these return 3D images with the binary or probabilistic mask
in a new image.Image with the name set to the label name
and the same NIFTI header as the atlas

makes the output

transform.decompose test

- (..., 3, 3) full diffusion tensors
- (..., 6) unique components
- tuple of eigenvectors & eigenvalues

There should be full test coverage of these new functions,
but coverage.py is currently not working for me, so not 100% sure.

Michiel Cottaar authored 6 years ago and Paul McCarthy committed 6 years ago

The functionality of merging multiple jobs is now ensured by allowing
for nested sequences of job-ids.

Also, a couple of FNIRT fixes - Jacobian option is an image and a couple of
options that were previously compulsary are now optional (because they are
not required in certain circumstances)