3D segmentation of the tracheobronchial tree using multiscale morphology enhancement filter
Date issued
2016
Journal Title
Journal ISSN
Volume Title
Publisher
Václav Skala - UNION Agency
Abstract
In this article we present a new region growing algorithm for airway segmentation based on multiscale black tophat
enhancement filter. Lung airways are tubular structures that display specific characteristics, such as highly
variable intensity levels within the lumen and proximity to vessels. The proposed airways enhancement filter aims
to separate airways from adjacent lung parenchyma and vessel. Based on the filter ouput, the region growing is
performed in order to delineate the airways and then to reconstruct the tracheobronchial tree. The proposed method
has been applied on various CT scans. In this paper, an experimental comparison study between our filter and the
"gold standard" filters used to enhance tubular structures (Frangi, Sato and Krissian filters) followed by a region
growing process is performed on data from the VESSEL12 challenge framework. Our approach outperforms the
other considered methods in terms of retrieved bronchi and computing time.
Description
Subject(s)
bronchiální segmentace, filtr pro vylepšení, plíce, CT vyšetření hrudníku
Citation
WSCG '2016: short communications proceedings: The 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech RepublicMay 30 - June 3 2016, p. 207-214.