Title :
Automatic extraction of pulmonary fissures from multidetector-row CT images
Author :
Kubo, Mitsuru ; Kawata, Yoshiki ; Niki, Noboru ; Eguchi, Kenji ; Ohmatsu, Hironobu ; Kakinuma, Ryutaro ; Kaneko, Masahiro ; Kusumoto, Masahiko ; Moriyama, Noriyuki ; Mori, Kiyoshi ; Nishiyama, Hiroyuki
Author_Institution :
Dept. Opt. Sci., Tokushima Univ., Japan
fDate :
6/23/1905 12:00:00 AM
Abstract :
The paper describes the extraction of pulmonary major and minor fissures from three-dimensional (3D) chest multidetector-row computed tomography (MDCT) images. These fissures are used for the diagnosis of lung cancer and the analysis of pulmonary conformation. We have proposed (see Kubo, M. et al, IEEE Trans. Nucl. Sci, vol.46, p.2128-33, 1999) an automatic fissures extraction method using thin-section CT images with much noise. The present study proposes a simpler algorithm to extract fissures using MDCT images with little noise. The new proposed algorithm consists of the highlight method using the VanderBrug operator and the extraction method using morphology filters. We applied the proposed algorithm to one patient. Our method could accurately extract fissures
Keywords :
cancer; computerised tomography; feature extraction; lung; mathematical morphology; medical image processing; 3D chest CT images; VanderBrug operator; automatic fissures extraction; highlight method; lung cancer; morphology filters; multidetector-row CT images; pulmonary conformation; pulmonary fissures; thin-section CT images; Biomedical imaging; Blood vessels; Cancer; Computed tomography; Filters; Hospitals; Lesions; Lungs; Morphology; Protocols;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958317
