ENH: Add RGB outputs for diffusion qc

[araikes]

• visualqc version: master
• Python version: 3.10
• Operating System: Centos7

Description

Directionally encoded color maps would be helpful to assess correct ordering of the b-vector files relative to the image files. Conventions are red: left/right, green: anterior/poster, blue: superior/inferior. This would also help to provide a rough assessment of image quality.

DIPY has the ability to produce the requisite files
https://dipy.org/documentation/1.7.0/examples_built/07_reconstruction/reconst_dti/#sphx-glr-examples-built-07-reconstruction-reconst-dti-py

[raamana]

thanks Adam for this great suggestion! I can't recall our discussion at NACC meeting accurately, but would you have the time and interest to contribute this? that'd be fantastic (and I'd be happy to walk you through the codebase), but no pressure at all as I know you are too busy.

[araikes]

Yes, happy to work on it as I have time.

Any objection to using DIPY as a requirement?

[raamana]

great - no I do not have any objection at all. let me know if you want me to walk you through the codebase.

since this is needed only for the diffusion modules (not for 5 others), we might need to implement some input validation logic to ensure dipy is installed for usages of diffusion visualqc module.

if it requires only a small parts of dipy, better solution would be include those parts in our library (assuming dipy allows that etc) so it would be easier and faster for users.