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Iranian Journal of Fuzzy Systems، جلد ۱۰، شماره ۲، صفحات ۴۹-۵۶
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| عنوان فارسی |
REGION MERGING STRATEGY FOR BRAIN MRI SEGMENTATION USING DEMPSTER-SHAFER THEORY |
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| چکیده فارسی مقاله |
Detection of brain tissues using magnetic resonance imaging (MRI) is an active and challenging research area in computational neuroscience. Brain MRI artifacts lead to an uncertainty in pixel values. Therefore, brain MRI segmentation is a complicated concern which is tackled by a novel data fusion approach. The proposed algorithm has two main steps. In the first step the brain MRI is divided to some main and ancillary cluster which is done using Fuzzy c-mean (FCM). In the second step, the considering ancillary clusters are merged with main clusters employing Dempster-Shafer Theory. The proposed method was validated on simulated brain images from the commonly used BrainWeb dataset. The results of the proposed method are evaluated by using Dice and Tanimoto coefficients which demonstrate well performance and robustness of this algorithm. |
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| عنوان انگلیسی |
REGION MERGING STRATEGY FOR BRAIN MRI SEGMENTATION USING DEMPSTER-SHAFER THEORY |
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| چکیده انگلیسی مقاله |
Detection of brain tissues using magnetic resonance imaging (MRI) is an active and challenging research area in computational neuroscience. Brain MRI artifacts lead to an uncertainty in pixel values. Therefore, brain MRI segmentation is a complicated concern which is tackled by a novel data fusion approach. The proposed algorithm has two main steps. In the first step the brain MRI is divided to some main and ancillary cluster which is done using Fuzzy c-mean (FCM). In the second step, the considering ancillary clusters are merged with main clusters employing Dempster-Shafer Theory. The proposed method was validated on simulated brain images from the commonly used BrainWeb dataset. The results of the proposed method are evaluated by using Dice and Tanimoto coefficients which demonstrate well performance and robustness of this algorithm. |
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| نویسندگان مقاله |
جمال قاسمی |
faculty of engineering and technology, university of mazan- daran, babolsar, iran
محمدرضا کرمی ملایی | mohamad reza karami mollaei
faculty of electrical and computer engeniering, babol university of technology, p.o.box 484, babol, iran
رضا قادری |
shahid beheshti university, tehran, iran
سازمان اصلی تایید شده: دانشگاه شهید بهشتی (Shahid beheshti university)
علی حجت الاسلامی حجت الاسلامی | ali hojjatoleslami
school of computing, university of kent, canterbury,ct2 7pt uk
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| نشانی اینترنتی |
http://ijfs.usb.ac.ir/article_611_816e9129fa7cd7f854cbf6ff7d8fd94a.pdf |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/448/article-448-131841.pdf |
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| زبان مقاله منتشر شده |
fa |
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