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Contour Propagation Using Feature-Based Deformable Registration for Lung Cancer
Joint Authors
Wu, Shibin
Zhou, Shoujun
Shang, Peng
Qi, En
Xie, Yaoqin
Yang, Yuhan
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-02
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Accurate target delineation of CT image is a critical step in radiotherapy treatment planning.
This paper describes a novel strategy for automatic contour propagation, based on deformable registration, for CT images of lung cancer.
The proposed strategy starts with a manual-delineated contour in one slice of a 3D CT image.
By means of feature-based deformable registration, the initial contour in other slices of the image can be propagated automatically, and then refined by active contour approach.
Three algorithms are employed in the strategy: the Speeded-Up Robust Features (SURF), Thin-Plate Spline (TPS), and an adapted active contour (Snake), used to refine and modify the initial contours.
Five pulmonary cancer cases with about 400 slices and 1000 contours have been used to verify the proposed strategy.
Experiments demonstrate that the proposed strategy can improve the segmentation performance in the pulmonary CT images.
Jaccard similarity (JS) mean is about 0.88 and the maximum of Hausdorff distance (HD) is about 90%.
In addition, delineation time has been considerably reduced.
The proposed feature-based deformable registration method in the automatic contour propagation improves the delineation efficiency significantly.
American Psychological Association (APA)
Yang, Yuhan& Zhou, Shoujun& Shang, Peng& Qi, En& Wu, Shibin& Xie, Yaoqin. 2013. Contour Propagation Using Feature-Based Deformable Registration for Lung Cancer. BioMed Research International،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1030809
Modern Language Association (MLA)
Yang, Yuhan…[et al.]. Contour Propagation Using Feature-Based Deformable Registration for Lung Cancer. BioMed Research International No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1030809
American Medical Association (AMA)
Yang, Yuhan& Zhou, Shoujun& Shang, Peng& Qi, En& Wu, Shibin& Xie, Yaoqin. Contour Propagation Using Feature-Based Deformable Registration for Lung Cancer. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1030809
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1030809