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:
External Email - Use Caution
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.
<dgr...@mgh.harvard.edu <mailto:dgr...@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
command
> to concat cortical volume files from all subjects, then how can
I use
> this command for "folding index" output file?
>
> Any help will be really appreciated.
>
>
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