Automatic 3-D muscle and fat segmentation of thigh magnetic resonance images in individuals with spinal cord injury.
Samineh MesbahAhmed ShalabyAndrea WillhiteSusan HarkemaEnrico RejcAyman El-BazPublished in: ICIP (2017)
Keyphrases
- magnetic resonance images
- brain mri
- medical images
- partial volume
- brain scans
- tissue segmentation
- medical imaging
- brain tumors
- mr images
- multiple sclerosis lesions
- intra subject
- bias field
- mri images
- brain structures
- mri brain
- brain tissue
- white matter
- fully automatic
- magnetic resonance imaging
- mri data
- spinal cord injury
- diffusion tensor
- gray matter
- partial volume effects
- intensity distribution
- brain atlas
- brain tumor segmentation
- magnetic resonance
- accurate segmentation
- medical image analysis
- anatomical structures
- segmentation algorithm
- brain mr images
- manual segmentation
- diffusion weighted
- deformable models
- multiple sclerosis
- corpus callosum
- image segmentation
- region growing
- mr imaging
- mr brain images
- intensity inhomogeneity
- cerebrospinal fluid
- signal processing
- edge detection
- pattern recognition
- feature extraction