Hi Greg you could threshold then look at Hausdorff distance of the blobs. Or you could smooth before computing correlation as that will take spatial stuff into account.
Or if you have a patch that you want to cross-correlate against the rest of the surface you could do it on the sphere, although that's a bit of a pain since you have to take the metric tensor into account cheers Bruce On Tue, 21 Jun 2016, GREGORY R KIRK wrote: > > Hi, > > > has anyone created functionality to compare the spatial > correlation/similarity > > of two patterns in the form of cortical surface overlays. What I am looking > at is a have > > scalar at every point on the cortical surface. obviously this is just a list > of vertices with > > a scalar value associated with each. obviously I can map these both onto an > average cortical surface and then simply compute the correlation of both of > these. > > > but of course pattern similarity is an inherently spatial problem and for > cortical > > surfaces a 2 dimensional spatial correlation or other similarity metric > would be > > what you want. Here the order of vertices in a vertex list maps somewhat > like a > > string around the cortex and so the next wrap around you have vertices which > are > > adjacent on the surface but distant by the metric of vertex count. > > > is there any implementation of a similarity metric which takes this > coordinate problem into account. In my measure every vertex across both hemi > has a value and so i am not interested in something for a small localized > patch. > > > any thoughts appreciated > > > Greg > > > _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
