Manifold learning for atlas selection in multi atlas-based segmentation of hippocampus.
Albert K. Hoang DucMarc ModatKelvin K. LeungTimor KadirSébastien OurselinPublished in: Medical Imaging: Image Processing (2012)
Keyphrases
- manifold learning
- atlas based segmentation
- brain structures
- mr images
- human brain
- manual segmentation
- magnetic resonance images
- medical image analysis
- dimensionality reduction
- quantitative analysis
- low dimensional
- probabilistic atlas
- medical imaging
- shape analysis
- semi supervised
- high dimensional
- deformation field
- nonlinear dimensionality reduction
- feature extraction
- laplacian eigenmaps
- dimension reduction
- high dimensional data
- affine registration
- segmentation method
- shape variations
- segmentation accuracy
- atlas construction
- feature space
- anatomical structures
- x ray
- embedding space
- sparse representation
- image processing
- geodesic distance
- medical images
- shape model
- image data
- automatic segmentation
- image registration
- nearest neighbor
- computer vision
- deformable models