MUSE

MUSE generates a large ensemble of candidate labels in the target image space using multiple atlases, registration algorithms and smoothness values for these algorithms. The ensemble is then fused into a final segmentation.

An illustration of the MUSE algorithm is given in the following figure.

illustration of the MUSE algorithm


Please cite our work in [NeuroImage2015] when referencing MUSE in your research

 

GITHUB: https://github.com/CBICA/MUSE
NITRC: https://www.nitrc.org/projects/cbica_muse/