Hi Michael,

Thanks for the suggestion! By default, we are using the 3D correction on 
the scanner. But I applied the 2D correction to the ND data set 
separately to see what it looks like. The result is different from both 
the 3D-scanner-correction and the offline-correction but looks 
reasonable too.

Is it the case that for HCP data the scanner-corrected images look 
almost exactly the same as the offline-corrected images or is it 
ok/normal for them to differ a bit, especially further away from the 
isocenter?

Cheers,

Kristian


On 11.04.2018 15:42, Harms, Michael wrote:
> 
> One thought: Are you sure you are using the ā€œ3Dā€ (and not the ā€œ2Dā€) 
> correction on the scanner?
> 
> --
> Michael Harms, Ph.D.
> 
> -----------------------------------------------------------
> 
> Associate Professor of Psychiatry
> 
> Washington University School of Medicine
> 
> Department of Psychiatry, Box 8134
> 
> 660 South Euclid Ave.                        Tel: 314-747-6173
> 
> St. Louis, MO  63110                          Email: mha...@wustl.edu
> 
> On 4/11/18, 8:31 AM, "hcp-users-boun...@humanconnectome.org on behalf of 
> Kristian Loewe" <hcp-users-boun...@humanconnectome.org on behalf of 
> k...@kristianloewe.com> wrote:
> 
> Hi Joo-won and Keith,
> 
> I don't think that the table has been moved. Is there any information
> somewhere in the dicom header to double-check this?
> 
> I am using the coeff_AS82.grad file for the Prisma data (the second
> command). The first command was what I used for the Verio data. Also,
> I double-checked that I am using the uncorrected volume as input.
> 
> I am not sure if I am supposed/allowed to send screenshots of the
> actual data in the subject's native space to the list. I'm going to
> check that. Meanwhile, I asked our local MR team to acquire an
> additional data set using a phantom. The difference between the
> scanner-corrected image and the offline-corrected image is not as
> striking in this case but it's visible. Based on the phantom data, I
> am inclined to say that both corrections work reasonably well, even
> though they are not exactly the same. I also tried the
> offline-correction on some phantom EPI data and it seems to work well
> as it (together with EPI distortion correction) restores the original
> shape of the phantom pretty nicely.
> 
> The differences between the correction variants applied to the
> subject's data are actually rather small inside the brain but become
> larger towards the neck, which is to be expected as the distance to
> the magnetic isocenter becomes greater in that direction.
> Nevertheless, I orginally thought that the differences between
> scanner- and offline-corrected images would be smaller than that.
> 
> Find attached some plots of the T1 phantom data:
> 
> T1_ND*.png     - uncorrected images
> T1*.png        - scanner-corrected images
> T1_ND_gdc*.png - offline-corrected images
> 
> Cheers,
> 
> Kristian
> 
> 
> PS:
> I am sending this email for the second time (apparently the attachment
> was too large). I am not sure if the first email was successfully
> cancelled. I apologize if you are receiving this twice now.
> 
> 
> Quoting "Kim, Joo-won" <joo-won....@mssm.edu>:
> 
>> Hi Kristian,
>>
>> Have you moved table? If you moved the table, you should manually
>> subtract it from qform, sform, and/or affine matrix in the nifty
>> header.
>>
>> Best,
>> Joo-won
>>
>> ---
>> Joo-won Kim, Ph.D.
>> Postdoctoral Fellow
>> Translational and Molecular Imaging Institute
>> Icahn School of Medicine at Mount Sinai
>>
>>
>> From: <hcp-users-boun...@humanconnectome.org> on behalf of Keith
>> Jamison <kjami...@umn.edu>
>> Date: Monday, April 9, 2018 at 10:36 AM
>> To: Kristian Loewe <k...@kristianloewe.com>
>> Cc: HCP Users <hcp-users@humanconnectome.org>
>> Subject: Re: [HCP-Users] gradient nonlinearity correction question
>>
>> First make sure you're using the right coefficient file, copied
>> directly from the scanner.  The Prisma should have a file called
>> coeff_AS82.grad, so the one you used in your *second* command above
>> should be correct.
>> Second is to be absolutely sure your input is the uncorrected volume (*_ND).
>> If you include some matched screenshots of the uncorrected,
>> offline-corrected, and scanner-corrected volumes, we can maybe help
>> evaluate the difference.
>>
>>
>> On Mon, Apr 9, 2018 at 4:09 AM, Kristian Loewe
>> <k...@kristianloewe.com<mailto:k...@kristianloewe.com>> wrote:
>> Thanks Keith,
>>
>> Cropping is turned off by default in the version of dcm2niix that
>> I'm using but I re-ran the conversion with "-x n" anyway. I also
>> used fslreorient2std as per your suggestion. Unfortunately, the
>> result is still the same. Do you have any other ideas?
>>
>>
>> Cheers,
>>
>> Kristian
>>
>>
>> Quoting Keith Jamison <kjami...@umn.edu<mailto:kjami...@umn.edu>>:
