Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
Hugo J. KuijfAdrià CasamitjanaD. Louis CollinsMahsa DadarAchilleas GeorgiouMohsen GhafoorianDakai JinApril KhademiJesse KnightHongwei LiXavier LladóJ. Matthijs BiesbroekMiguel LunaQaiser MahmoodRichard McKinleyAlireza MehrtashSébastien OurselinBo-yong ParkHyunjin ParkSang Hyun ParkSimon PezoldÉlodie PuybareauJeroen de BresserLetícia RittnerCarole H. SudreSergi ValverdeVerónica VilaplanaRoland WiestYongchao XuZiyue XuGuodong ZengJianguo ZhangGuoyan ZhengRutger HeinenChristopher ChenWiesje M. van der FlierFrederik BarkhofMax A. ViergeverGeert Jan BiesselsSimon AndermattMariana P. BentoMatt BersethMikhail BelyaevM. Jorge CardosoPublished in: IEEE Trans. Medical Imaging (2019)
Keyphrases
- automatic segmentation
- brain tissue
- white matter
- segmentation algorithm
- fiber bundles
- accurate segmentation
- grey matter
- automatically segmenting
- gray matter
- semi automatic segmentation
- manual segmentation
- cerebrospinal fluid
- brain mr images
- corpus callosum
- magnetic resonance images
- human brain
- mri data
- partial volume effects
- region growing
- diffusion tensor imaging
- image segmentation
- mr brain images
- diffusion tensor images
- segmentation method
- medical images
- segmentation result
- brain images
- graph cuts
- diffusion tensor
- brain mri
- active shape model
- image processing
- brain tumors
- partial volume
- atlas construction
- mr images
- medical imaging
- tensor field
- image analysis
- input image
- computer vision
- magnetic resonance
- shape prior