An anatomical knowledge-based MRI deep learning pipeline for white matter hyperintensity quantification associated with cognitive impairment.
Li LiangPengZheng ZhouWanxin LuXutao GuoChenfei YeHaiyan LvTong WangTing MaPublished in: Comput. Medical Imaging Graph. (2021)
Keyphrases
- deep learning
- white matter
- cognitive impairment
- grey matter
- magnetic resonance images
- medical images
- older adults
- mri data
- fiber bundles
- human brain
- brain anatomy
- magnetic resonance imaging
- unsupervised learning
- mr images
- diffusion tensor imaging
- gray matter
- brain structures
- multiple sclerosis
- corpus callosum
- diffusion mri
- cortical thickness
- cerebrospinal fluid
- brain tissue
- diffusion tensor
- brain images
- machine learning
- diffusion tensor images
- anatomical structures
- three dimensional
- partial volume effects
- medical imaging
- magnetic resonance
- mental models
- cortical surface
- tensor field
- inter subject
- brain tumors
- decision support system
- mri scans
- partial volume
- semi supervised
- reinforcement learning
- mri images