Dear FreeSurfer experts
I have one question regarding the labeling of cortical structures using the Desikan-Killiany atlas and couldn't find any information in the archives. As far as I read, this atlas has been composed by including 40 subjects of broad age ranges (19-86 years of age), with 10 of them suffering from Alzheimer's disease. Since I am mainly working with data sets of much younger non-demented subjects (early twenties), I was wondering if it was more accurate to make use of a young subset of the Desikan-Killiany atlas to optimize the labeling of cortical parcellations and if that was possible at all?
Thank you very much for your help!
All best wishes Martina
Hi Martina
no, probably not. We use the geometry of the gray/white boundary to drive the registration and segmentation, and it is completely invariant to gray matter atrophy and it would take huge amounts of white matter atrophy to cahnge it enough to mess things up.
cheers Bruce On Tue, 11 Nov 2014, Martina Papmeyer wrote:
Dear FreeSurfer experts
I have one question regarding the labeling of cortical structures using the Desikan-Killiany atlas and couldn't find any information in the archives. As far as I read, this atlas has been composed by including 40 subjects of broad age ranges (19-86 years of age), with 10 of them suffering from Alzheimer's disease. Since I am mainly working with data sets of much younger non-demented subjects (early twenties), I was wondering if it was more accurate to make use of a young subset of the Desikan-Killiany atlas to optimize the labeling of cortical parcellations and if that was possible at all?
Thank you very much for your help!
All best wishes Martina
Hi Bruce
Thank you very much for this helpful and quick information! My parcellations indeed look very good but I started wondering about the DK atlas.
Best wishes Martina
Quoting Bruce Fischl fischl@nmr.mgh.harvard.edu on Tue, 11 Nov 2014 13:58:34 -0500 (EST):
Hi Martina
no, probably not. We use the geometry of the gray/white boundary to drive the registration and segmentation, and it is completely invariant to gray matter atrophy and it would take huge amounts of white matter atrophy to cahnge it enough to mess things up.
cheers Bruce On Tue, 11 Nov 2014, Martina Papmeyer wrote:
Dear FreeSurfer experts
I have one question regarding the labeling of cortical structures using the Desikan-Killiany atlas and couldn't find any information in the archives. As far as I read, this atlas has been composed by including 40 subjects of broad age ranges (19-86 years of age), with 10 of them suffering from Alzheimer's disease. Since I am mainly working with data sets of much younger non-demented subjects (early twenties), I was wondering if it was more accurate to make use of a young subset of the Desikan-Killiany atlas to optimize the labeling of cortical parcellations and if that was possible at all?
Thank you very much for your help!
All best wishes Martina
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To add to this thread, you could also use the parcellations from the DKT atlas that we provide, produced by the -cortparc3 flag of recon-all (which is run by default), which is based on 40 healthy subjects from the Mindboggle-101 project, described here:
http://mindboggle.info/data.html
N.
On Tue, 2014-11-11 at 19:08 +0000, Martina Papmeyer wrote:
Hi Bruce
Thank you very much for this helpful and quick information! My parcellations indeed look very good but I started wondering about the DK atlas.
Best wishes Martina
Quoting Bruce Fischl fischl@nmr.mgh.harvard.edu on Tue, 11 Nov 2014 13:58:34 -0500 (EST):
Hi Martina
no, probably not. We use the geometry of the gray/white boundary to drive the registration and segmentation, and it is completely invariant to gray matter atrophy and it would take huge amounts of white matter atrophy to cahnge it enough to mess things up.
cheers Bruce On Tue, 11 Nov 2014, Martina Papmeyer wrote:
Dear FreeSurfer experts
I have one question regarding the labeling of cortical structures using the Desikan-Killiany atlas and couldn't find any information in the archives. As far as I read, this atlas has been composed by including 40 subjects of broad age ranges (19-86 years of age), with 10 of them suffering from Alzheimer's disease. Since I am mainly working with data sets of much younger non-demented subjects (early twenties), I was wondering if it was more accurate to make use of a young subset of the Desikan-Killiany atlas to optimize the labeling of cortical parcellations and if that was possible at all?
Thank you very much for your help!
All best wishes Martina
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.
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