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Automatic Approach for Lung Segmentation with Juxta-Pleural Nodules from Thoracic CT Based on Contour Tracing and Correction
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-16
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper presents a fully automatic framework for lung segmentation, in which juxta-pleural nodule problem is brought into strong focus.
The proposed scheme consists of three phases: skin boundary detection, rough segmentation of lung contour, and pulmonary parenchyma refinement.
Firstly, chest skin boundary is extracted through image aligning, morphology operation, and connective region analysis.
Secondly, diagonal-based border tracing is implemented for lung contour segmentation, with maximum cost path algorithm used for separating the left and right lungs.
Finally, by arc-based border smoothing and concave-based border correction, the refined pulmonary parenchyma is obtained.
The proposed scheme is evaluated on 45 volumes of chest scans, with volume difference (VD) 11.15±69.63 cm3, volume overlap error (VOE) 3.5057±1.3719%, average surface distance (ASD) 0.7917±0.2741 mm, root mean square distance (RMSD) 1.6957±0.6568 mm, maximum symmetric absolute surface distance (MSD) 21.3430±8.1743 mm, and average time-cost 2 seconds per image.
The preliminary results on accuracy and complexity prove that our scheme is a promising tool for lung segmentation with juxta-pleural nodules.
American Psychological Association (APA)
Wang, Jinke& Guo, Haoyan. 2016. Automatic Approach for Lung Segmentation with Juxta-Pleural Nodules from Thoracic CT Based on Contour Tracing and Correction. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1100095
Modern Language Association (MLA)
Wang, Jinke& Guo, Haoyan. Automatic Approach for Lung Segmentation with Juxta-Pleural Nodules from Thoracic CT Based on Contour Tracing and Correction. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1100095
American Medical Association (AMA)
Wang, Jinke& Guo, Haoyan. Automatic Approach for Lung Segmentation with Juxta-Pleural Nodules from Thoracic CT Based on Contour Tracing and Correction. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1100095
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100095