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흉부 X선 영상에서의 전역 및 지역 특성을 고려한 폐 영역 분할 연구

Other Titles
Lung Segmentation Considering Global and Local Properties in Chest X-ray Images
Authors
전웅기  ;  김태윤  ;  김성준  ;  최흥국  ;  김광기
Citation
Journal of Korea Multimedia Society (멀티미디어학회논문지), Vol.16(7) : 829-840, 2013
Journal Title
Journal of Korea Multimedia Society (멀티미디어학회논문지)
ISSN
1229-7771
Issue Date
2013
Abstract
In this paper, we propose a new lung segmentation method for chest x-ray images which can take both global and local properties into account. Firstly, the initial lung segmentation is computed by applying the active shape model (ASM) which keeps the shape of deformable model from the pre-learned model and searches the image boundaries. At the second segmentation stage, we also applied the localizing region-based active contour model (LRACM) for correcting various regional errors in the initial segmentation. Finally, to measure the similarities, we calculated the Dice coefficient of the segmented area using each semiautomatic method with the result of the manually segmented area by a radiologist. The comparison experiments were performed using 5 lung x-ray images. In our experiment, the Dice coefficient with manually segmented area was $95.33%{\pm}0.93%$ for the proposed method. Effective segmentation methods will be essential for the development of computer-aided diagnosis systems for a more accurate early diagnosis and prognosis regarding lung cancer in chest x-ray images.
Full Text
http://dx.doi.org/10.9717/kmms.2013.16.7.829
Files in This Item:
DOI
10.9717/kmms.2013.16.7.829
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Sungjun(김성준)  https://orcid.org/0000-0002-7876-7901
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/88428
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