Semiautomatic segmentation of brain exterior in magnetic resonance images driven by empirical procedures and anatomical knowledge.
Andrew J. WorthNikos MakrisJames W. MeyerVerne S. Caviness Jr.David N. KennedyPublished in: Medical Image Anal. (1998)
Keyphrases
- magnetic resonance images
- semi automatic
- tissue segmentation
- anatomical knowledge
- brain tumors
- ct images
- medical images
- brain structures
- brain mri
- mri brain
- brain tissue
- mri scans
- fully automatic
- vessel segmentation
- left ventricle
- medical imaging
- mr images
- subcortical structures
- hypothesis testing
- brain scans
- partial volume
- gray matter
- brain mr images
- magnetic resonance imaging
- white matter
- brain atlas
- mri data
- partial volume effects
- corpus callosum
- bias field
- diffusion tensor
- high resolution
- human brain
- diffusion weighted
- medical image analysis
- cerebrospinal fluid
- magnetic resonance
- anatomical structures
- machine learning
- brain images
- x ray
- region growing
- deformable registration
- image intensity
- image segmentation
- image processing
- deformable models
- remote sensing
- watershed transform
- imaging modalities
- blood vessels