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<div>Hi Berdakh,</div>
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What do you mean with ‘import anatomy folder’? Please check out the links below in order to formulate your question more constructively.
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<div><a href="http://fieldtrip.fcdonders.nl/faq/how_to_ask_good_questions_to_the_community">http://fieldtrip.fcdonders.nl/faq/how_to_ask_good_questions_to_the_community</a></div>
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<div><a href="http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002202">http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002202</a></div>
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<div>Note that FieldTrip’s low-level fileio functions know how to deal with compressed nifti files, so if your question means ‘can I use FieldTrip to load in images that have been constructed with FSL’, the answer would be yes.</div>
<div>For information about supported dataformats, see: <a href="http://fieldtrip.fcdonders.nl/dataformat">http://fieldtrip.fcdonders.nl/dataformat</a></div>
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<div>Best wishes,</div>
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<div>Jan-Mathijs</div>
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<div>On Feb 7, 2015, at 7:32 PM, Berdakh Abibullaev <<a href="mailto:berdakho@gmail.com">berdakho@gmail.com</a>> wrote:</div>
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<div class="gmail_default" style="font-family: 'trebuchet ms', sans-serif;">Hi there,</div>
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Is there any way to "Import anatomy folder" generated by FSL into the
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We are trying to work with infant MRI data pre-processed by FSL for infant EEG source estimation.
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The data description is available here:
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<font face="trebuchet ms, sans-serif"><a href="http://jerlab.psych.sc.edu/NeurodevelopmentalMRIDatabase/description.html">http://jerlab.psych.sc.edu/NeurodevelopmentalMRIDatabase/description.html</a></font><br>
And, I am copying it below:<br>
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Description.<br>
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The database consists of MRI average templates for a number of ages; in 1-3 month increments through 18 months; then half-year increments through 19-5 years; then 5 year increments through 89 years. The templates were done separately for brain and head. Also
included are segmentation PVE volumes for gm/wm/csf; T2W-derived CSF; and non-myelinated axons (NMA) for infants. Access to the dataset is separated by ages (infants; 0-12 mo; preschool, 15 mo through 4-0 years; children 4-5 through 10-5 yrs; adolescents 11-0
through 17-5 yrs; adults 20-89 years).<br>
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The segment data for ages 15-months and older consists of GM, WM, CSF, and T2W-derived CSF. The best combination of segments would be the image_aposteriori_seg data, using GM, WM, and T2W-derived CSF for priors. For 3 through 12 months, the best combination
of segments would be the nma_seg data; using GM, WM, NMA, and T2W-derived CSF. The "CSF" PVE segments are "Other Matter" in a 3-class segmentation (GM, WM, "Other Matter") and does not reflect actual CSF. The T2W-derived CSF is identified as bright voxels
in the T2W scan and represent actual CSF in the brain or head. There is an atlas derived from FSL "Harvard-Oxford" cortical and subcortical atlas for the infants, 8 10 12 14 16 18, and 20-24 year old templates.<br>
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Overview:<br>
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ANTS....brain.nii.gz: Average MRI template derived from extracted brain<br>
ANTS....head.nii.gz: Average MRI template derived from whole head<br>
ANTS....brain-head: brain extracted from head template <br>
ANTS....T2W_brain: MRI template separate for extracted brain T2W<br>
ANTS....T2W_head: MRI template separate for whole head T2W<br>
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Segments<br>
AVG...T2W_brain...: T2W for individual participants, warped to template, averaged<br>
AVG...image_seg_...: Image-based segment averages<br>
AVG...image_aposteriori_seg_.. : Age-template priors with a posteriori FAST<br>
AVG...MNI_aposteriori_seg_...: AVG of MNI-template priors, with a posteriori FAST<br>
AVG...nma_seg_: For infants, non-myelinated axons separate from gray matter<br>
AVG....seg_csf: "Other matter" in 3-class segmentation<br>
AVG....seg_t2wcsf: T2W-derived CSF<br>
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Atlas:<br>
ANTS...brain...brainstem: The individual files have the brain areas<br>
ANTS...brain_atlas: Segmented atlas for all brain areas
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<span style="font-family:arial,sans-serif;color:rgb(34,34,34)">Please help.</span><span style="font-family:arial,sans-serif;color:rgb(34,34,34)"> </span></div>
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<div class="gmail_default" style="font-family: 'trebuchet ms', sans-serif;">Thanks,</div>
<div class="gmail_default" style="font-family: 'trebuchet ms', sans-serif;">Berdakh.
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