عنوان المقالة: A New Method for Detecting Cerebral Tissues Abnormality in Magnetic Resonance Images
محمد صبيح حمود التميمي | Mohammed Sabbih Hamoud Al-Tamimi | 1241
نوع النشر
مقال علمي
المؤلفون بالعربي
محمد صبيح حمود التميمي ، غزالي سولونج
المؤلفون بالإنجليزي
MOHAMMED SABBIH HAMOUD AL-TAMIMI , GHAZALI SULONG
الملخص الانجليزي
We propose a new method for detecting the abnormality in cerebral tissues present within Magnetic Resonance Images (MRI). Present classifier is comprised of cerebral tissue extraction, image division into angular and distance span vectors, acquirement of four features for each portion and classification to ascertain the abnormality location. The threshold value and region of interest are discerned using operator input and Otsu algorithm. Novel brain slices image division is introduced via angular and distance span vectors of sizes 24° with 15 pixels. Rotation invariance of the angular span vector is determined. An automatic image categorization into normal and abnormal brain tissues is performed using Support Vector Machine (SVM). Standard Deviation, Mean, Energy and Entropy are extorted using the histogram approach for each merger space. These features are found to be higher in occurrence in the tumor region than the non-tumor one. MRI scans of the five brains with 60 slices from each are utilized for testing the proposed method’s authenticity. These brain images (230 slices as normal and 70 abnormal) are accessed from the Internet Brain Segmentation Repository (IBSR) dataset. 60% images for training and 40% for testing phase are used. Average classification accuracy as much as 98.02% (training) and 98.19% (testing) are achieved.
تاريخ النشر
01/12/2015
الناشر
Modern Applied Science
رقم المجلد
9
رقم العدد
8
ISSN/ISBN
1913-1844
رابط DOI
http://dx.doi.org/10.5539/mas.v9n8p363
الصفحات
363-379
رابط الملف
تحميل (110 مرات التحميل)
رابط خارجي
https://www.researchgate.net/publication/280628258_A_New_Method_for_Detecting_Cerebral_Tissues_Abnormality_in_Magnetic_Resonance_Images?_sg=G3hvEL3StuzcsMLsw7nQDtvje4ibJ5g0BRjT39TbQh1nd6W4VHg6F5lLteAdozSh9krBcl_FIAtXHiepd-BQGh_OlcULx7FJQrUCT4D_.T6mt3QLexnMtKKa7ihRoqMokpB9DVtAJLG4e-ExRpW8eLyr8QPMm51KaoWjiHTVsbkn9EXDJy5JreOMShBAYFA
الكلمات المفتاحية
abnormal brain tissues, brain slices images, cerebral tissues, image classification, magnetic resonance imaging, statistical features.
رجوع