a 2D manifold has two principal curvatures, usually called k1 and k2, which are the curvature in the direction of maximum curvature and minimum curvature (they are also the eigenvalues and eigenvectors of the Hessian of the surface if it is expressed as a function over the tangent bundle). The Gaussian (K) and mean (H) curvatures are then:
K = k1*k2 H = (k1+k2)/2
cheers Bruce
On Wed, 19 Dec 2018, Greve, Douglas N.,Ph.D. wrote:
I'll leave that up to Bruce and Rudolph
On 12/19/2018 05:37 PM, Martin Juneja wrote:
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Thanks Dr. Greve. That works, but both white.K and white.H are giving me very different output values.
For example, for first few subjects I get: -0.00237 -0.00450 -0.00204 0.00113 -0.00228 -0.00958 -0.00314 0.00180 -0.00452 if I use white.K -0.05809 -0.05799 -0.06457 -0.07254 -0.07208 -0.05023 -0.06044 -0.09338 -0.09178 if I use white.H
Can you please tell me the difference between white.K and white.H conceptually and mathematically?
On Wed, Dec 19, 2018 at 2:27 PM Greve, Douglas N.,Ph.D. <DGREVE@mgh.harvard.edu mailto:DGREVE@mgh.harvard.edu> wrote:
something like --meas white.K or white.H On 12/19/2018 04:23 PM, Martin Juneja wrote:External Email - Use Caution
Hi,
Just like volume, I have "Folding Index" measures saved in lh/rh.aparc.stats files for each subject.
If I am using mris_preproc *--meas volume* --out CV/lh.CV.mgh
commandto concat cortical volume files from all subjects, then how can
I usethis command for "folding index" output file?
Any help will be really appreciated.
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