Multilevel Thresholding Method Based on Electromagnetism for Accurate Brain MRI Segmentation to Detect White Matter, Gray Matter, and CSF
المؤلفون المشاركون
Sandhya, G.
Babu Kande, Giri
Savithri, T. Satya
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-11-09
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
This work explains an advanced and accurate brain MRI segmentation method.
MR brain image segmentation is to know the anatomical structure, to identify the abnormalities, and to detect various tissues which help in treatment planning prior to radiation therapy.
This proposed technique is a Multilevel Thresholding (MT) method based on the phenomenon of Electromagnetism and it segments the image into three tissues such as White Matter (WM), Gray Matter (GM), and CSF.
The approach incorporates skull stripping and filtering using anisotropic diffusion filter in the preprocessing stage.
This thresholding method uses the force of attraction-repulsion between the charged particles to increase the population.
It is the combination of Electromagnetism-Like optimization algorithm with the Otsu and Kapur objective functions.
The results obtained by using the proposed method are compared with the ground-truth images and have given best values for the measures sensitivity, specificity, and segmentation accuracy.
The results using 10 MR brain images proved that the proposed method has accurately segmented the three brain tissues compared to the existing segmentation methods such as K-means, fuzzy C-means, OTSU MT, Particle Swarm Optimization (PSO), Bacterial Foraging Algorithm (BFA), Genetic Algorithm (GA), and Fuzzy Local Gaussian Mixture Model (FLGMM).
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sandhya, G.& Babu Kande, Giri& Savithri, T. Satya. 2017. Multilevel Thresholding Method Based on Electromagnetism for Accurate Brain MRI Segmentation to Detect White Matter, Gray Matter, and CSF. BioMed Research International،Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1138219
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sandhya, G.…[et al.]. Multilevel Thresholding Method Based on Electromagnetism for Accurate Brain MRI Segmentation to Detect White Matter, Gray Matter, and CSF. BioMed Research International No. 2017 (2017), pp.1-17.
https://search.emarefa.net/detail/BIM-1138219
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sandhya, G.& Babu Kande, Giri& Savithri, T. Satya. Multilevel Thresholding Method Based on Electromagnetism for Accurate Brain MRI Segmentation to Detect White Matter, Gray Matter, and CSF. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1138219
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1138219
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر