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This docker and singularity image bundles the tgv-qsm algorithm with bet2, dcm2niix and provides a complete QSM processing pipeline.

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qsm's Issues

SWI image

Hello,

I was wondering wheather I can use the SWI magnitude and phase images as input for the QSM reconstruction instead of the gradient echo data (GRE). I have done it and I was able to obtain the QSM final map. Do you know if I can rely on those results?

Thank you so much,

Marina.

Single pass

Hi,

I have tried running the QSM reconstruction using the --single_pass option. I would like to know what is the exact difference If I use this option or not. From what I understand, if I use the single pass option it runs a single QSM reconstruction per echo instead of two, so for the reconstruction it uses a mask produced by thresholding and binarising the magnitude signal, but it is skipping the second reconstruction which applies morphological operations. Is that correct?

Thank you so much,

Marina.

multi echo

Hi, I was wondering if the qsm pipleine can deal with multiecho data? I have tried to use the QSMxT for multiecho data but then I also need the T1w and T2*w right?

qsm versus QSMxT

I wonder what are -in a nutshell- the similarities/differences between this pipeline and the QSMxT one? Is one an evolution of the other and therefore recommended to be used generally or simply tackle different goals/use-cases?

thanks!

First try with docker on Mac..

Hi I just tried the docker tool on my mac on the test data provided with the python code and got the following output:

root@8bd479b57fd0:/data# tgv_qsm -p epi3d_test_phase.nii.gz -m epi3d_test_mask.nii.gz -f 2.89 -t 0.027 -o epi3d_test_QSM

TGV-QSM <<<<<


loading files...
phase: epi3d_test_phase.nii.gz
mask: epi3d_test_mask.nii.gz
output: epi3d_test_phaseepi3d_test_QSM_{number:03d}.nii.gz
Resampling phase data...
/usr/lib/python2.7/dist-packages/scipy/ndimage/interpolation.py:430: UserWarning: The behaviour of affine_transform with a one-dimensional array supplied for the matrix parameter has changed in scipy 0.18.0.
"The behaviour of affine_transform with a one-dimensional "
Resampling magnitude/mask data...
Data looks good!
Processing initial laplacian of epi3d_test_phase.nii.gz ...
Processing QSM epi3d_test_phase.nii.gz ...
Factor 1.0 (1 of 1) - alpha = (0.0015, 0.0005)
Iterations: 1000 (1 of 1)
Progress: [ ] 0.0% Illegal instruction
root@8bd479b57fd0:/data#

Do yo have any insights on what could be wrong?

Thank you again for sharing this useful tool!

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