Modeling, segmentation, and caliber estimation of bronchi in high-resolution computerized tomography

Francoise J. Preteux; Catalin Iulian Fetita; Philippe Grenier M.D.

doi:10.1117/12.279646

14 October 1997 Modeling, segmentation, and caliber estimation of bronchi in high-resolution computerized tomography

Francoise J. Preteux, Catalin Iulian Fetita, Philippe Grenier M.D.

Proceedings Volume 3167, Statistical and Stochastic Methods in Image Processing II; (1997) https://doi.org/10.1117/12.279646
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

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.

Citation Download Citation

Francoise J. Preteux, Catalin Iulian Fetita, and Philippe Grenier M.D. "Modeling, segmentation, and caliber estimation of bronchi in high-resolution computerized tomography", Proc. SPIE 3167, Statistical and Stochastic Methods in Image Processing II, (14 October 1997); https://doi.org/10.1117/12.279646

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