andreashorn
commented
7 years ago Hi Chris,
the images are being generated on the first run (just choose a folder with an anat_t1.nii file inside, click normalize, choose Dartel or shoot as method and press run). Takes a while to generate them on first run. Currently evaluating the methods for subcortical normalization/segmentation.
Best, Andy
Am 25.10.2017 um 18:56 schrieb Chris Rorden notifications@github.com:
I have downloaded the full distribution of Lead-DBS from the website (www.lead-dbs.org) as well as from the 'necessary datafiles' link from the project front page. Both are missing the image dartelmni_1.nii..dartelmni_6.nii - these are used by the scripts (e.g. ea_normalize_spmdartel) to compute pairwise co-registration. This is described in the documents https://leaddbs.gitbooks.io/leaddbs-manual/content/Normalization%20of%20Images.html and seems to provide a way for DARTEL without creating a local template. Are these images available, or has this method been abandoned (in which case the scripts and documentation should be updated). It seems like a nice approach for centers that do not have a large population of T1 scans from healthy adults required to generate an in-house template, so I would be sad to see this dropped.
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I have downloaded the full distribution of Lead-DBS from the website (www.lead-dbs.org) as well as from the 'necessary datafiles' link from the project front page. Both are missing the image dartelmni_1.nii..dartelmni_6.nii - these are used by the scripts (e.g. ea_normalize_spmdartel) to compute pairwise co-registration. This is described in the documents https://leaddbs.gitbooks.io/leaddbs-manual/content/Normalization%20of%20Images.html and seems to provide a way for DARTEL without creating a local template. Are these images available, or has this method been abandoned (in which case the scripts and documentation should be updated). It seems like a nice approach for centers that do not have a large population of T1 scans from healthy adults required to generate an in-house template, so I would be sad to see this dropped.