@InProceedings{AntonioEstebanLansaque2016,
author="Antonio Esteban Lansaque
and Carles Sanchez
and Agnes Borras
and Marta Diez-Ferrer
and Antoni Rosell
and Debora Gil",
title="Stable Anatomical Structure Tracking for video-bronchoscopy Navigation",
booktitle="19th International Conference on Medical Image Computing and Computer Assisted Intervention Workshops",
year="2016",
optkeywords="Lung cancer diagnosis",
optkeywords="video-bronchoscopy",
optkeywords="airway lumen detection",
optkeywords="region tracking",
abstract="Bronchoscopy allows to examine the patient airways for detection of lesions and sampling of tissues without surgery. A main drawback in lung cancer diagnosis is the diculty to check whether the exploration is following the correct path to the nodule that has to be biopsied. The most extended guidance uses uoroscopy which implies repeated radiation of clinical sta and patients. Alternatives such as virtual bronchoscopy or electromagnetic navigation are very expensive and not completely robust to blood, mocus or deformations as to be extensively used. We propose a method that extracts and tracks stable lumen regions at dierent levels of the bronchial tree. The tracked regions are stored in a tree that encodes the anatomical structure of the scene which can be useful to retrieve the path to the lesion that the clinician should follow to do the biopsy. We present a multi-expert validation of our anatomical landmark extraction in 3 intra-operative ultrathin explorations.",
optnote="IAM; 600.075",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2857), last updated on Fri, 26 Feb 2021 14:21:59 +0100",
file=":http://refbase.cvc.uab.es/files/LSB2016b.pdf:PDF"
}