DocumentCode :
1979807
Title :
The influence of preprocessing of CT images on airway tree segmentation using 3D region growing
Author :
Fabijacska, A.
Author_Institution :
Comput. Eng. Dept., Tech. Univ. of Lodz, Lodz
fYear :
2009
fDate :
22-24 April 2009
Firstpage :
85
Lastpage :
88
Abstract :
In this paper problem of airway tree segmentation from CT data sets was regarded. The idea of segmentation using 3D seeded region growing algorithm was introduced. Common problems arising during extracting airway tree from CT data using region growing method were explained. Especially problem of leakage from airway into the lung parenchyma was outlined. Common methods of CT data sets preprocessing were tested in order to check their influence on quality of image segmentation using region growing. Results were presented and discussed.
Keywords :
computerised tomography; diagnostic radiography; feature extraction; image segmentation; lung; medical image processing; 3D seeded region growing algorithm; CT image preprocessing; airway tree extraction; airway tree segmentation; computed tomography; image quality; lung parenchyma; Computed tomography; Data mining; Diseases; Humans; Image reconstruction; Image segmentation; Lungs; Respiratory system; Smoothing methods; X-ray imaging; 3D Region Growing; Airway Tree; CT; Computed Tomography; Segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Perspective Technologies and Methods in MEMS Design, 2009. MEMSTECH 2009. 2009 5th International Conference on
Conference_Location :
Zakarpattya
Print_ISBN :
978-966-2191-06-6
Type :
conf
Filename :
5069716
Link To Document :
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