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Authors: Paolo Cabras and Jan Rosell

Affiliation: Universitat Politècnica de Catalunya, Spain

Keyword(s): Airway Segmentation, Path Planning, Bronchi Connection.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: Virtual Bronchoscopy (VB) permits the preplanning of operations concerning the airways and provides the necessary guidance to reach the pulmonary lesions. Fundamental for a good VB is the reconstruction of a 3D model of the airways from the CT images. Airway segmentation algorithms usually return the biggest detected volume connected to the trachea (the root tree), but many of them also reconstruct during the segmentation process, small parts not connected to the root tree. To overcome this problem this paper proposes a method, based on path planning techniques, that is able to connect the small isolated pieces of bronchi to the terminal points of the root airway tree, taking into account the growing direction of the branches and the gray values of the CT images. As a result, a more complete 3D model of the airways is obtained.

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Paper citation in several formats:
Cabras, P. and Rosell, J. (2013). Using Path Planning Techniques to Improve Airway Tree Segmentation from CT Images. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2013) - BIOSIGNALS; ISBN 978-989-8565-36-5; ISSN 2184-4305, SciTePress, pages 189-195. DOI: 10.5220/0004237101890195

@conference{biosignals13,
author={Paolo Cabras. and Jan Rosell.},
title={Using Path Planning Techniques to Improve Airway Tree Segmentation from CT Images},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2013) - BIOSIGNALS},
year={2013},
pages={189-195},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004237101890195},
isbn={978-989-8565-36-5},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2013) - BIOSIGNALS
TI - Using Path Planning Techniques to Improve Airway Tree Segmentation from CT Images
SN - 978-989-8565-36-5
IS - 2184-4305
AU - Cabras, P.
AU - Rosell, J.
PY - 2013
SP - 189
EP - 195
DO - 10.5220/0004237101890195
PB - SciTePress