Dear experts.
In the previous technical papers of Freesurfer, the the method of automated parcellation was described,
"This procedure automatically assigns a neuroanatomical label to each voxel in an MRI volume based on probabilistic information automatically estimated from manually labeled training set."
I'd like to know more detail, how many training set was used in Freesurfer, and is it possible to define the study specific training set for automated parcellation using Freesurfer?
Sincerely
Woo Suk, Tae Seoul, Korea
there are two training sets we use for the two difference parcellation schemes. Once consists of about 40 subjects distributed into 4 groups (young, middle aged, elderly and Alzheimer's for the Desikan-Killiany atlas). The other is 14 young and middle aged subjects in the Destrieux atlas. Defining a new training set is extremely labor intensive, but we distrubute tools for you to do so if you decide to.
cheers, Bruce
On Mon, 1 Oct 2007, Woo Suk, Tae wrote:
Dear experts.
In the previous technical papers of Freesurfer, the the method of automated parcellation was described,
"This procedure automatically assigns a neuroanatomical label to each voxel in an MRI volume based on probabilistic information automatically estimated from manually labeled training set."
I'd like to know more detail, how many training set was used in Freesurfer, and is it possible to define the study specific training set for automated parcellation using Freesurfer?
Sincerely
Woo Suk, Tae Seoul, Korea
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freesurfer@nmr.mgh.harvard.edu