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We are attempting to analyze archival MRI data obtained during routine clinical care. Unfortunately, the standard clinical MR sequences do not include 3D volumes. Will the freesurfer algorithm work on slice data so that each slice could be marked with the pial and white matter boundaries? Then, the next question is how to apply seg and parc templates to analyze correctly defined subcortical structures, and cortical regions? Has anyone tried to do this type of archival data analysis? Unfortunately, our standard sequences do not include 3D volumes, so to do the retrospective work we'll need a workaround.
Thank you.
John R. Absher, MD, FAAN GHS Neurosciences jabsher@ghs.orgmailto:jabsher@ghs.org 864-350-6655 (mobile)
Hi John
it's not really a question of slice vs volume as much as it is of resolution. You can certainly try it, but usually around 2 or 2.5mm you can no longer resolve too many cortical folds an things start failign.
cheers Bruce
On Mon, 11 Jun 2018, John Absher wrote:
External Email - Use Caution
We are attempting to analyze archival MRI data obtained during routine clinical care. Unfortunately, the standard clinical MR sequences do not include 3D volumes. Will the freesurfer algorithm work on slice data so that each slice could be marked with the pial and white matter boundaries? Then, the next question is how to apply seg and parc templates to analyze correctly defined subcortical structures, and cortical regions? Has anyone tried to do this type of archival data analysis? Unfortunately, our standard sequences do not include 3D volumes, so to do the retrospective work we’ll need a workaround.
Thank you.
John R. Absher, MD, FAAN
GHS Neurosciences
jabsher@ghs.org
864-350-6655 (mobile)
freesurfer@nmr.mgh.harvard.edu
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Bruce Fischl -
John Absher