Have you checked the original aseg paper? If not, then it will be in Rahul's cortical parcellation one as it is the same data
cheers Bruce
On Thu, 26 Mar 2020, javier quilis wrote:
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Hi Bruce,
thanks for the answer. Is there any paper where this is explained? I want to detail this in my paper and I would like to refer to the source.
Thanks again, Javier
De: freesurfer-bounces@nmr.mgh.harvard.edu freesurfer-bounces@nmr.mgh.harvard.edu en nombre de Bruce Fischl fischl@nmr.mgh.harvard.edu Enviado: miércoles, 25 de marzo de 2020 14:40 Para: Freesurfer support list freesurfer@nmr.mgh.harvard.edu Asunto: Re: [Freesurfer] training set Hi Javier
no, that's not correct, depending on which training set you mean. For the Bayesian segmentation (aseg) we used 40 datasets distributed in age and pathology (10 each for young, middle age, elderly and AD).
cheers Bruce On Wed, 25 Mar 2020, javier quilis wrote:
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Thanks for the answer.
I can not open the power point for some reason. Is there any paper where I can check this? I think the dataset used by freesurfer is in the MNI
Average
Brain (305 MRI) Stereotaxic Model and this dataset only use MRIs from
young
people, is this correct?
Thanks again. Bests, Javier
_
De: freesurfer-bounces@nmr.mgh.harvard.edu freesurfer-bounces@nmr.mgh.harvard.edu en nombre de Douglas N. Greve dgreve@mgh.harvard.edu Enviado: viernes, 20 de marzo de 2020 15:39 Para: freesurfer@nmr.mgh.harvard.edu freesurfer@nmr.mgh.harvard.edu Asunto: Re: [Freesurfer] training set Try the tutorial slides https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/AnatomicalROI It does not go into a lot of detail, but it will give you the relevant lectures
On 3/17/2020 8:54 AM, javier quilis wrote:
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Hello everyone,
I'm trying to do a study of a comparison between the automated methods to analyze structural MRI from FSL and Freesurfer. I am interested in the training set used by Freesurfer to do the brain segmentation and I can not find a detailed description of it. Is there any source where this set is described?
Thanks in advance. Bests, Javier Quilis
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