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Automatic Segmentation of Anatomical Structures from CT Scans of Thorax for RTP
المؤلفون المشاركون
Özsavaş, Emin Emrah
Telatar, Ziya
Dirican, Bahar
Sağer, Ömer
Beyzadeoğlu, Murat
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-12-18
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1016809
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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