Eddy correction error

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William McCuddy

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Mar 24, 2024, 7:17:15 PMMar 24
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Hi Frank, 

Any idea what might be causing the following error with eddy correction:
eddy cannot process this data: The process crashed some time after starting successfully.

I will attach the src file to the private link for review. 

The B value is pretty low (1000) and I do not have a rev phase for topup. I've resampled to isometric voxel size with fsl. I wouldn't think factors would cause an issue but maybe I'm wrong. The data are not acpc aligned but I ran into the same error using an src file that i did align to acpc with dsi studio. 

Any guidance would be much appreciated!

Thanks,

Travis

Frank Yeh

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Mar 25, 2024, 12:38:09 PMMar 25
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I could process eddy on your data without a problem on my side.
(Usually we won't apply any resampling before eddy.)

I would suggest update DSI Studio or try it on another computer to see
if you may find the cause.

Frank
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Frank Yeh

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Mar 26, 2024, 7:04:29 PMMar 26
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Have you tried other computers?
You may also test the CPU version and see if it works.
Frank

On Mon, Mar 25, 2024 at 11:42 PM William McCuddy <wtmc...@gmail.com> wrote:
>
> Updating dsi studio did not work. Does the gpu version of the eddy correction program inside dsi studio require cuda toolkit? I have the cuda driver installed and am able to perform normalization procedures within dsi studio using the gpu.
> To view this discussion on the web visit https://groups.google.com/d/msgid/dsi-studio/401931b0-8731-4cb8-ab2a-f6a4128c6e2bn%40googlegroups.com.
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William McCuddy

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Mar 26, 2024, 10:39:46 PMMar 26
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Hey Frank, 

Turns out I did not have cuda toolbox installed on my windows OS. When I tried to run fsl eddy directly from the executable I got a cuda error which pointed me to the issue. Eddy worked just fine in DSI studio after installing the toolbox. I wouldn't have thought to test it that way if you hadn't tested the src i uploaded and gotten it to work on your computer. Thank you! 

Now I've run into a few potential issues and I also have a couple of general questions I would love to get your perspective on (let me know if I should re ask them in a separate thread). A basic outline of the current project with questions/issues in bold font below:

The goal of my current diffusion project is to use dsi studio from the command line to automatically identify major white matter bundles at the individual subject level to obtain specific tract bundles and save as 1) nifti files in the subjects native T1 space (to which all other image modalities are being aligned) and 2) as trk files in the subjects native diffusion space (for a separate project). 
The pipeline that makes sense to me and the potential issues with dsi studio are listed below:
1-generate src 
2-apply topup/eddy to src
3-resample t1 to 1mm isotropic voxel size (acquired voxel size is 0.5 x 0.5 x 1), skull strip, and get brain mask
4-resample dti to 1mm (acquired voxel size is 1.5 x 1.5 x 3) and apply brain mask
5-linear registration of dti to t1 (without shearing) **From the command line, I don't see an option to save transformation matrix for linear transformations (not a huge issue as this can be done with other programs, but I have struggled to apply the inverse of these transforms to trk files and was hoping dsi studio would make this easy for me like the apply_warp and inv-warp option for .tt.gz files for nonlinear transformations. Is this possible)** 
6-perform automatic tracking with --action=atk and --trk_format=trk **in your experience, do you think automatic tracking with shape analysis performs better or worse that action=trk (assuming near optimal parameter settings) in subjects with large lesions?**
7-save tracts as nifti in slice space **I don't see the option for this from the command line when doing automatic tracking via --action=atk although this ability is listed as an option when doing --action=trk with the --ref command. Would it be possible to add the --ref command to the atk function to enable saving tracts as a nifit in the t1 space along with the --trk_format option to save also as trk in loaded diffusion space
8-Apply the reverse linear transformation to the tract.trk files to undo step 4 in order to get the trk files back in their original, pre transformed space (which is needed for compatibility with another processing pipeline). **Does dsi studio have a way of applying linear transformations (or their inverse) to trk files?** I have tried several python scripts with no luck.  

In my troubleshooting I've also noticed that  --action=reg seems to let the user apply warps to tt.gz files but not to trk or trk.gz files (see examples below). Is this just a limitation of trk files? 

Example error when trying to apply warp to .trk file:
Command: dsi_studio.exe --action=reg --apply_warp=CorticospinalTractL.trk --inv_warp=rB0_warp.map.gz > log.txt
Output: [1;34mDSI Studio version: Chen"陳" Mar 19 2024 [0m
├─CUDA Driver Version: 12040 CUDA Run Time Version: 12020
│ │ device count: 2
│ │ device number: 0
│ │ arch: 86
│ │ device name: NVIDIA RTX A4500
│ │ memory clock rate (KHz): 8001000
│ │ memory bus width (bits): 320
│ │ peak memory bandwidth (GB/s): 640.08
│ │ device number: 1
│ │ arch: 86
│ │ device name: NVIDIA RTX A4500
│ │ memory clock rate (KHz): 8001000
│ │ memory bus width (bits): 320
│ │ peak memory bandwidth (GB/s): 640.08
| [0;33mDSI Studio version [0m: Chen"陳" CPU/GPU computation enabled
| [0;32maction [0m=reg
| [0;32msource [0m=
| [0;32mloop [0m=
|- [1;34mrun reg [0m
| | loading warping field
| | [0;32minv_warp [0m=C:\NeuroimagingTools\Data\dti_temp\rB0_warp.map.gz
| | [0;32mapply_warp [0m=C:\NeuroimagingTools\Data\dti_temp\tracks\CorticospinalTractL.trk
| |_368 ms
|_531 ms
(notice no saving of the file)

