16th International Conference on Pattern Recognition (ICPR'02) - Volume 1
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
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
In this paper, we prop ose 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 V oronoiregions in the whole of lung region and those of the neighborho odof tumor region. The significant correlation between the proposed feature and the existence of the convergence is shown experimentally using actual CT images.
Citation:
Yasushi Hirano, Jun-ichi Hasegawa, Junichiro Toriwaki, Hironobu Ohmatsu, Kenji Eguchi, "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," icpr, vol. 1, pp.10751, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002