Four-neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain.
Michael OsadebeyNizar BouguilaDouglas L. ArnoldPublished in: Int. J. Imaging Syst. Technol. (2014)
Keyphrases
- noise reduction
- magnetic resonance images
- brain tissue
- mri scans
- brain tumors
- tissue segmentation
- brain structures
- mri brain
- mr images
- bilateral filter
- brain atlas
- medical images
- diffusion weighted
- signal to noise ratio
- edge preserving
- white matter
- magnetic resonance imaging
- gray matter
- medical imaging
- edge detection
- mri data
- noise removal
- corpus callosum
- brain mr images
- partial volume effects
- median filter
- image segmentation
- brain images
- high resolution
- partial volume
- human brain
- high quality
- optical flow
- medical image analysis
- maximum likelihood
- diffusion tensor
- diffusion mri
- impulse noise
- diffusion tensor images
- cortical surface
- feature space
- multiscale