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