Hi,
The recon-all based striatal parcellations are based on the anatomy of each particular subject, guided by a probabilistic atlas.  That is inherently likely to be more accurate that just taking a set of ROIs/parcellations defined in some (non-probabilistic) atlas and warping them to each subject via an affine transformation, which is what it sounds like you are doing with the "Choi ROIs".

cheers,
-MH

-- 
Michael Harms, Ph.D.
-----------------------------------------------------------
Conte Center for the Neuroscience of Mental Disorders
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

From: Paul Beach <pabea...@gmail.com>
Reply-To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu>
Date: Wednesday, June 18, 2014 8:52 AM
To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu>
Cc: Thomas Yeo <thomas....@nus.edu.sg>, "Yeo, Boon Thye Thomas -- Boon Thye Thomas Yeo" <ytho...@csail.mit.edu>
Subject: Re: [Freesurfer] Fwd: Improving translation of Choi striatal ROIs to original domain

Hi Bruce,

Thanks for the response. 

I actually got this pipeline partly from Thomas a few months back. However, I wasn't sure if anyone had suggestions perhaps for a recon-all based command for going from the MNI152 1mm template-based fit to individual subjects. The recon-all/Freesurfer inherent striatal parcellations are so well fitted to even my severe AD patients, so I was hoping I could somehow adapt this to the Choi ROIs.


On Wed, Jun 18, 2014 at 8:45 AM, Bruce Fischl <fis...@nmr.mgh.harvard.edu> wrote:
Hi Paul

Thomas Yeo (ccd) would be the best person to help you, but he may not be reading email for a while....

cheers
Bruce



On Wed, 18 Jun 2014, Paul Beach wrote:

Hi Freesurfers,
My processing stream involves moving the parcellated functional networks of
Yeo and Choi to original subject domain to do connectivity analyses. While
my process works very well for the Yeo networks I'm rather unsatisfied by
the results of the Choi translations.

I'm hoping someone has some suggestions for improving things so that the
Choi ROIs map onto individual subjects nearly as well as the general
Freesurfer striatal segmentations.

NB - I work with AD patients, so I'm sure part of the problem is
atrophy-based. However, I'm sure there are ways to improve things...

My current pipeline involves two steps:
mri_vol2vol \
--mov Choi2012_17Networks_MNI152_FreeSurferConformed1mm_TightMask.nii.gz \
--targ $FSLDIR/data/standard/MNI152_T1_2mm_brain.nii.gz --regheader \
--o FSL_choi_17Net_MNI152_tight_parcellation.nii.gz --no-save-reg --interp
nearest

mri_label2vol \
--seg FSL_choi_17Net_MNI152_tight_parcellation.nii.gz \
--reg $SUBJECTS_DIR/{$subj}/mri/transforms/reg.mni152.2mm.dat \
--invertmtx \
--o Choi_17Network_tight_striatum_orig.nii.gz \
--temp $SUBJECTS_DIR/{$subj}/mri/orig.mgz

I suspect one way to improve things would be to do a recon-all based
procedure, but I have no clue what commands within the recon-all domain that
would involve.


Thanks for your suggestions.
-- 
Paul Beach
DO/PhD candidate - Year VI
Michigan State University
- College of Osteopathic Medicine
- Neuroscience Program - MSU Cognitive and Geriatric Neurology Team (CoGeNT)


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--
Paul Beach
DO/PhD candidate - Year VI
Michigan State University
- College of Osteopathic Medicine
- Neuroscience Program
 - MSU Cognitive and Geriatric Neurology Team (CoGeNT)

 


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