>> Some problems can arrise if the NIFTI files are unexpectedly manipulated
>> prior gradient_unwarp. Two things to check:
>>
>> 1. dcm2nii and dcm2niix has options to perform additional processing like
>> reorienting or cropping, some of which may be enabled by default. Make sure
>> those are all DISABLED. (for dcm2niix add "-x n" and for dcm2nii you can
>> add "-x N -r N"
>> 2. We also usually use "fslreorient2std <origT1> <origT1>_new and then
>> gradient_unwarp.py<https://urldefense.proofpoint.com/v2/url?u=http-3A__gradient-5Funwarp.py&d=DwQFaQ&c=shNJtf5dKgNcPZ6Yh64b-A&r=C4genPYC6QtMDghAR1Km4p6emgS7QcLRMzo8A8hTJKk&m=ZMuNtM9D5WoxjxPsNEf3nsA4vd9aenKnJbd7pJY5V6o&s=0fRXneyYj_8irqp1xYKJzBXtTZP9nixP-6_oGvClUEE&e=>
>>  on
>> <origT1>_new
>>
>> -Keith
>>
>>
>> On Fri, Apr 6, 2018 at 12:05 PM, Kristian Loewe
>> <k...@kristianloewe.com<mailto:k...@kristianloewe.com>>
>> wrote:
>> Hi,
>>
>> I would like to use gradunwarp for offline gradient nonlinearity
>> correction of some data acquired on our local Siemens scanners. I used
>> dcm2niix to convert the dicom data to nifti format. After applying
>> gradunwarp to a T1 image in nifti format (the one that originally has
>> the _ND suffix), I proceeded to compare the result with the
>> Siemens-corrected T1 image. I expected that they would look very
>> similar but in fact they look quite different. I am wondering if this
>> is to be expected to some degree because of differences in the
>> correction algorithms or what else might be the reason for this. Could
>> it be the case, for example, that the wrong center is being used for
>> some reason?
>>
>> I have tried this for a T1 image acquired on a Verio and another one
>> from a Prisma using
>>
>>
>> gradient_unwarp.py<https://urldefense.proofpoint.com/v2/url?u=http-3A__gradient-5Funwarp.py&d=DwQFaQ&c=shNJtf5dKgNcPZ6Yh64b-A&r=C4genPYC6QtMDghAR1Km4p6emgS7QcLRMzo8A8hTJKk&m=ZMuNtM9D5WoxjxPsNEf3nsA4vd9aenKnJbd7pJY5V6o&s=0fRXneyYj_8irqp1xYKJzBXtTZP9nixP-6_oGvClUEE&e=>
>>  T1.nii.gz T1_gdc.nii.gz siemens -g
>> coeff_AS097.grad
>> -n
>>
>> and
>>
>>
>> gradient_unwarp.py<https://urldefense.proofpoint.com/v2/url?u=http-3A__gradient-5Funwarp.py&d=DwQFaQ&c=shNJtf5dKgNcPZ6Yh64b-A&r=C4genPYC6QtMDghAR1Km4p6emgS7QcLRMzo8A8hTJKk&m=ZMuNtM9D5WoxjxPsNEf3nsA4vd9aenKnJbd7pJY5V6o&s=0fRXneyYj_8irqp1xYKJzBXtTZP9nixP-6_oGvClUEE&e=>
>>  T1.nii.gz T1_gdc.nii.gz siemens -g coeff_AS82.grad
>> -n
>>
>> respectively.
>>
>> I would really appreciate any help or advice you can provide.
>>
>> Cheers,
>>
>> Kristian
>>
>>
>> Quoting Keith Jamison <kjami...@umn.edu<mailto:kjami...@umn.edu>>:
>>
>>> FYI, when available, you can enable it on the scanner in the
>>> "Resolution->Filter" tab with the "Distortion Correction" checkbox.  It's
>>> often used for structural scans like MPRAGE, where you will see two DICOM
>>> folders in the output: <scanname> and <scanname>_ND.  ND means "No
>>> Distortion [Correction]".. .A very confusing choice of acronym.  You can
>>> then compare the online corrected (not _ND) and offline using gradunwarp.
>>>
>>> -Keith
>>>
>>>
>>> On Wed, Oct 19, 2016 at 4:44 PM, Glasser, Matthew
>>> <glass...@wustl.edu<mailto:glass...@wustl.edu>>
>>> wrote:
>>>
>>>> Some do for some sequences, but because it is not uniformly applied and
>>>> because they are likely not to use optimal interpolation algorithms, we
>>>> prefer to do offline correction.
>>>>
>>>> Peace,
>>>>
>>>> Matt.
>>>>
>>>> From:
>>>> <hcp-users-boun...@humanconnectome.org<mailto:hcp-users-boun...@humanconnectome.org>>
>>>>  on behalf of
>>>> Antonin
>> Skoch <
>>>> a...@ikem.cz<mailto:a...@ikem.cz>>
>>>> Date: Wednesday, October 19, 2016 at 4:27 PM
>>>> To:
>>>> "hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>"
>>>> <hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>>
>>>> Subject: [HCP-Users] gradient nonlinearity correction question
>>>>
>>>> Dear experts,
>>>>
>>>> during the set-up of gradunwarp scripts, it came to my mind, why scanner
>>>> vendors standardly do not perform gradient nonlinearity correction
>> directly
>>>> on the scanner as part of on-line image reconstruction system (i.e. ICE
>> in
>>>> Siemens)?
>>>>
>>>> Regards,
>>>>
>>>> Antonin Skoch
>>>>
>>>>
>>>> _______________________________________________
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>>>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users<https://urldefense.proofpoint.com/v2/url?u=http-3A__lists.humanconnectome.org_mailman_listinfo_hcp-2Dusers&d=DwMFaQ&c=shNJtf5dKgNcPZ6Yh64b-A&r=C4genPYC6QtMDghAR1Km4p6emgS7QcLRMzo8A8hTJKk&m=ZMuNtM9D5WoxjxPsNEf3nsA4vd9aenKnJbd7pJY5V6o&s=VlS5YxgBaQ-pKX4I4w1y6G0q0a0dP60J_gDUReDB9sE&e=>
>>>>
>>>>
>>>> ------------------------------
>>>>
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> 
> 
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