Segmentation of the C57BL/6J mouse cerebellum in magnetic resonance images.
Jeremy F. P. UllmannMarianne D. KellerCharles WatsonAndrew L. JankeNyoman D. KurniawanZhengyi YangKay RichardsGeorge PaxinosGary F. EganSteven PetrouPerry F. BartlettGraham J. GallowayDavid C. ReutensPublished in: NeuroImage (2012)
Keyphrases
- magnetic resonance images
- brain mri
- medical images
- brain scans
- partial volume
- brain tumors
- tissue segmentation
- multiple sclerosis lesions
- medical imaging
- mr images
- mri images
- bias field
- brain structures
- intra subject
- white matter
- magnetic resonance imaging
- mri brain
- subcortical structures
- cardiac mri
- gray matter
- brain tissue
- intensity distribution
- brain tumor segmentation
- mri data
- accurate segmentation
- mr imaging
- medical image analysis
- level set
- anatomical structures
- partial volume effects
- corpus callosum
- manual segmentation
- high resolution
- multiple sclerosis
- brain mr images
- diffusion tensor
- image intensity
- brain atlas
- diffusion weighted
- segmentation method
- image segmentation
- region growing
- segmentation algorithm
- multiscale
- magnetic resonance
- diffusion tensor imaging
- image data
- image analysis