A Knowledge-Based Approach for Carpal Tunnel Segmentation from Magnetic Resonance Images.
Hsin-Chen ChenYi-Ying WangCheng-Hsien LinChien-Kuo WangI-Ming JouFong-Chin SuYung-Nien SunPublished in: J. Digit. Imaging (2013)
Keyphrases
- magnetic resonance images
- brain mri
- medical images
- brain scans
- partial volume
- brain tumors
- tissue segmentation
- multiple sclerosis lesions
- medical imaging
- mri images
- mr images
- mri brain
- intra subject
- brain structures
- mri scans
- cardiac mri
- bias field
- white matter
- brain tumor segmentation
- partial volume effects
- magnetic resonance imaging
- mri data
- brain tissue
- manual segmentation
- brain atlas
- subcortical structures
- corpus callosum
- image segmentation
- diffusion tensor
- intensity distribution
- medical image analysis
- gray matter
- anatomical structures
- level set
- multiple sclerosis
- magnetic resonance
- deformable models
- brain mr images
- x ray
- diffusion weighted
- image data
- machine learning
- mr imaging
- high resolution
- edge detection
- segmentation method
- segmentation algorithm
- dt mri
- image analysis
- inter subject
- shape prior