Automatic falx cerebri and tentorium cerebelli segmentation from magnetic resonance images.
Jeffrey GlaisterAaron CarassDzung L. PhamJohn A. ButmanJerry L. PrincePublished in: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
Keyphrases
- magnetic resonance images
- brain mri
- medical images
- partial volume
- brain scans
- lesion segmentation
- brain tumors
- multiple sclerosis lesions
- tissue segmentation
- medical imaging
- mr images
- bias field
- intra subject
- brain structures
- mri images
- mri brain
- fully automatic
- accurate segmentation
- mri data
- gray matter
- white matter
- corpus callosum
- brain tissue
- manual segmentation
- magnetic resonance imaging
- multiple sclerosis
- cardiac mri
- high resolution
- intensity distribution
- diffusion tensor
- medical image analysis
- image segmentation
- segmentation algorithm
- brain tumor segmentation
- mr imaging
- segmentation method
- anatomical structures
- deformable models
- brain atlas
- partial volume effects
- diffusion weighted
- level set
- subcortical structures
- multiscale
- pattern recognition
- image registration
- semi automatic
- magnetic resonance
- markov random field
- region growing
- image intensity