Hello,
After visualising the original tractography results (non-filtered) with CMTK below, something has obviously gone wrong in that only a relatively smalled amount of fibers have been tracked.
The input to diffusion toolkit was generated using dti_recon, and a wm mask was generated during the earlier stages of the pipeline.
runCmd : Running: /usr/lib/python2.6/site-packages/cmp/binary/linux2/bit64/DTB_streamline –dir /home/alistair/networkD/projects2/2896/wave4/CMP/raw_diffusion/dti_0/dti_dir.nii –wm /home/alistair/networkD/projects2/2896/wave4/CMP/fs_output/HR__registered-TO-b0/fsmask_1mm__8bit.nii –out /home/alistair/networkD/projects2/2896/wave4/CMP/fibers/streamline.trk –angle 60 –seeds 32
Could you pinpoint the inaccuracies in tractrography due to the DTI image and the mask, as you can see they have different dimensions to each other.
Or could it be perhaps due to an error a stage during dti_recon, as you can see here after inserting a custom gradient table.
DEBUG : 2012-11-27 13:46:07,987 : runCmd : Running: dti_recon /home/alistair/networkD/projects/2896/wave4/CMP/raw_diffusion/DTI_resampled_2x2x2.nii.gz /home/alistair/networkD/projects/2896/wave4/CMP/raw_diffusion/dti_0/dti_ -b0 1 -b 2400 -gm /home/alistair/networkD/dti/bs/2896_w4.gradient -ot niiINFO : 2012-11-27 13:46:08,488 : main : Need at least 6 gradient directions to reconstruct DTI data.INFO : 2012-11-27 13:46:08,488 : main : Cannot load gradient matrix from /home/alistair/networkD/dti/bs/2896_w4.gradient
I manually changed the Maximum b-value to 2400.
I have visualised all the segmentations and registrations, and they are all correct.
Thanks.
1. open TrackVis
File->open track. -> Load
$project_dir/$subID/$tp/CMP/fibers/streamlne_final_freesurferaparc.trk
2. slice filter
change the value after "Y" to half of it's default (if it is 129 change to 64...).
expand "Y" by clicking the triangle in front of it, then change the thickness to 129. This will gave you the space to see all the fibers in the brain.