[Insight-users] Deformable registration for large volumes

[somi]

Hi Kishore,
My images have resolution of 2 microns isotropic voxel size (typically brain
MR images have resolution of 1 to 2 mm I suppose).....to load them into
memory I would have to sub-sample them substantially, unfortunately there
are some structures which are visible only at the highest resolution...I
plan to deformably register
all the images to an atlas.

I vaguely remember reading somewhere that ITK was designed to process
volumes even when it was not possible to load the volume into
memory...though I am not sure...

In case it is not possible what is the best approach (other than
subsampling), for example would any of the following work :

a) Do overlapping block wise deformable registration and then apply some
smoothing/regularization to the deformation field


b) In BSpline deformable registration for example, precompute the similarity
measures in some neighborhood around gridpoints

or any other approach


Regards,
Somi
On Thu, Nov 19, 2009 at 12:00 PM, Kishore Mosaliganti <kishoreraom at gmail.com
> wrote:

> Hi Somi,
>
> I do not know the answer to your question but usually subsampling
> affects the final transform in a very small way and speeds up the
> convergence.
>
> Kishore
>
> On Thu, Nov 19, 2009 at 11:01 AM, somi <seesomi at gmail.com> wrote:
> > Hi,
> > Is there a way in ITK to perform deformable registration between two
> volumes
> > if the volumes are very large and cannot be loaded into memory ?
> >
> > Regards,
> > somi
> >
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