Paper Info
Title
Quantification of shrinkage of lung lobe from chest CT images using the 3D extended Voronoi division and its application to the benign/malignant discrimination of tumor shadows
Abstract
In this paper, we propose a method to quantify the convergence of tissue in lung caused by cancer, using the three-dimensional (3D) extended Voronoi division from chest X-ray CT images. The convergence is the phenomenon that the pulmonary tumors pull tissues such as blood vessels and interstitium toward the pulmonary tumors. Because the malignant tumors (especially adenocarcinoma) often accompanies the convergence, quantification of the convergence is useful for the benign/malignant discrimination. We first calculate the Voronoi diagrams using the vessel regions which were classified according to the radius of vessels. Then a feature was calculated using the volumes of the Voronoi regions in the whole of lung region and those of the neighborhood of tumor region. The significant correlation between the proposed feature and the existence of the convergence is shown experimentally using actual CT images.
Year
DOI
Venue
2002
10.1109/ICPR.2002.1044867
Pattern Recognition, 2002. Proceedings. 16th International Conference  
Keywords
Field
DocType
cancer,computational geometry,computerised tomography,diagnostic radiography,lung,medical image processing,tumours,adenocarcinoma,benign/malignant discrimination,cancer,chest CT images 3D extended Voronoi division,chest X-ray CT images,lung lobe shrinkage quantification,tissue,tumor shadows
Lung,Pattern recognition,Computer science,Medical imaging,Lobe,Computed tomography,Artificial intelligence,Voronoi diagram,Adenocarcinoma,Radiology,Cancer
Conference
Volume
ISSN
ISBN
1
1051-4651
0-7695-1695-X
Citations 
PageRank 
References 
0
0.34
4
Authors
4
Name
Order
Citations
PageRank
Hirano, Y.100.34
Jun-ichi Hasegawa222161.17
Jun-ichiro Toriwaki3578136.04
Hironobu Ohmatsu413845.23