Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy c-Means Clustering.
Ahmed El-AzabChangmiao WangFucang JiaJianhuang WuGuanglin LiQingmao HuPublished in: Comput. Math. Methods Medicine (2015)
Keyphrases
- magnetic resonance images
- fuzzy c means clustering
- brain tissue
- brain mri
- tissue segmentation
- partial volume
- bias field
- medical images
- brain mr images
- mri images
- brain tumors
- medical imaging
- mr images
- gray matter
- white matter
- adipose tissue
- brain structures
- fuzzy c means
- brain atlas
- image segmentation
- magnetic resonance imaging
- image segmentation algorithm
- mri data
- intensity distribution
- accurate segmentation
- diffusion tensor
- high resolution
- clustering method
- multiple sclerosis
- partial volume effects
- region growing
- brain images
- medical image analysis
- anatomical structures
- mr brain images
- segmentation algorithm
- multiscale
- cerebrospinal fluid
- corpus callosum
- fuzzy clustering
- remote sensing
- markov random field
- shape prior
- image analysis
- automatic segmentation