Toward an automatic tool for oligoclonal band detection in cerebrospinal fluid and tears for multiple sclerosis diagnosis: lane segmentation based on a ribbon univariate open active contour.
Farah HaddadSamuel BoudetLaurent PeyrodieNicolas VandenbrouckePatrick HautecoeurGérard ForzyPublished in: Medical Biol. Eng. Comput. (2020)
Keyphrases
- lesion segmentation
- multiple sclerosis
- active contours
- white matter
- cerebrospinal fluid
- gray matter
- magnetic resonance images
- level set
- shape prior
- segmentation method
- brain mri
- image segmentation
- mr images
- human brain
- object boundaries
- active contour model
- brain tissue
- mri data
- corpus callosum
- skin lesion
- energy functional
- diffusion tensor
- energy function
- level set method
- diffusion tensor imaging
- brain images
- partial volume effects
- curve evolution
- medical images
- brain mr images
- clinical trials
- active shape model
- medical imaging
- region growing
- image processing
- fiber bundles
- magnetic resonance imaging
- segmentation result
- computer aided diagnosis
- automatic segmentation