Dear Lilla,
i'm currently applying mri_cvs_register and I'm very happy with the nice results. Congratulation for this very clever approach. However, some data sets which I work on have still aseg.mgz which are not segmented appropriately. As far as I understand aseg.mgz is not redefined after e.g. pial-edits or added control points. Thus, I think it might be better to use aparc+aseg or wmparc instead of aseg within mri_cvs_register. Taking this into account I have the following questions:
1. Do you have experience with mri_cvs_register and --asegfname Option different from aseg? Does it impact the processing time? Are there options, which have to be adopted?
2. Since I think it is better to use aseg instead of wmparc, since it contains fewer IDs and registration will not be overfitted, is there a convenient way to generate a new aseg.mgz, which includes manual corrections like pial edits?
3. The last question regards the norm.mgz ... since it also often contains to much (outer brain) volume .. would it be better to mask norm.mgz with (e.g.) wmparc or a dilated version of wmparc before using it with mri_cvs_register ?
Thanks you, Daniel
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