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Proceedings Paper

Three-dimensional reconstruction of human bronchial tree in HRCT
Author(s): Catalin Iulian Fetita; Francoise J. Preteux
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Paper Abstract

This paper addresses the issue of 3-D human bronchial tree reconstruction from 2-D segmented slices. The 2-D gray-level slices to be segmented are reconstructed from volumetric data acquired by using a high resolution computerized tomography (HRCT) system operating in spiral mode. The proposed 3-D reconstruction technique consists in three major steps: (1) a fully-automated 2-D segmentation of bronchi performed on each slice and based on mathematical morphology theory; (2) a 3-D oriented and multivalued structure construction characterizing the 3-D topology of the segmented volume and a 3-D oriented propagation based on this structure; and (3) the 3-D reconstruction by using a 3-D mesh technique. Results are presented and discussed.

Paper Details

Date Published: 5 March 1999
PDF: 14 pages
Proc. SPIE 3646, Nonlinear Image Processing X, (5 March 1999); doi: 10.1117/12.341094
Show Author Affiliations
Catalin Iulian Fetita, Institut National des Telecommunications (France)
Francoise J. Preteux, Institut National des Telecommunications (France)


Published in SPIE Proceedings Vol. 3646:
Nonlinear Image Processing X
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

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