Lung detection by using geodesic active contour model based on characteristics of lung parenchyma region

Authors:
Chul-Ho Won;Seung-Ik Lee;Dong-Hun Kim;Jin-Ho Cho
Affiliations:
Dept. of Control and Instrumentation Engineering, Kyungil University, Gyeongsan, Korea;Dept. of Control and Instrumentation Engineering, Kyungil University, Gyeongsan, Korea;School of Electronic Engineering and Computer Science, Kyungpook National University, Korea;School of Electronic Engineering and Computer Science, Kyungpook National University, Korea
Venue:
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Year:
2005

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Abstract

In this paper, the curve stopping function based on the CT number of lung parenchyma from CT lung images is proposed to detect lung region in replacement of conventional edge indication function in geodesic active contour model. We showed that the proposed method was able to detect lung region more effectively than conventional method by applying three kinds of measurement numerically. And, we verified the effectiveness of our method visually by observing the detection procedure on actual CT images. Because lung parenchyma region could be precisely detected from actual EBCT lung images, we were sure that the proposed method could aid to early diagnosis of lung disease and local abnormality of lung function.