Dwibiascorrect and mtnormalise for HCP data

[ruifate]

Hi guys,

I am working on the minimally preprocessed dwi data in the human connectome project. I would like to compare FODs acorss different subjects in the dataset. Would it be possible to run the following commands: dwibiascorrect --> dwi2fod --> mtnormalise to get what I want. Thank you very much!

Best regards,
Rui

[ThijsDhollander]

Hi @ruifate,

Hope you’re doing well.

@ruifate

I am working on the minimally preprocessed dwi data in the human connectome project. I would like to compare FODs acorss different subjects in the dataset. Would it be possible to run the following commands: dwibiascorrect → dwi2fod → mtnormalise to get what I want.

You don’t need dwibiascorrect as long as you’re using mtnormalise. The latter performs both global intensity normalisation as well as bias field correction, more robustly than dwibiascorrect generally does.

On a similar note, take a look at these 2 recent topics and the replies; they’re also providing some additional insight:

• About how global intensity normalisation is covered by mtnormalise.
• About how bias field correction is covered by mtnormalise
• In the latter topic, note my small warning on gradient non-linearities. This is particularly relevant for the minimally preprocessed dMRI data of the HCP!

Hope that helps!

Cheers & take care,
Thijs

[ruifate]

Thanks Thijs. I will use mtnormalise only to correct FODs in HCP.