Good morning Neuroimaging Experts,

I am running CSD probabilistic tractography on the S900 release of the Human Connectome Project dataset. I am trying to convert my .tck files to MNI space, and to do this I followed @eloydelas instructions from 2016, which can be reviewed at this link: https://community.mrtrix.org/t/warping-tck-files-using-ants-warps/162. My ultimate goal is to do the following:

  • Transform .tck tractographies to MNI space
  • Convert tractographies to voxel maps
  • Average together tractographies for all subjects in a common space to create a spatial histogram/probabilistic map using a function like fslmaths in FSL.
  • Calculate Dice Coefficients for the resultant map to assess overlap with ROIs from various atlases
  • Below are examples of subject-space tractographies, and my failed MNI normalization of the same tract:
  • I have attached subject-space tractography and my failed MNI normalization to this post for your reference. They are named accordingly.

    My pipleline is delineated as follows:

    1. Create no-warp images in target space:

    warpinit \

    $FSLDIR/data/standard/MNI152_T1_2mm_brain.nii.gz \

    no-warp-[].nii

    2. Warp target images to subject space:

    for s in ${subjects}

    do

    for n in 0 1 2

    do

    fnirt \

    --ref=dtifit_output/DTI_FA.nii.gz \

    --in=no-warp-${n}.nii \

    --aff=standard2diff_${s}.mat \

    --iout=warp-${n}_${s}.nii

    done

    done

    3. Perform MNI normalisation on .tck images:

    for s in ${subjects}

    do

    tcktransform \

    ifod2_paths.tck \

    warp-[]_${s}.nii \

    ifod2_paths_mni.tck

    done

    4. Please note that I also tried redoing this process perfoming the following intermediary step in FSL:

    for s in ${subjects}

    do

    for n in 0 1 2

    do

    fslorient \

    -copysform2qform \

    warp-${n}_${s}.nii

    done

    done

    I would sincerely appreciate any advice this community may be able to offer!

    Kind regards,

    Linda

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