A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions.
Navid ShieePierre-Louis BazinArzu OzturkDaniel S. ReichPeter A. CalabresiDzung L. PhamPublished in: NeuroImage (2010)
Keyphrases
- brain images
- multiple sclerosis lesions
- topology preserving
- magnetic resonance images
- medical images
- white matter
- mr brain images
- brain structures
- human brain
- brain tumors
- mr images
- magnetic resonance
- brain tissue
- deformation field
- competitive learning
- binary images
- level set method
- self organizing maps
- deformable registration
- magnetic resonance imaging
- medical imaging
- medical image analysis
- diffusion tensor
- partial volume
- image intensity
- image segmentation
- deformable models
- anatomical structures
- gray matter
- brain mr images
- mutual information
- level set
- accurate segmentation
- segmentation algorithm
- region growing
- mri data
- neural network
- gray scale
- thinning algorithm
- segmentation method
- image analysis
- diffusion tensor imaging
- shape prior
- multiscale
- human subjects
- three dimensional
- cerebrospinal fluid