Automatic skull segmentation from MR images for realistic volume conductor models of the head: Assessment of the state-of-the-art.
Jesper D. NielsenKristoffer Hougaard MadsenOula PuontiHartwig R. SiebnerChristian BauerCamilla Gøbel MadsenGuilherme B. SaturninoAxel ThielscherPublished in: NeuroImage (2018)
Keyphrases
- mr images
- cerebrospinal fluid
- medical images
- accurate segmentation
- magnetic resonance
- brain mr images
- magnetic resonance images
- partial volume
- brain tumors
- lesion segmentation
- mr brain
- skull stripping
- mr imaging
- mri data
- mri images
- intensity inhomogeneity
- brain structures
- mr brain images
- manual segmentation
- image volumes
- bias field
- intensity distribution
- brain images
- gray matter
- image segmentation
- phantom images
- contrast enhanced
- white matter
- inhomogeneity correction
- partial volume effects
- cardiac magnetic resonance
- mid sagittal plane
- brain mri
- nonrigid registration
- fully automatic
- image data
- prostate cancer
- brain segmentation
- adaptive thresholding
- multiple sclerosis
- brain tissue
- medical image analysis
- tissue segmentation
- quantitative evaluation
- magnetic resonance imaging
- region growing
- dice similarity coefficient
- level set