Conference Paper

Assessment of Intrathoracic Airway Trees: Methods and In Vivo Validation.

DOI: 10.1007/978-3-540-27816-0_29 In proceeding of: Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis, ECCV 2004 Workshops CVAMIA and MMBIA, Prague, Czech Republic, May 15, 2004, Revised Selected Papers
Source: DBLP

ABSTRACT A method for quantitative assessment of tree structures is reported allowing evaluation of airway tree morphology and its
associated function. Our skeletonization and branch–point identification method provides a basis for tree quantification or
tree matching, tree–branch diameter measurement in any orientation, and labeling individual branch segments. All main components
of our method were specifically developed to deal with imaging artifacts typically present in volumetric medical image data.
The proposed method has been tested in a computer phantom subjected to changes of its orientation as well as in repeatedly
CT-scanned rigid and rubber plastic phantoms. In this paper, validation is reported in six in vivo scans of the human chest.

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