Dear Bruce,

I did run it again with option (-dist 0.25); however the result did not change much (See the attachment). These results do not seem right to me and I think I’m running the command correctly (see the first email). However, I’m not sure I’m visualizing the curvature maps correctly. I assume the lh.sphere.reg has the same vertices and facets as lh.sphere but slightly displaced in space to match the curvature and sulci map of the source surface to target surface. Therefore, I visualize the lh.sphere.reg by pulling the same lh.curv file from the source image. If this is wrong, please let me know how can I correctly visualize the lh.sphere.reg, otherwise I have no idea why this surface based registration produce such inaccurate results. Any comments or suggestion is greatly appreciated.

Best
-- 
Ray Razlighi, Ph.D.
Assistant Professor
Quantitative Neuroimaging Laboratory
Division of Cognitive Neuroscience
Department of Neurology
Columbia University

Alt: razlighi@gmail.com
Office Phone: 212-342-1352
Office Fax: 212-342-1838
Website: http://www.columbia.edu/cu/qnl/

On Nov 3, 2015, at 3:47 PM, Bruce Fischl <fischl@nmr.mgh.harvard.edu> wrote:

Hi Ray

the -1 means that the target is a single surface and not an atlas, but the registration is still nonlinear. The variances will all be 1 so you may have to play with the weights in the energy functional. We don't do this very much and it probably defaults to quite rigid. Try reducing the weight on the metric preservation term (e.g. -dist .25) if you want it to be more nonlinear

cheers
Bruce

On Tue, 3 Nov 2015, Razlighi, Qolamreza R. wrote:

Hi Guys,
I read in the sidenote here
(https://surfer.nmr.mgh.harvard.edu/fswiki/SurfaceRegAndTemplates) that
inter-subject surface base registration using mris_register and -1 flag
performs a sort of rigid registration. So I tried it between two of my
subjects with the command below
mris_register -1 -curv P00001639/FreeSurferClean/surf/lh.sphere
P00001639/FreeSurferClean/surf/lh.sphere lh.sphere3.reg 
and got the results (see the attachment). It is clear that the registration
output is just a shifted version of the source. Having this confirmed I want
to know if there is any way to force the mris_register to perform a complete
non-linear surface based registration for inter-subjects registration the
same way it does for template.
I have to mention that I visualize the lh.sphere3.reg using freeview and
loaded the sane lh.curv on that surface. I hope I’m not doing anything
stupid.
  
[IMAGE]
Best
-- 
Ray Razlighi, Ph.D.
Assistant Professor
Quantitative Neuroimaging Laboratory
Division of Cognitive Neuroscience
Department of Neurology
Columbia University
Alt: razlighi@gmail.com
Office Phone: 212-342-1352
Office Fax: 212-342-1838
Website: http://www.columbia.edu/cu/qnl/
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