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

Françoise J. Prêteux, Catalin I. Fetita, Philippe Grenier

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish
Pages (from-to)58-69
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3167
DOIs
Publication statusPublished - 1 Dec 1997
Externally publishedYes
EventStatistical and Stochastic Methods in Image Processing II - San Diego, CA, United States
Duration: 31 Jul 199731 Jul 1997

Keywords

  • Bronchi caliber
  • Bronchi modeling
  • Connection cost-based segmentation
  • HRCT images
  • Mathematical morphology

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