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

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Abstract

In this paper, a semi-automatic approach for segmentation of the upper airways isproposed. 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.
Original languageEnglish
Number of pages22
JournalINTERNATIONAL JOURNAL OF ADAPTIVE AND INNOVATIVE SYSTEMS
Publication statusPublished - 2016

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