Hippocampus and amygdala volumes from magnetic resonance images in children: Assessing accuracy of FreeSurfer and FSL against manual segmentation.
Dorothee SchoemakerClaudia BussKevin HeadCurt A. SandmanElysia Poggi DavisM. Mallar ChakravartySerge GauthierJens C. PruessnerPublished in: NeuroImage (2016)
Keyphrases
- magnetic resonance images
- manual segmentation
- mr images
- segmentation accuracy
- medical images
- mri data
- subcortical structures
- magnetic resonance
- brain structures
- automated segmentation
- automatic segmentation
- brain tissue
- white matter
- inter and intra observer
- magnetic resonance imaging
- medical imaging
- image data
- brain mri
- inter observer variability
- brain tumors
- diffusion tensor
- mri images
- fully automated
- medical image analysis
- pattern recognition
- ground truth
- high resolution
- short axis
- three dimensional
- lesion segmentation
- fully automatic
- ct images
- gold standard