Adding absolute_peak_values to scil_compute_fodf_metrics.py

[karanphil]

Hi, I added a absolute_peak_values option to scil_compute_fodf_metrics.py, because right now, we return the peak_values normalized per voxel and the peaks are also multiplied by these peak_values, so we kind of have the information in double. Doing so, we lose any idea of peaks scale between the voxels, since the first peak of each voxel has a peak_value of 1.

What I propose is to save the actual peak amplitudes as peak_values and to save the peaks (peak_dirs) as unit vectors. This way, we keep a way to compare between voxels, and we can still easily apply the peak_values per voxel if we want afterwards.

In order to not break any existing pipeline, I put it as an option and kept the legacy way as default.

@CHrlS98 @mdesco @frheault @arnaudbore , I think this concerns you.

[arnaudbore]

Build passed ! Good Job 🍻 !

[CHrlS98]

Should we also add a note in the script description?

[arnaudbore]

Build passed ! Good Job 🍻 !

[CHrlS98]

Nice