Segmentation of brain magnetic resonance images through morphological operators and geodesic distance.
Juan Ignacio PastoreEmilce G. MolerVirginia L. BallarinPublished in: Digit. Signal Process. (2005)
Keyphrases
- magnetic resonance images
- skull stripping
- morphological operators
- tissue segmentation
- brain tumors
- geodesic distance
- medical images
- brain structures
- brain tissue
- partial volume
- brain scans
- medical imaging
- bias field
- mathematical morphology
- gray matter
- mr images
- magnetic resonance imaging
- white matter
- mri data
- diffusion weighted
- euclidean space
- diffusion tensor
- manifold learning
- euclidean distance
- brain images
- human brain
- shortest path
- x ray
- high resolution
- level set
- multiscale
- image segmentation
- neural network
- distance transform
- structuring elements
- gray scale
- pattern recognition