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A Low-Interaction Automatic 3D Liver Segmentation Method Using Computed Tomography for Selective Internal Radiation Therapy
المؤلفون المشاركون
McGoron, Anthony J.
Goryawala, Mohammed
Bhatt, Ruchir
Adjouadi, Malek
Gulec, Seza
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-07-03
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
This study introduces a novel liver segmentation approach for estimating anatomic liver volumes towards selective internal radiation treatment (SIRT).
The algorithm requires minimal human interaction since the initialization process to segment the entire liver in 3D relied on a single computed tomography (CT) slice.
The algorithm integrates a localized contouring algorithm with a modified k-means method.
The modified k-means segments each slice into five distinct regions belonging to different structures.
The liver region is further segmented using localized contouring.
The novelty of the algorithm is in the design of the initialization masks for region contouring to minimize human intervention.
Intensity based region growing together with novel volume of interest (VOI) based corrections is used to accomplish the single slice initialization.
The performance of the algorithm is evaluated using 34 liver CT scans.
Statistical experiments were performed to determine consistency of segmentation and to assess user dependency on the initialization process.
Volume estimations are compared to the manual gold standard.
Results show an average accuracy of 97.22% for volumetric calculation with an average Dice coefficient of 0.92.
Statistical tests show that the algorithm is highly consistent (P=0.55) and independent of user initialization (P=0.20 and Fleiss’ Kappa=0.77±0.06).
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Goryawala, Mohammed& Gulec, Seza& Bhatt, Ruchir& McGoron, Anthony J.& Adjouadi, Malek. 2014. A Low-Interaction Automatic 3D Liver Segmentation Method Using Computed Tomography for Selective Internal Radiation Therapy. BioMed Research International،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-453842
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Goryawala, Mohammed…[et al.]. A Low-Interaction Automatic 3D Liver Segmentation Method Using Computed Tomography for Selective Internal Radiation Therapy. BioMed Research International No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-453842
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Goryawala, Mohammed& Gulec, Seza& Bhatt, Ruchir& McGoron, Anthony J.& Adjouadi, Malek. A Low-Interaction Automatic 3D Liver Segmentation Method Using Computed Tomography for Selective Internal Radiation Therapy. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-453842
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-453842
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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