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Proceedings Paper

Modeling, segmentation, and caliber estimation of bronchi in high-resolution computerized tomography
Author(s): Francoise J. Preteux; Catalin Iulian Fetita; Philippe Grenier
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Paper Abstract

In this paper, we address bronchi segmentation in high resolution computerized tomography in order to estimate the bronchial caliber. The method developed is based on mathematical morphology theory, and relies on morphological filtering, marking techniques derived from the concept of connection cost, and conditional watershed. In order to evaluate the robustness of the segmentation and the accuracy of the caliber estimates, a realistic bronchi modeling based on physiological characteristics has been developed. According to the size of the bronchi, the accuracy is up to 90%. Results are presented and discussed.

Paper Details

Date Published: 14 October 1997
PDF: 12 pages
Proc. SPIE 3167, Statistical and Stochastic Methods in Image Processing II, (14 October 1997); doi: 10.1117/12.279646
Show Author Affiliations
Francoise J. Preteux, Institut National des Telecommunications (France)
Catalin Iulian Fetita, Institut National Telecommunications (France)
Philippe Grenier, Hopital de la Salpetriere (France)


Published in SPIE Proceedings Vol. 3167:
Statistical and Stochastic Methods in Image Processing II
Francoise J. Preteux; Jennifer L. Davidson; Edward R. Dougherty, Editor(s)

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