An Automated Segmentation Method for Lung Parenchyma Image Sequences Based on Fractal Geometry and Convex Hull Algorithm
Statistically solitary pulmonary nodules are about 6% to 17% of juxtapleural nodules. The accurate segmentation of lung parenchyma sequences of juxtapleural nodules is the basis of subsequent pulmonary nodule segmentation and detection. In order to solve the problem of incomplete segmentation of the...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-05-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/8/5/832 |
| _version_ | 1818545766334988288 |
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| author | Xiaojiao Xiao Juanjuan Zhao Yan Qiang Hua Wang Yingze Xiao Xiaolong Zhang Yudong Zhang |
| author_facet | Xiaojiao Xiao Juanjuan Zhao Yan Qiang Hua Wang Yingze Xiao Xiaolong Zhang Yudong Zhang |
| author_sort | Xiaojiao Xiao |
| collection | DOAJ |
| description | Statistically solitary pulmonary nodules are about 6% to 17% of juxtapleural nodules. The accurate segmentation of lung parenchyma sequences of juxtapleural nodules is the basis of subsequent pulmonary nodule segmentation and detection. In order to solve the problem of incomplete segmentation of the juxtapleural nodules and segmentation inefficiency, this paper proposes an automated framework to combine the threshold iteration method to segment the lung parenchyma images and the fractal geometry method to detect the depression boundary. The framework includes an improved convex hull repair to complete the accurate segmentation of the lung parenchyma. The evaluation results confirm that the proposed method can segment juxtapleural lung parenchymal images accurately and efficiently. |
| first_indexed | 2024-12-12T07:44:20Z |
| format | Article |
| id | doaj.art-258b933a9f44464eb4df121d61d59c36 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-12T07:44:20Z |
| publishDate | 2018-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-258b933a9f44464eb4df121d61d59c362022-12-22T00:32:39ZengMDPI AGApplied Sciences2076-34172018-05-018583210.3390/app8050832app8050832An Automated Segmentation Method for Lung Parenchyma Image Sequences Based on Fractal Geometry and Convex Hull AlgorithmXiaojiao Xiao0Juanjuan Zhao1Yan Qiang2Hua Wang3Yingze Xiao4Xiaolong Zhang5Yudong Zhang6College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030000, ChinaCollege of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030000, ChinaCollege of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030000, ChinaCollege of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030000, ChinaCollege of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030000, ChinaCollege of Information Sciences and Technology, Pennsylvania State University, State College, PA 16802, USADepartment of Informatics, University of Leicester, Leicester LE1 7RH, UKStatistically solitary pulmonary nodules are about 6% to 17% of juxtapleural nodules. The accurate segmentation of lung parenchyma sequences of juxtapleural nodules is the basis of subsequent pulmonary nodule segmentation and detection. In order to solve the problem of incomplete segmentation of the juxtapleural nodules and segmentation inefficiency, this paper proposes an automated framework to combine the threshold iteration method to segment the lung parenchyma images and the fractal geometry method to detect the depression boundary. The framework includes an improved convex hull repair to complete the accurate segmentation of the lung parenchyma. The evaluation results confirm that the proposed method can segment juxtapleural lung parenchymal images accurately and efficiently.http://www.mdpi.com/2076-3417/8/5/832fractal geometryconvex hull methodjuxtapleural noduleslung parenchymal segmentation |
| spellingShingle | Xiaojiao Xiao Juanjuan Zhao Yan Qiang Hua Wang Yingze Xiao Xiaolong Zhang Yudong Zhang An Automated Segmentation Method for Lung Parenchyma Image Sequences Based on Fractal Geometry and Convex Hull Algorithm Applied Sciences fractal geometry convex hull method juxtapleural nodules lung parenchymal segmentation |
| title | An Automated Segmentation Method for Lung Parenchyma Image Sequences Based on Fractal Geometry and Convex Hull Algorithm |
| title_full | An Automated Segmentation Method for Lung Parenchyma Image Sequences Based on Fractal Geometry and Convex Hull Algorithm |
| title_fullStr | An Automated Segmentation Method for Lung Parenchyma Image Sequences Based on Fractal Geometry and Convex Hull Algorithm |
| title_full_unstemmed | An Automated Segmentation Method for Lung Parenchyma Image Sequences Based on Fractal Geometry and Convex Hull Algorithm |
| title_short | An Automated Segmentation Method for Lung Parenchyma Image Sequences Based on Fractal Geometry and Convex Hull Algorithm |
| title_sort | automated segmentation method for lung parenchyma image sequences based on fractal geometry and convex hull algorithm |
| topic | fractal geometry convex hull method juxtapleural nodules lung parenchymal segmentation |
| url | http://www.mdpi.com/2076-3417/8/5/832 |
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