Paper
15 May 2003 ROI extraction of chest CT images using adaptive opening filter
Nobuhiro Yamada, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Kenji Eguchi, Hironobu Omatsu, Ryutaro Kakinuma, Masahiro Kaneko, Masahiko Kusumoto, Hiroyuki Nishiyama, Noriyuki Moriyama
Author Affiliations +
Abstract
We have already developed a prototype of computer-aided diagnosis (CAD) system that can automatically detect suspicious shadows from Chest CT images. But the CAD system cannot detect Ground-Grass-Attenuation perfectly. In many cases, this reason depends on the inaccurate extraction of the region of interests (ROI) that CAD system analyzes, so we need to improve it. In this paper, we propose a method of an accurate extraction of the ROI, and compare proposed method to ordinary method that have used in CAD system. Proposed Method is performed by application of the three steps. Firstly we extract lung area using threshold. Secondly we remove the slowly varying bias field using flexible Opening Filter. This Opening Filter is calculated by the combination of the ordinary opening value and the distribution which CT value and contrast follow. Finally we extract Region of Interest using fuzzy clustering. When we applied proposal method to Chest CT images, we got a good result in which ordinary method cannot achieve. In this study we used the Helical CT images that are obtained under the following measurement: 10mm beam width; 20mm/sec table speed; 120kV tube voltage; 50mA tube current; 10mm reconstruction interval.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nobuhiro Yamada, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Kenji Eguchi, Hironobu Omatsu, Ryutaro Kakinuma, Masahiro Kaneko, Masahiko Kusumoto, Hiroyuki Nishiyama, and Noriyuki Moriyama "ROI extraction of chest CT images using adaptive opening filter", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); https://doi.org/10.1117/12.483540
Lens.org Logo
CITATIONS
Cited by 11 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Lung

Image segmentation

CAD systems

Computed tomography

Chest

Digital filtering

Image filtering

Back to Top