Bayesian automated cortical segmentation for neonatal MRI.
Zane ChouNatacha PaquetteBhavana GaneshYalin WangRafael CeschinMarvin D. NelsonLuke MacyszynBilwaj GaonkarAshok PanigrahyNatasha LeporéPublished in: SIPAIM (2017)
Keyphrases
- brain mri
- magnetic resonance images
- mri data
- brain scans
- brain structures
- medical images
- mr images
- fully automatic
- magnetic resonance imaging
- gray matter
- partial volume
- subcortical structures
- region growing
- anatomical structures
- medical imaging
- white matter
- cortical thickness
- mri images
- mri scans
- image segmentation
- fully automated
- segmentation accuracy
- medical image analysis
- automated segmentation
- tissue segmentation
- human brain
- brain tumors
- accurate segmentation
- mr imaging
- manual segmentation
- intensity distribution
- brain mapping
- segmentation method
- carotid artery
- brain mr images
- bayesian networks
- minimum description length
- automatic segmentation
- shape prior
- segmentation algorithm
- brain tissue
- positron emission tomography
- automated analysis
- basal ganglia
- atlas based segmentation
- bias field
- brain segmentation
- intra subject
- image data
- multiscale