Manifold Learning Techniques in Image Analysis of High-dimensional Diffusion Tensor Magnetic Resonance Images.
Parmeshwar KhurdSajjad BalochRuben C. GurChristos DavatzikosRagini VermaPublished in: CVPR (2007)
Keyphrases
- manifold learning
- magnetic resonance images
- diffusion tensor
- high dimensional
- image analysis
- medical imaging
- low dimensional
- white matter
- dimensionality reduction
- medical images
- mr images
- dt mri
- high dimensional data
- medical image analysis
- dimension reduction
- diffusion tensor imaging
- nonlinear dimensionality reduction
- magnetic resonance imaging
- mri data
- pattern recognition
- laplacian eigenmaps
- manifold structure
- diffusion tensor images
- image processing
- image enhancement
- brain tissue
- nearest neighbor
- data points
- corpus callosum
- feature space
- embedding space
- computer vision
- diffusion weighted
- geodesic distance
- remote sensing
- high resolution
- image registration
- input space
- shape analysis
- brain tumors
- parameter space
- locally linear embedding
- diffusion mri
- x ray
- high quality
- anatomical structures
- semi supervised
- principal component analysis
- sparse representation
- tensor field
- brain structures
- deformable models