No error when applying warp to tt.gz file 
Command: dsi_studio.exe --action=reg --apply_warp=CorticospinalTractL.tt.gz --inv_warp=rB0_warp.map.gz > log.txt

Output: [1;34mDSI Studio version: Chen"陳" Mar 19 2024 [0m
├─CUDA Driver Version: 12040 CUDA Run Time Version: 12020
│ │ device count: 2
│ │ device number: 0
│ │ arch: 86
│ │ device name: NVIDIA RTX A4500
│ │ memory clock rate (KHz): 8001000
│ │ memory bus width (bits): 320
│ │ peak memory bandwidth (GB/s): 640.08
│ │ device number: 1
│ │ arch: 86
│ │ device name: NVIDIA RTX A4500
│ │ memory clock rate (KHz): 8001000
│ │ memory bus width (bits): 320
│ │ peak memory bandwidth (GB/s): 640.08
| [0;33mDSI Studio version [0m: Chen"陳" CPU/GPU computation enabled
| [0;32maction [0m=reg
| [0;32msource [0m=
| [0;32mloop [0m=
|- [1;34mrun reg [0m
| | loading warping field
| | [0;32minv_warp [0m=C:\NeuroimagingTools\Data\dti_temp\rB0_warp.map.gz
| | [0;32mapply_warp [0m=C:\NeuroimagingTools\Data\dti_temp\tracks\CorticospinalTractL.tt.gz
| | apply warping to C:\NeuroimagingTools\Data\dti_temp\tracks\CorticospinalTractL.tt.gz
| |- [1;34mloading [0m
| | |_49 ms
| | save as C:\NeuroimagingTools\Data\dti_temp\tracks\CorticospinalTractL.tt.gz.wp.tt.gz
| |- [1;34msave trajectories to CorticospinalTractL.tt.gz.wp.tt.gz [0m
| | |- [1;34mcompressing trajectories [0m
| | | |_28 ms
| | |- [1;34msaving file [0m
| | | |_279 ms
| | |_313 ms
| |_760 ms
|_951 ms



Sorry for the long post. This is a bit more than I was planning on asking about, but I'm hoping to get these issues squared away soon.  As always, that you for your help and incredible responsiveness!! 

Travis

Frank Yeh

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Mar 27, 2024, 5:24:36 PMMar 27
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> Turns out I did not have cuda toolbox installed on my windows OS. When I tried to run fsl eddy directly from the executable I got a cuda error which pointed me to the issue. Eddy worked just fine in DSI studio after installing the toolbox. I wouldn't have thought to test it that way if you hadn't tested the src i uploaded and gotten it to work on your computer. Thank you!

Glad it worked!

>
>
> 5-linear registration of dti to t1 (without shearing) **From the command line, I don't see an option to save transformation matrix for linear transformations (not a huge issue as this can be done with other programs, but I have struggled to apply the inverse of these transforms to trk files and was hoping dsi studio would make this easy for me like the apply_warp and inv-warp option for .tt.gz files for nonlinear transformations. Is this possible)**

--action=reg should also works with tt.gz files

> 6-perform automatic tracking with --action=atk and --trk_format=trk **in your experience, do you think automatic tracking with shape analysis performs better or worse that action=trk (assuming near optimal parameter settings) in subjects with large lesions?**

I don't have a specific recommendation for large lesions. It seems
that atk and trk may have their pros and cons.
BTW, I would suggest using tt format.

> 7-save tracts as nifti in slice space **I don't see the option for this from the command line when doing automatic tracking via --action=atk although this ability is listed as an option when doing --action=trk with the --ref command. Would it be possible to add the --ref command to the atk function to enable saving tracts as a nifit in the t1 space along with the --trk_format option to save also as trk in loaded diffusion space?

--action=trk would be a better fit here for output results in a reference space.

> 8-Apply the reverse linear transformation to the tract.trk files to undo step 4 in order to get the trk files back in their original, pre transformed space (which is needed for compatibility with another processing pipeline). **Does dsi studio have a way of applying linear transformations (or their inverse) to trk files?** I have tried several python scripts with no luck.

--action=reg should also work with tt.gz files. If not, I will fix it asap.
>
> In my troubleshooting I've also noticed that --action=reg seems to let the user apply warps to tt.gz files but not to trk or trk.gz files (see examples below). Is this just a limitation of trk files?

Yes, because there is additional space information needed to warp the
tracts, and currently only tt.gz format can complete the work.


Best,
Frank
> To view this discussion on the web visit https://groups.google.com/d/msgid/dsi-studio/67cadfa5-b859-409c-8247-d3e0bc8e51f5n%40googlegroups.com.

William McCuddy

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Mar 29, 2024, 11:42:43 PMMar 29
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Thank you for this information, Frank!. 
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