Segmentation of thalamic nuclei using a modified k-means clustering algorithm and high-resolution quantitative magnetic resonance imaging at 1.5 T.
Sean C. L. DeoniBrian K. RuttAndrew G. ParrentTerry M. PetersPublished in: NeuroImage (2007)
Keyphrases
- magnetic resonance imaging
- medical images
- magnetic resonance images
- mri images
- medical imaging
- high resolution
- mri data
- brain mri
- positron emission tomography
- partial volume
- partial volume effects
- breast mri
- brain tumors
- thalamic nuclei
- image segmentation
- low resolution
- lesion segmentation
- remote sensing
- carotid artery
- diffusion tensor images
- anatomical structures
- image processing
- medical image analysis
- image analysis
- imaging modalities
- mr images
- human brain
- beating heart
- brain tissue
- fully automatic
- segmentation algorithm
- ct images
- deformable models
- phase unwrapping
- brain images
- region growing
- high quality
- dce mri
- computer vision
- x ray
- shape prior
- gray matter
- magnetic resonance
- pattern recognition
- brain structures
- super resolution