Conference Proceeding

Segmentation of lung area and extraction of abnormal area on CT images of the thorax

Div. of Control Eng., Kyushu Inst. of Technol., Kitakyushu, Japan
12/2004; DOI:10.1109/IECON.2004.1433384 ISBN: 0-7803-8730-9 pp.637 - 640 Vol. 1 In proceeding of: Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE, Volume: 1
Source: IEEE Xplore

ABSTRACT In the recent years, various imaging techniques have been introduced into medical fields such as ultrasound images, magnetic resonance images, CT images, etc. In this paper, we propose a new technique for segmentation of lung area and extraction of its abnormal area on the CT image set of the thorax. In the first stage, we extract the ROI based on image preprocessing techniques. In the final stage, the abnormal area is extracted by comparing the density profile. In the experiment, nine lung CT image sets of the thorax are employed in the proposed technique and some of results are shown.

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Keywords

abnormal area
 
CT image
 
CT images
 
density profile
 
extraction
 
first stage
 
image preprocessing techniques
 
lung area
 
lung CT image sets
 
magnetic resonance images
 
proposed technique
 
recent years
 
segmentation
 
ultrasound images
 
various imaging techniques