Thanks for your help.

- Anders

2015-02-23 23:23 GMT+01:00 Marcus, Dan <[email protected]>:

>  Actually, the files are in ConnectomeDB but not in the downloadable
> packages.  You can get to individual subject files using the XNAT REST API,
> something like this (after logging in of course):
>
>
> https://db.humanconnectome.org/data/projects/HCP_500/subjects/100307/experiments/100307_3T/resources/tfMRI_WM_RL_preproc/files/MNINonLinear/Results/tfMRI_WM_RL/tfMRI_WM_RL_SBRef.nii.gz
>
>  Replace the subject (100307), session (100307_3T), and series 
> (tfMRIWMRL_preproc) portions
> to get to other data.  A little basic scripting, and you should be able to
> pull down all of the files.
>
>  -Dan
>
>   From: <Glasser>, Matthew Glasser <[email protected]>
> Date: Thursday, February 12, 2015 7:32 PM
> To: Anders Eklund <[email protected]>
>
> Cc: "[email protected]" <[email protected]>
> Subject: Re: [HCP-Users] Preprocessing questions
>
>   We don’t distribute those images, as they are only pipeline
> intermediates.  If you download some of the raw data and run the pipelines
> yourself (https://github.com/Washington-University/Pipelines), you could
> show these two images:
>
>  
> ${StudyFolder}/${Subject}/${fMRIName}/DistortionCorrectionAndEPIToT1wReg_FLIRTBBRAndFreeSurferBBRbased/FieldMap/SBRef.nii.gz
> — Original distorted image
> ${StudyFolder}/${Subject}/${fMRIName}/DistortionCorrectionAndEPIToT1wReg_FLIRTBBRAndFreeSurferBBRbased/FieldMap/SBRef_dc.nii.gz
> — Undistorted image
>
>  Peace,
>
>  Matt.
>
>   From: Anders Eklund <[email protected]>
> Date: Thursday, February 12, 2015 at 11:57 AM
> To: Matt Glasser <[email protected]>
> Cc: "[email protected]" <[email protected]>
> Subject: Re: [HCP-Users] Preprocessing questions
>
>   I'm giving an fMRI course and would like to show the effect of
> distortion correction (b0 field).
>
> - Anders
>  Den 12 feb 2015 18:14 skrev "Glasser, Matthew" <[email protected]>:
>
>>  The code for that derivation (written by Mark Jenkinson) is posted
>> online:
>>
>>
>> https://github.com/Washington-University/Pipelines/blob/master/global/scripts/aff2rigid.py
>>
>>  Yes *_restore means the bias field has been removed.
>>
>>  Why do you want to see fMRI data with and without distortion
>> correction?  What kind of distortion are you referring to (gradient
>> distortion correction or b0 distortion correction)?
>>
>>  Peace,
>>
>>  Matt.
>>
>>   From: Anders Eklund <[email protected]>
>> Date: Thursday, February 12, 2015 at 11:08 AM
>> To: "[email protected]" <[email protected]>
>> Subject: [HCP-Users] Preprocessing questions
>>
>>   Dear HCP users/developers,
>>
>>  I was reading the NeuroImage paper "The minimal preprocessing pipelines
>> for the Human Connectome Project" and found the sentence below. Can anyone
>> explain how you went from 12 to 6 parameters? Did you for example calculate
>> the SVD of the 3 x 3 transformation matrix (excluding the translations) and
>> set the 3 singular values to 1?
>>
>> "Next, the average T1w and T2w images are aligned to the MNI
>> space template (with 0.7 mm resolution for the HCP data) using a
>> rigid 6 DOF transform, derived from a 12 DOF affine registration."
>>
>> ----
>>
>>  For the preprocessed structural data (in MNINonLinear), what is the
>> difference between T1w.nii.gz and T1w_restore.nii.gz? A bias field removal?
>>
>> ----
>>
>>  Is it possible to see the fMRI data (e.g. the resting state data) with
>> and without distortion correction, excluding all other operations?  If not,
>> can anyone provide the necessary FSL commands to achieve distortion
>> corrected fMRI data from the unprocessed data?
>>
>> ----
>>
>>  Thanks,
>>  Anders
>>
>>
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>>
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-- 
Anders Eklund, PhD

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