[MINC-users] spatially-variant mincblur?

[Olivier Rousset]

Steve,
What I am in search of is a non-stationary version of
mincblur, which currently supports anisotropic
blurring kernels, but provides no spatial variation
encoding. I would like to create simulated PET data,
for which I need a spatially-variant point-spread
function (PSF) that would be more realistic than a
stationary PSF.

- Olivier 

--- "Steve M. Robbins" <steven.robbins at videotron.ca>
wrote:

> On Mon, Apr 17, 2006 at 02:58:50PM -0700, Olivier
> Rousset wrote:
> > I was wondering whether a non-stationary kernel
> can be
> > specified with mincblur (apparently not in the
> current
> > version), or if alternatively there would be a
> program
> > that could do that? I am thinking that maybe
> > stationary kernels could be used on parts of the
> > images [where spatial resolution is assumed
> constant]
> > and then combine the resulting blurred images
> [since
> > these operations can be considered as linear];
> this
> > would involve masking of the image with
> appropriate
> > masks defined using "resolution isocontours".
> 
> It sounds like you are after a non-stationary
> isotropic smoothing --
> as opposed to a non-isotropic ("don't blur across
> edges") smoothing.
> 
> Just out of curiousity: what sort of data requires
> that treatment?
> 
> -Steve
> 
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