Hello everybody,
I ran the recon_all routine on a number of images of the ADNI database. The goal is to extract first of all the cortical thickness values. In order to compare the values in a classification process, eg. Alzheimer vs Normal I want to register all images to a template subject. Does anybody know how to achieve this?
Thanks in advance,
Matthias Schlögl
Hi Matthias
that is done as part of the recon-all process. You can do easy group analyses in qdec.
cheers Bruce
On Sun, 17 Jul 2011, matthias wrote:
Hello everybody,
I ran the recon_all routine on a number of images of the ADNI database. The goal is to extract first of all the cortical thickness values. In order to compare the values in a classification process, eg. Alzheimer vs Normal I want to register all images to a template subject. Does anybody know how to achieve this?
Thanks in advance,
Matthias Schlögl _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Hi Bruce,
thanks for your fast reply! The thing is, that I want to work with the cortical-thickness values directly in matlab, but when I use the read_curv() and read_annotation() functions I get different numbers for vertices for different subjects. The goal is to represent each subject by a feature-vector of same size, containing the cortical thickness values with the intention to use various dimensionality-reduction methods, e.g. PCA. I hope you can follow me,
cheers, Matthias
Am 7/17/2011 7:03 PM, schrieb Bruce Fischl:
Hi Matthias
that is done as part of the recon-all process. You can do easy group analyses in qdec.
cheers Bruce
On Sun, 17 Jul 2011, matthias wrote:
Hello everybody,
I ran the recon_all routine on a number of images of the ADNI database. The goal is to extract first of all the cortical thickness values. In order to compare the values in a classification process, eg. Alzheimer vs Normal I want to register all images to a template subject. Does anybody know how to achieve this?
Thanks in advance,
Matthias Schlögl _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
Hi Matthias,
the recon-all -qcache flag will map the thickness for each subject to the fsaverage icosahedral coordinate system, or you can use mri_surf2surf directly to do it (or mris_spherical_average for that matter).
cheers Bruce
On Mon, 18 Jul 2011, matthias wrote:
Hi Bruce,
thanks for your fast reply! The thing is, that I want to work with the cortical-thickness values directly in matlab, but when I use the read_curv() and read_annotation() functions I get different numbers for vertices for different subjects. The goal is to represent each subject by a feature-vector of same size, containing the cortical thickness values with the intention to use various dimensionality-reduction methods, e.g. PCA. I hope you can follow me,
cheers, Matthias
Am 7/17/2011 7:03 PM, schrieb Bruce Fischl:
Hi Matthias
that is done as part of the recon-all process. You can do easy group analyses in qdec.
cheers Bruce
On Sun, 17 Jul 2011, matthias wrote:
Hello everybody,
I ran the recon_all routine on a number of images of the ADNI database. The goal is to extract first of all the cortical thickness values. In order to compare the values in a classification process, eg. Alzheimer vs Normal I want to register all images to a template subject. Does anybody know how to achieve this?
Thanks in advance,
Matthias Schlögl _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
freesurfer@nmr.mgh.harvard.edu