Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images.
Rafael Ortiz-RamonMaria del C. Valdés HernándezVíctor González-CastroStephen D. MakinPaul A. ArmitageBenjamin S. AribisalaMark E. BastinIan J. DearyJoanna M. WardlawDavid MoratalPublished in: Comput. Medical Imaging Graph. (2019)
Keyphrases
- texture analysis
- magnetic resonance images
- multiple sclerosis
- brain tissue
- multiple sclerosis lesions
- mri scans
- brain tumors
- image analysis
- tissue segmentation
- white matter
- grey matter
- brain structures
- medical images
- diffusion weighted
- mr images
- multiresolution
- texture classification
- texture segmentation
- medical imaging
- brain mri
- texture features
- brain atlas
- texture discrimination
- gray level
- gabor filters
- gray matter
- magnetic resonance imaging
- high resolution
- texture images
- medical image analysis
- mri data
- local binary pattern
- partial volume effects
- feature extraction
- brain images
- corpus callosum
- computer aided diagnosis
- human brain
- co occurrence
- diffusion tensor
- wavelet transform
- magnetic resonance
- neural network
- partial volume
- automatic segmentation
- cerebrospinal fluid
- brain mr images
- distance measure
- image data
- image processing