Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data.
Sophie LoizillonSimona BottaniAurélien MaireSebastian StröerDidier DormontOlivier ColliotNinon BurgosPublished in: Medical Image Anal. (2024)
Keyphrases
- synthetic data
- data warehouse
- magnetic resonance images
- brain tissue
- disease progression
- mri data
- multiple sclerosis
- data warehousing
- brain tumors
- tissue segmentation
- mr images
- brain structures
- medical images
- white matter
- diffusion weighted
- business intelligence
- decision support system
- real world
- multidimensional analysis
- decision support
- brain atlas
- medical imaging
- data mining
- brain images
- brain mri
- partial volume effects
- data sets
- data management
- databases
- magnetic resonance imaging
- gray matter
- data analysis
- high resolution
- olap queries
- myocardial infarction
- real image data
- data sources
- corpus callosum
- diffusion tensor
- data warehouse design
- human brain
- metadata
- brain mr images
- materialized views
- magnetic resonance
- multidimensional data
- medical image analysis
- query execution
- fully automatic
- brain imaging
- clinical trials
- diffusion tensor images
- data model
- diffusion mri
- data cube
- x ray
- on line analytical processing
- anatomical structures
- database
- semi automatic