[Camino-users] problem with dtfit output

[Mojdeh Zamyadi]

Hi all,

I have a question regarding the output of dtfit. I've done the following 
steps:

###################################################
fsl2scheme -bvecfile preproc/bvecs_rot -bvalfile DTI.bval > bvec_rot.scheme

export CAMINO_HEAP_SIZE=2000
image2voxel -4dimage preproc/DTI_ec.nii.gz > DTI_ec_VoxelOrder.Bfloat

dtfit camino_analysis/DTI_ec_VoxelOrder.Bfloat 
camino_analysis/bvec_rot.scheme > camino_analysis/DiffTensor.Bdouble
dtfit camino_analysis/DTI_ec_VoxelOrder.Bfloat 
camino_analysis/bvec_rot.scheme | fa > camino_analysis/FA.Bdouble
dtfit camino_analysis/DTI_ec_VoxelOrder.Bfloat 
camino_analysis/bvec_rot.scheme | dteig > camino_analysis/Eigen.Bdouble

###################################################

DTI_ec.nii.gz: 4D DTI image (32 directions + 1 B0) after eddy current 
correction using FSL.
bvecs_rot: the rotated gradient table (using the eddy_correct 
transformations)

Now, when I use pdview (using the following command), I get a very weird 
looking eigenvector map!
dteig < camino_analysis/Eigen.Bdouble | pdview -datadims 256 256 70 
-inputmodel dteig

Can anyone tell if I'm doing anything wrong? I know the orientation of 
the gradients might be off by a +/- or the axes might be flipped and so 
the direction of the eigen vectors might be flipped, but what I get 
right now doesn't look anything like a brain!

Thanks for your help in advance,
-Mojdeh