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

Volume

3

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

1091

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.958317

Filename

958317