Details
BIANCA is a fully automated, supervised method for white matter hyperintensities (WMH) detection, based on the k-nearest neighbour (k-NN) algorithm. BIANCA classifies the image’s voxels based on their intensity and spatial features, and the output image represents the probability per voxel of being WMH. BIANCA is very flexible in terms of MRI modalities to use and offers different options for weighting the spatial information, local spatial intensity averaging, and different options for the choice of the number and location of the training points.
- Developer
- Ludovica Griffanti
- Lesion Type
- White matter hyperintensity
- Image Type
- Diffusion tensor imaging, Diffusion weighted imaging, FLAIR, MRI, Proton density, T1, T2
- Website
- https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/BIANCA
Additional Information
- DOI Citation
- Pubmed Citation
- Dependencies
- FSL
- Availability
- Download
- License
- https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Licence
- Academic Use
- Free
- Commercial Use
- At Cost
- Development Status
- Stable
- Ongoing Support
- Yes
- Source Type
- Open Source
- Validation Status
- 2+ Independent Sample