White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections.
Dakai JinZiyue XuAdam P. HarrisonDaniel J. MolluraPublished in: ISBI (2018)
Keyphrases
- white matter
- gray matter
- diffusion tensor images
- partial volume effects
- magnetic resonance images
- mr brain images
- segmentation algorithm
- cerebrospinal fluid
- mri data
- mr images
- grey matter
- segmentation method
- corpus callosum
- brain mr images
- human brain
- mri images
- multiple sclerosis
- image data
- image analysis
- brain images
- brain tumors
- grey level
- partial volume
- brain tissue
- accurate segmentation
- diffusion tensor imaging
- input image
- image registration
- tensor field
- fiber bundles
- brain mri
- diffusion tensor
- segmented images
- medical images
- edge detection
- multiscale
- convolutional neural networks
- diffusion imaging
- intensity distribution
- watershed transform
- three dimensional
- image segmentation
- dt mri
- magnetic resonance
- region growing
- segmentation result
- computer vision
- quantitative evaluation
- magnetic resonance imaging
- high angular resolution diffusion imaging
- deformable registration
- positron emission tomography
- fully automatic
- ground truth