A Unified Framework for Brain Segmentation in MR Images
Joint Authors
Yusof, Rubiyah
Yazdani, S.
Karimian, A.
Riazi, A. H.
Bennamoun, Mohammed
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-18
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Brain MRI segmentation is an important issue for discovering the brain structure and diagnosis of subtle anatomical changes in different brain diseases.
However, due to several artifacts brain tissue segmentation remains a challenging task.
The aim of this paper is to improve the automatic segmentation of brain into gray matter, white matter, and cerebrospinal fluid in magnetic resonance images (MRI).
We proposed an automatic hybrid image segmentation method that integrates the modified statistical expectation-maximization (EM) method and the spatial information combined with support vector machine (SVM).
The combined method has more accurate results than what can be achieved with its individual techniques that is demonstrated through experiments on both real data and simulated images.
Experiments are carried out on both synthetic and real MRI.
The results of proposed technique are evaluated against manual segmentation results and other methods based on real T1-weighted scans from Internet Brain Segmentation Repository (IBSR) and simulated images from BrainWeb.
The Kappa index is calculated to assess the performance of the proposed framework relative to the ground truth and expert segmentations.
The results demonstrate that the proposed combined method has satisfactory results on both simulated MRI and real brain datasets.
American Psychological Association (APA)
Yazdani, S.& Yusof, Rubiyah& Karimian, A.& Riazi, A. H.& Bennamoun, Mohammed. 2015. A Unified Framework for Brain Segmentation in MR Images. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1058010
Modern Language Association (MLA)
Yazdani, S.…[et al.]. A Unified Framework for Brain Segmentation in MR Images. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-17.
https://search.emarefa.net/detail/BIM-1058010
American Medical Association (AMA)
Yazdani, S.& Yusof, Rubiyah& Karimian, A.& Riazi, A. H.& Bennamoun, Mohammed. A Unified Framework for Brain Segmentation in MR Images. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1058010
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1058010