Browsing by Subject "region growing"

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Access status: Open Access ,
Analiza porównawcza algorytmów segmentacji drzewa oskrzelowego
(Wydawnictwa AGH, 2009) Fabijańska, Anna; Postolski, Michał; Janaszewski, Marcin Sławomir; Babout, Laurent
In this paper problem of airway tree segmentation from 3D CT chest scans was considered. Especially comparison of two authors' algorithms was provided. The algorithms are 3D region growing approaches. The first method uses hole closing algorithm in order to avoid leakages into the lungs. The second approach guides and constrains region growing by morphological gradient. Results of both considered methods for exemplary data are presented and discussed.
Access status: Open Access ,
Segmentacja drzewa oskrzelowego z wykorzystaniem algorytmu zamykania otworów
(Wydawnictwa AGH, 2009) Postolski, Michał; Janaszewski, Marcin Sławomir; Fabijańska, Anna; Babout, Laurent; Jędrzejczyk, Mariusz; Stefańczyk, Ludomir
Reliable segmentation of a human airway tree from volumetric computer tomography (CT) data sets is the most important step for further analysis in many clinical applications. In this paper the original airway segmentation algorithm based on discrete topology and geometry is presented. The proposed method is fully automated and takes advantage of well defined mathematical notions. Holes occur in bronchial walls due to many reasons, for example they are results of noise. Holes are common problem in previously proposed methods because in some areas they can cause the segmentation algorithms to leak into surrounding parenchyma parts of a lung. The novelty of the approach consist in the application of a dedicated hole closing algorithm which closes all disturbing holes in a bronchial tree. The experimental results showed that the method is reliable and generate good quality and accurate results.