Thanks Bruce,

It worked, now I have my .gca atlas.
but got 3 questions;

1)in a step above of mri_ca_train I did use mri_ca_normalize to normalize the subject to the JHU.ICBMtracts.1mm.mgz but this create an empty norm.mgz, is this normal?
whean I saw it was empty I decide to create all the file by:
recon-all -s My_MNI152_avg -autorecon1 -autorecon2-inflate1, that create all files as normally does with my every other subjects;


2) Is there any way to check at the gca file created no make myself sure that everything is placed in the right way?

3) A silly one, Which is the next step to parcellate the WM of all my subjects as the new atlas? Can I use this gca file with mris_ca_label?


Best Regards,
Gabriel.




El 21/12/12, Bruce Fischl <fischl@nmr.mgh.harvard.edu> escribió:
Hi Gabriel

remove the -check from your command line

cheers
Bruce
On Fri, 21 Dec 2012, Gabriel Gonzalez Escamilla wrote:

>
>Thanks for your reply Anastasia,
>
>You totally got it, I must say that actually have the Mori tract atlas, in
>nii format. But the thing I'm looking for, is to use this WM parcellation to
>parcellate WM of my subjects in FS.
>
>I have tried to use recon-all tools for successfully reconstruct the
>MNI152_1mm subject supplied by FSL (as is the same used in the Mori atlas),
>I have transformed my mori_labels_atlas into mgz and change to the subject
>space by a resampling and adding the talairach.xfm to the header of the
>seg_atlas.mgz. This method sets everything onto the FS_MNI_305 space. All
>these steps worked as you can see in the attached image.
>
>Then, I have tried to use mri_ca train to get the gca file as:
>mri_ca train -prior_spacing2 -node_spacing 8 -mask
>$FSreconned_MNI152/brain.mgz -parc_dir JHU.ICBMtracts.1mm.mgz -zform
>talairach.xfm -T1 norm.mgz -check FSreconned_MNI152
>JHU.ICBMtracts.1mm.2012-12-20.gca
>
>It always try to check the left_pallidum label and right_putamen and fails
>in many coordenates and outputs.
>
>ERROR: mri_ca_tain check found 1 subjects with bad labels!
>
>I checked and all the mgz files are in uchar format, I don't know if the
>problem is that I already have all labels into a single mgz file, In that
>case, how can I compute the gca file?
>
>Do you have any advice for me?
>
>Bests,
>Gabriel.
>
>PD. If you are agree I will repost this to the FS-list, beacuse may be
>helpuful for someone else. And may be get some more tips from the others.
>
>
>
>
>El 20/12/12, Anastasia Yendiki <ayendiki@nmr.mgh.harvard.edu> escribió:
>
>      Hi Gabriel - If you just need volumetric labels of the Mori
>      tracts, you can get that directly by downloading their atlas.
>      The tracula atlas doesn't have an average volume (it doesn't
>      represent the tracts as volumes at all) and in any case you'd
>      still have the problem of registering your individuals to a
>      common space (it sounds like you want to use fsaverage as your
>      common space, which tracula is independent of). Am I
>      misunderstanding what you're asking?
>
>      a.y
>
>      On Wed, 19 Dec 2012, Gabriel Gonzalez Escamilla wrote:
>
>      >Dear Anastasia Yendiki,
>      >
>      >
>      >My name is Gabriel, I'm a student on a Spanish university,
>      working with MRI and FS, I?m
>      >looking for a new way to parcellate the WM on a group of
>      subjects (without DTI data)
>      >processed with FS v5.1. I know there exist some WM fiber atlas,
>      but I saw that you have
>      >develop something that could match more precisely the FS space
>      on my subjects, and as you
>      >have as background the Mori atlas, that to my knowledge, is the
>      most complete WM atlas (Mori
>      >et al., 1999; Wakana et al., 2007).
>      >
>      >I have found in your 2011 tracula paper, the next phrase:
>      >
>      >?We have developed TRACULA (TRActs Constrained by UnderLying
>      Anatomy), a method for automated
>      >reconstruction of major white-matter pathways that is based on
>      the global probabilistic
>      >approach of Jbabdi et al. (2007) and utilizes prior information
>      on the anatomy of the
>      >pathways from a set of training subjects. Once the pathways
>      have been labeled manually in the
>      >training set, their trajectories are combined with an automatic
>      anatomical segmentation of
>      >the same subject (Dale et al., 1999; Fischl et al., 1999a,b,
>      2002, 2004a,b; Fischl and Dale,
>      >2000) to derive a description of the pathways in terms of the
>      structures that they intersect
>      >and neighbour. The knowledge on path anatomy that is extracted
>      from the training set is then
>      >used to initialize a global probabilistic tractography
>      algorithm and also to constrain its
>      >search space by penalizing connections that do not match our
>      prior anatomical knowledge. This
>      >allows the algorithm to reconstruct the pathways reliably in a
>      novel subject with no manual
>      >intervention, facilitating the analysis of large data sets.?
>      >
>      >I?m wondering if the manually labeled pathways (trajectories)
>      combined in an anatomical
>      >segmentation of the same subject are available? or if this
>      subject is distributed somehow
>      >with FS v5.1?
>      >
>      >Or if can you give me an advice of how to proceed to make my
>      own from a stardard atlas (i.e.
>      >JHU_atlas in MNI space).
>      >
>      >
>      >Many thanks in advanced,
>      >
>      >Gabriel.
>      >
>      >
>      >
>      >
>
>
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--
--------------------------
PhD. student Gabriel González-Escamilla
Laboratory of Functional Neuroscience
Department of Physiology, Anatomy, and Cell Biology
University Pablo de Olavide
Ctra. de Utrera, Km.1
41013 - Seville
- Spain -

Email: ggonesc@upo.es
http://www.upo.es/neuroaging/es/