An Approach for Pulmonary Vascular Extraction from Chest CT Images
Joint Authors
Tan, Wenjun
Yuan, Yue
Chen, Anning
Mao, Lin
Ke, Yuqian
Lv, Xinhui
Source
Journal of Healthcare Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-17
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Pulmonary vascular extraction from chest CT images plays an important role in the diagnosis of lung disease.
To improve the accuracy rate of pulmonary vascular segmentation, a new pulmonary vascular extraction approach is proposed in this study.
First, the lung tissue is extracted from chest CT images by region-growing and maximum between-class variance methods.
Then the holes of the extracted region are filled by morphological operations to obtain complete lung region.
Second, the points of the pulmonary vascular of the middle slice of the chest CT images are extracted as the original seed points.
Finally, the seed points are spread throughout the lung region based on the fast marching method to extract the pulmonary vascular in the gradient image.
Results of pulmonary vascular extraction from chest CT image datasets provided by the introduced approach are presented and discussed.
Based on the ground truth pixels and the resulting quality measures, it can be concluded that the average accuracy of this approach is about 90%.
Extensive experiments demonstrate that the proposed method has achieved the best performance in pulmonary vascular extraction compared with other two widely used methods.
American Psychological Association (APA)
Tan, Wenjun& Yuan, Yue& Chen, Anning& Mao, Lin& Ke, Yuqian& Lv, Xinhui. 2019. An Approach for Pulmonary Vascular Extraction from Chest CT Images. Journal of Healthcare Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1175498
Modern Language Association (MLA)
Tan, Wenjun…[et al.]. An Approach for Pulmonary Vascular Extraction from Chest CT Images. Journal of Healthcare Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1175498
American Medical Association (AMA)
Tan, Wenjun& Yuan, Yue& Chen, Anning& Mao, Lin& Ke, Yuqian& Lv, Xinhui. An Approach for Pulmonary Vascular Extraction from Chest CT Images. Journal of Healthcare Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1175498
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175498