NDLI: A new processing sequence to assess airways using 3D CT-scan

Content Provider	IEEE Xplore Digital Library
Author	Balacey, H. Dournes, G. Desbarats, P. Montaudon, M. Domenger, J.-P. Laurent, F.
Copyright Year	2013
Description	Author affiliation: Dept. of Thoracic & Cardiovascular Imaging, CHU of Bordeaux, Pessac, France (Dournes, G.; Montaudon, M.; Laurent, F.) \|\| LaBRI, Univ. Bordeaux, Talence, France (Balacey, H.; Desbarats, P.; Domenger, J.-P.)
Abstract	Accurate measurement of physiological parameters such as the bronchial lumen and bronchial wall areas helps in the diagnosis of lung diseases. Algorithms allowing such measures are the result of complex processing sequences composed of (i) bronchial volume extraction (ii) bronchial volume skeletonization (iii) wall extraction. The proposed sequences however still show weaknesses in terms of precision, extent and automation. In this paper we address various problems encountered at each step of the processing sequence and propose a new sequence for measuring lumen on bronchial section. Finally, this sequence is tested on two datasets of 10 anonymous $exams^{1}$ collected from 10 different healthy volunteers and 10 different patients suffering from asthma that were attended by different practitioners.
Starting Page	2339
Ending Page	2343
File Size	707731
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738482
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	anatomical structures Biomedical image processing image segmentation
Content Type	Text
Resource Type	Article

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