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Brain Tissue Segmentation and Bias Field Correction of MR Image Based on Spatially Coherent FCM with Nonlocal Constraints
المؤلفون المشاركون
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-03-03
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Influenced by poor radio frequency field uniformity and gradient-driven eddy currents, intensity inhomogeneity (or bias field) and noise appear in brain magnetic resonance (MR) image.
However, some traditional fuzzy c-means clustering algorithms with local spatial constraints often cannot obtain satisfactory segmentation performance.
Therefore, an objective function based on spatial coherence for brain MR image segmentation and intensity inhomogeneity correction simultaneously is constructed in this paper.
First, a novel similarity measure including local neighboring information is designed to improve the separability of MR data in Gaussian kernel mapping space without image smoothing, and the similarity measure incorporates the spatial distance and grayscale difference between cluster centroid and its neighborhood pixels.
Second, the objective function with an adaptive nonlocal spatial regularization term is drawn upon to compensate the drawback of the local spatial information.
Meanwhile, bias field information is also embedded into the similarity measure of clustering algorithm.
From the comparison between the proposed algorithm and the state-of-the-art methods, our model is more robust to noise in the brain magnetic resonance image, and the bias field is also effectively estimated.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Song, Jianhua& Zhang, Zhe. 2019. Brain Tissue Segmentation and Bias Field Correction of MR Image Based on Spatially Coherent FCM with Nonlocal Constraints. Computational and Mathematical Methods in Medicine،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1130582
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Song, Jianhua& Zhang, Zhe. Brain Tissue Segmentation and Bias Field Correction of MR Image Based on Spatially Coherent FCM with Nonlocal Constraints. Computational and Mathematical Methods in Medicine No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1130582
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Song, Jianhua& Zhang, Zhe. Brain Tissue Segmentation and Bias Field Correction of MR Image Based on Spatially Coherent FCM with Nonlocal Constraints. Computational and Mathematical Methods in Medicine. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1130582
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1130582
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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