hi stam,

quick follow up here: does the current bedpostx_gpu (under 5.0.7/8) not
support these flags?

a previous discussion on the fsl mailing list suggested that it did.

cheers,

satra

On Tue, Feb 17, 2015 at 10:26 AM, Stamatios Sotiropoulos <
[email protected]> wrote:

>  Hi Derek
>
> In the HCP released data, there is a T1w/Diffusion directory.
>
>  If you do
>
> bedpostx T1w/Diffusion -n 3 -model 2 -g —rician
>
> that should run fine. Notice that even if you run that on a big cluster,
> it will take a significant amount of time to finish because of the
> dimensions of the data. We use a version of bedpostx on a GPU cluster to
> run this analysis and this is what we will release, hopefully in the near
> future.
>
>  Best
> Stam
>
>
>   On 17 Feb 2015, at 15:20, Archer,Derek B <[email protected]> wrote:
>
>
>  Hi Matt and Stam,
>
>  I seem to still be having some sort of issue running bedpostx.  I’m
> using:
>
>  bedpostx <subject_directory> --cnonlinear --rician --model=2 --nf=3.
>
>  (The –g option is not available in my version of FSL (5.0.5).  I am on a
> cluster environment.)
>
>  So when I run this line of code, I get the following error:
>  ** ERROR: nifti_convert_nhdr2nim: bad dim[0]
>  ** ERROR: (nifti_image_read): cannot create nifty image from header
> ‘data’
>  ** ERROR: nifti_image_open (data): bad header info
>  ** ERROR: failed to open file data
>
>  The error seems to be with data.nii.gz, but is there error actually
> occurring because I am not feeding in grad_dev.nii.gz via the –g option? Do
> I need a newer version of FSL?
>
>  Thanks,
>  Derek Archer
>
>   *From:* Stamatios Sotiropoulos [
> mailto:[email protected]
> <[email protected]>]
> *Sent:* Monday, February 16, 2015 12:48 PM
> *To:* Archer,Derek B
> *Cc:* [email protected]
>
> *Subject:* Re: [HCP-Users] Processing Diffusion MRI Data
>
>  Hi Derek
>
>   Please notice that model=3 is not officially released yet in FSL. Also,
> there should be a future HCP release in the near future including bedpostx
> results, with the optimal parameters.
>
>   Stam
>
>
>
>   On 16 Feb 2015, at 16:25, Archer,Derek B <[email protected]> wrote:
>
>
>   Matt,
>
> Thanks for the fast reply.  I will use these three inputs in bedpostX.
>
>   Derek
>
>   *From:* Glasser, Matthew [mailto:[email protected]
> <[email protected]>]
> *Sent:* Monday, February 16, 2015 11:24 AM
> *To:* Archer,Derek B; [email protected]
> *Subject:* Re: [HCP-Users] Processing Diffusion MRI Data
>
>   Why do you need to use FLIRT/FNIRT with already registered data?  As
> for the others and aside from the flags you already mention, I think the
> recommendation for bedpostX will include these flags:
>
>   -n 3 (for 3 fibers)
>   --cnonlinear
>   --rician
>   --model=3
>
>   Not all of this may yet be available in the public release (you might
> need to use --model=2 for now).
>
>   Peace,
>
>   Matt.
>
>   *From: *<Archer>, Derek B <[email protected]>
> *Date: *Monday, February 16, 2015 at 9:16 AM
> *To: *"[email protected]" <[email protected]>
> *Subject: *[HCP-Users] Processing Diffusion MRI Data
>
>   Hello,
>
>   I am trying to analyze the preprocessed diffusion data, however, I am
> having some difficulties. Is there some documentation that I could look at
> that outlines how to use bedpostx, FLIRT/FNIRT, DTIFIT and probtrackx with
> this data?
>
>   From what I’ve found in the archives, I need to do the following:
>
>   Bedpostx:  include the –g option
>   FLIRT/FNIRT:  do I include any extra options here?
>   DTIFIT:  include the –gradnonlin option
>
>   Is this all that needs to be done to have this data ready for
> tractography? Or are there steps that I have missed?
>
>   Please let me know if there is any documentation I have failed to
> locate.
>
>   Thanks,
>   Derek Archer
>
>
>
>
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