef96bd1266277

RESEARCH PRODUCT

An edge-driven 3D region growing approach for upper airways morphology and volume evaluation in patients with Pierre Robin sequence

C. MilitelloSalvatore VitabileL. RundoGagliardo C.Sergio Salerno

subject

3d region growing edge driven segmentation airway segmentation

description

In this paper, a semi-automatic approach for segmentation of the upper airways is proposed. The implemented approach uses an edge-driven 3D region-growing algorithm to segment ROIs and 3D volume-rendering technique to reconstruct the 3D model of the upper airways. This method can be used to integrate information inside a medical decision support system, making it possible to enhance medical evaluation. The effectiveness of the proposed segmentation approach was evaluated using Jaccard (92.1733%) and dice (94.6441%) similarity indices and specificity (96.8895%) and sensitivity (97.6682%) rates. The proposed method achieved an average computation time reduced by a 16x factor with respect to manual segmentation.

yearjournalcountryeditionlanguage
2016-01-28
http://hdl.handle.net/10447/167220