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Many Is Better Than One: An Integration of Multiple Simple Strategies for Accurate Lung Segmentation in CT Images
Joint Authors
Zhang, Ming
Shi, Zhenghao
Ma, Jiejue
Zhao, Minghua
Liu, Yonghong
Feng, Yaning
He, Lifeng
Suzuki, Kenji
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-22
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Accurate lung segmentation is an essential step in developing a computer-aided lung disease diagnosis system.
However, because of the high variability of computerized tomography (CT) images, it remains a difficult task to accurately segment lung tissue in CT slices using a simple strategy.
Motived by the aforementioned, a novel CT lung segmentation method based on the integration of multiple strategies was proposed in this paper.
Firstly, in order to avoid noise, the input CT slice was smoothed using the guided filter.
Then, the smoothed slice was transformed into a binary image using an optimized threshold.
Next, a region growing strategy was employed to extract thorax regions.
Then, lung regions were segmented from the thorax regions using a seed-based random walk algorithm.
The segmented lung contour was then smoothed and corrected with a curvature-based correction method on each axis slice.
Finally, with the lung masks, the lung region was automatically segmented from a CT slice.
The proposed method was validated on a CT database consisting of 23 scans, including a number of 883 2D slices (the number of slices per scan is 38 slices), by comparing it to the commonly used lung segmentation method.
Experimental results show that the proposed method accurately segmented lung regions in CT slices.
American Psychological Association (APA)
Shi, Zhenghao& Ma, Jiejue& Zhao, Minghua& Liu, Yonghong& Feng, Yaning& Zhang, Ming…[et al.]. 2016. Many Is Better Than One: An Integration of Multiple Simple Strategies for Accurate Lung Segmentation in CT Images. BioMed Research International،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1096895
Modern Language Association (MLA)
Shi, Zhenghao…[et al.]. Many Is Better Than One: An Integration of Multiple Simple Strategies for Accurate Lung Segmentation in CT Images. BioMed Research International No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1096895
American Medical Association (AMA)
Shi, Zhenghao& Ma, Jiejue& Zhao, Minghua& Liu, Yonghong& Feng, Yaning& Zhang, Ming…[et al.]. Many Is Better Than One: An Integration of Multiple Simple Strategies for Accurate Lung Segmentation in CT Images. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1096895
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1096895