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New Technique for Automatic Segmentation of Blood Vessels in CT Scan Images of Liver Based on Optimized Fuzzy C-Means Method
المؤلفون المشاركون
Ahmadi, Katayoon
Fouladi Nia, Babak
Karimi, Abbas
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-12-04
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Automatic segmentation of medical CT scan images is one of the most challenging fields in digital image processing.
The goal of this paper is to discuss the automatic segmentation of CT scan images to detect and separate vessels in the liver.
The segmentation of liver vessels is very important in the liver surgery planning and identifying the structure of vessels and their relationship to tumors.
Fuzzy C-means (FCM) method has already been proposed for segmentation of liver vessels.
Due to classical optimization process, this method suffers lack of sensitivity to the initial values of class centers and segmentation of local minima.
In this article, a method based on FCM in conjunction with genetic algorithms (GA) is applied for segmentation of liver’s blood vessels.
This method was simulated and validated using 20 CT scan images of the liver.
The results showed that the accuracy, sensitivity, specificity, and CPU time of new method in comparison with FCM algorithm reaching up to 91%, 83.62, 94.11%, and 27.17 were achieved, respectively.
Moreover, selection of optimal and robust parameters in the initial step led to rapid convergence of the proposed method.
The outcome of this research assists medical teams in estimating disease progress and selecting proper treatments.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ahmadi, Katayoon& Karimi, Abbas& Fouladi Nia, Babak. 2016. New Technique for Automatic Segmentation of Blood Vessels in CT Scan Images of Liver Based on Optimized Fuzzy C-Means Method. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1100150
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ahmadi, Katayoon…[et al.]. New Technique for Automatic Segmentation of Blood Vessels in CT Scan Images of Liver Based on Optimized Fuzzy C-Means Method. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1100150
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ahmadi, Katayoon& Karimi, Abbas& Fouladi Nia, Babak. New Technique for Automatic Segmentation of Blood Vessels in CT Scan Images of Liver Based on Optimized Fuzzy C-Means Method. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1100150
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1100150
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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