Automatic Segmentation of Anatomical Structures from CT Scans of Thorax for RTP
Joint Authors
Özsavaş, Emin Emrah
Telatar, Ziya
Dirican, Bahar
Sağer, Ömer
Beyzadeoğlu, Murat
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-18
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Modern radiotherapy techniques are vulnerable to delineation inaccuracies owing to the steep dose gradient around the target.
In this aspect, accurate contouring comprises an indispensable part of optimal radiation treatment planning (RTP).
We suggest a fully automated method to segment the lungs, trachea/main bronchi, and spinal canal accurately from computed tomography (CT) scans of patients with lung cancer to use for RTP.
For this purpose, we developed a new algorithm for inclusion of excluded pathological areas into the segmented lungs and a modified version of the fuzzy segmentation by morphological reconstruction for spinal canal segmentation and implemented some image processing algorithms along with them.
To assess the accuracy, we performed two comparisons between the automatically obtained results and the results obtained manually by an expert.
The average volume overlap ratio values range between 94.30 ± 3.93% and 99.11 ± 0.26% on the two different datasets.
We obtained the average symmetric surface distance values between the ranges of 0.28 ± 0.21 mm and 0.89 ± 0.32 mm by using the same datasets.
Our method provides favorable results in the segmentation of CT scans of patients with lung cancer and can avoid heavy computational load and might offer expedited segmentation that can be used in RTP.
American Psychological Association (APA)
Özsavaş, Emin Emrah& Telatar, Ziya& Dirican, Bahar& Sağer, Ömer& Beyzadeoğlu, Murat. 2014. Automatic Segmentation of Anatomical Structures from CT Scans of Thorax for RTP. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1016809
Modern Language Association (MLA)
Özsavaş, Emin Emrah…[et al.]. Automatic Segmentation of Anatomical Structures from CT Scans of Thorax for RTP. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-1016809
American Medical Association (AMA)
Özsavaş, Emin Emrah& Telatar, Ziya& Dirican, Bahar& Sağer, Ömer& Beyzadeoğlu, Murat. Automatic Segmentation of Anatomical Structures from CT Scans of Thorax for RTP. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1016809
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1016809