Getting Started

pymerlin is a toolbox for doing motion correction of MERLIN acquisitions. It works together with RIESLING. The main steps in the motion correction framework includes:

1. Divide the complete radial dataset into interleaves (riesling)

2. Reconstruct each interleave into low-resolution navigator images (riesling)

3. Register each navigator to a target navigator, typically the first one (pymerlin)

4. Correct the k-space data for each interleave and combine to a motion-corrected dataset (pymerlin)

5. Reconstruct the final motion corrected image (riesling)

Details of pipelines that implements this can be found on the Pipelines page.

If you want to try pymerlin but don’t have any data to try it with, have a look in the merlin_mrm repository which includes a demo using a 3D Shepp Logan phantom generated by riesling, applies motion to the k-space data, and runs motion correction on it.