Greetings, I am working with pediatric data and have some early evidence that running recon-all with the flag -norm2-b 20 -norm2-n 5 improves the anterior temporal lobe segmention as suggested in the v5.2 release notes (I am running this with v5.3). I'd like to experiment more with this parameters to see if I can further improve the segmentation but have been unable to find a a description of how these parameters influence the 2nd norm. Can someone point me to such a description?
Thanks, Jason
Jason A. Tourville, Ph.D. Research Assistant Professor Department of Speech, Language, and Hearing Sciences Boston University 677 Beacon St. Boston, MA 02215 Phone: (617)353-9484 Fax: (617)353-7755
Hi Jason
the only documentation is in mri_normalize --help (and the code). Try running it directly on your data (you can get the command line syntax from the recon-all.log). It only take a couple of min/call so you should be able to try a bunch of the options pretty quickly, then set them for recon-all using expert options
cheers Bruce
On Wed, 26 Mar 2014, Jason Tourville wrote:
Greetings, I am working with pediatric data and have some early evidence that running recon-all with the flag -norm2-b 20 -norm2-n 5 improves the anterior temporal lobe segmention as suggested in the v5.2 release notes (I am running this with v5.3). I'd like to experiment more with this parameters to see if I can further improve the segmentation but have been unable to find a a description of how these parameters influence the 2nd norm. Can someone point me to such a description?
Thanks, Jason
Jason A. Tourville, Ph.D. Research Assistant Professor Department of Speech, Language, and Hearing Sciences Boston University 677 Beacon St. Boston, MA 02215 Phone: (617)353-9484 Fax: (617)353-7755
freesurfer@nmr.mgh.harvard.edu