Title :
Classification of pulmonary blood vessel using multidetector-row CT images
Author :
Mukaibo, T. ; Kawata, Y. ; Niki, N. ; Ohmatsu, H. ; Kakinuma, R. ; Kaneko, M. ; Eguchi, K. ; Moriyama, K.
Author_Institution :
Dept. of Opt. Sci., Tokushima Univ., Japan
Abstract :
We present the techniques of recognizing pulmonary structure for differential diagnosis of lung cancer based on multidetector-row computed tomography (MDCT) images. These techniques consist of two steps. In the first step, we extract the pulmonary organs, such as vessels and bronchus using anatomical information and a 3D image processing method from MDCT images. As second step, these extracted regions are classified. This classification enables the lung tumor position to be recognized
Keywords :
blood vessels; cancer; computerised tomography; diagnostic radiography; feature extraction; image classification; image segmentation; lung; medical image processing; tumours; 3D image processing; X-ray CT scanner; bronchus; lung cancer diagnosis; lung field segmentation; lung tumor position; multidetector-row CT images; multidetector-row computed tomography; pulmonary blood vessel classification; pulmonary structure recognition; Biomedical imaging; Blood vessels; Cancer; Computed tomography; Data mining; Hospitals; Image recognition; Image segmentation; Lungs; Voltage;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958625
