The classification of WM probably takes the most. This includes a lot of things, the longest is the subcortical segmentation. See recon-all-status.log for a list of times of each operation. doug
On 06/08/2013 03:05 PM, Joshua Lee wrote:
Dear Freesurfers,
From the Wiki Freesurfer surface stream follows something like:
- Affine registration to Tal.
- Bias correction and skull stripping
- Classify WM
- Cut hemisphere planes
- Tile WM surface
- Refine WM surface following GM-WM intensity gradients
- Nudge (nudge?) WM surface to follow the GM-CSF gradient to generate pial surface
- Labeling Data Set
- Stats
May I ask which couple of these steps tend to be the most computationally taxing/longest to complete?
Also, I'm not sure I understand #7. Is the WM surface scaled in some sense to approximate the GM-CSF boundary, or is this just a refinement step like #6 of a surface that already approximates the GM-CSF boundary?
Thanks, I've spent most of my time working with the sub-cortical stream.
Joshua
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