SEGMENTATION OF BRAIN MRIs BY SUPPORT VECTOR MACHINE: DETECTION AND CHARACTERIZATION OF STROKES

被引：5

作者：

Assia, Cherfa ^{[1
]}

Yazid, Cherfa ^{[1
]}

Said, Moudache ^{[1
]}

机构：

[1] Univ Blida, Fac Technol, Dept Elect, Blida 09000, Algeria

来源：

JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY | 2015年 / 15卷 / 05期

关键词：

Brain MRIs; stroke; segmentation; SVM; C-MEANS ALGORITHM; MAGNETIC-RESONANCE IMAGES; ARTIFICIAL NEURAL-NETWORKS; AUTOMATIC SEGMENTATION; INTENSITY INHOMOGENEITIES; DISCRIMINANT-ANALYSIS; CLUSTERING-ALGORITHM; TUMOR SEGMENTATION; EDGE-DETECTION; MODEL;

D O I：

10.1142/S0219519415500761

中图分类号：

Q6 [生物物理学];

学科分类号：

071011 [生物物理学];

摘要：

The aim of our work is the segmentation of healthy and pathological brains to obtain brain structures and extract strokes. We used real magnetic resonance (MR) images weighted on diffusion. The brain was isolated, and the images were filtered by an anisotropic filter, and then segmented by support vector machines (SVMs). We first applied the method on synthetic images to test the performance of the algorithm and adjust the parameters. Then, we compared our results with those obtained by a cooperative approach proposed in a previous paper.

引用

页数：23

共 71 条

[1]

A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data [J].

Ahmed, MN ;

Yamany, SM ;

Mohamed, N ;

Farag, AA ;

Moriarty, T .

IEEE TRANSACTIONS ON MEDICAL IMAGING, 2002, 21 (03) :193-199

[2]

Automatic segmentation of cerebral MR images using artificial neural networks [J].

Alirezaie, J ;

Jernigan, ME ;

Nahmias, C .

IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 1998, 45 (04) :2174-2182

[3]

Segmentation of magnetic resonance brain images through discriminant analysis [J].

Amato, U ;

Larobina, M ;

Antoniadis, A ;

Alfano, B .

JOURNAL OF NEUROSCIENCE METHODS, 2003, 131 (1-2) :65-74

[4]

Probabilistic segmentation of brain tissue in MR imaging [J].

Anbeek, P ;

Vincken, KL ;

van Bochove, GS ;

van Osch, MJP ;

van der Grond, J .

NEUROIMAGE, 2005, 27 (04) :795-804

[5]

Automated segmentation of multispectral brain MR images [J].

Andersen, AH ;

Zhang, ZM ;

Avison, MJ ;

Gash, DM .

JOURNAL OF NEUROSCIENCE METHODS, 2002, 122 (01) :13-23

[6]

Multivariate image analysis of magnetic resonance images with the direct exponential curve resolution algorithm (DECRA) - Part 2: Application to human brain images [J].

Antalek, B ;

Hornak, JP ;

Windig, W .

JOURNAL OF MAGNETIC RESONANCE, 1998, 132 (02) :307-315

[7]

Automated segmentation of mouse brain images using extended MRF [J].

Bae, Min Hyeok ;

Pan, Rong ;

Wu, Teresa ;

Badea, Alexandra .

NEUROIMAGE, 2009, 46 (03) :717-725

[8]

REVIEW OF MR IMAGE SEGMENTATION TECHNIQUES USING PATTERN-RECOGNITION [J].

BEZDEK, JC ;

HALL, LO ;

CLARKE, LP .

MEDICAL PHYSICS, 1993, 20 (04) :1033-1048

[9]

A review of atlas-based segmentation for magnetic resonance brain images [J].

Cabezas, Mariano ;

Oliver, Arnau ;

Llado, Xavier ;

Freixenet, Jordi ;

Cuadra, Meritxell Bach .

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2011, 104 (03) :E158-E177

[10]

A non-local fuzzy segmentation method: Application to brain MRI [J].

Caldairou, Benoit ;

Passat, Nicolas ;

Habas, Piotr A. ;

Studholme, Colin ;

Rousseau, Francois .

PATTERN RECOGNITION, 2011, 44 (09) :1916-1927

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