Motivations

A generic algorithm written to manipulate a medical image saved in nifti format usually involves these steps:

1. loading the image with nibabel
2. extract the header or the data
3. apply the algorithm
4. create a new instance of the modified nifti image
5. save the modified image

LABelsToolkit is aimed at reducing these steps in a single command, allowing to have as input and output directly the path to the input and output image.

• The underpinning algorithm is written (and sometimes tested) for arrays-data structure.
• The facade access the underpinning algorithm providing directly the path to the input image.