Hi Lingfeng,
teeth are very bright and tube-like, which is why they get enhanced.
One (kind of hacky) thing you could do is to remap the intensity above the
level
of the brightest vessels, so that very bright objects become very dark ones,
and the vessel enhancement filters will not detect them (they could detect
the background to object transitions, but whether this might create an actual
issue
will have to be evaluated in practice).
One more thing you can do is to try to be a lot more selective with the sigmas
(the spatial scales). Since the filter is scale-specific and the scale is
expressed
(in your case) in mm, what you're doing with your command line is that you are
"erasing" what is smaller than 1 mm. I expect most intracranial vessels to be
below
that level, so maybe you could fiddle with the sigmamin and see what happens.
One last aspect is about the other parameters, alpha, beta and gamma. In
particular,
try varying gamma, which modulates what the filter sees as background noise vs
structure to enhance. You might want to tune that one so that vessels, which are
a lot dimmer than bones, are enhanced as well. Try varying it by orders of
magnitude.
Keep in mind that you're working with an unmasked CT dataset. This means that
a few vessels (I'm thinking about the cavernous segment of the ICA) will be
really
close to bones (or in this case surrounded by them), so the filter will not be
able
to enhance them accurately (since their actual scale will not be detected
correctly
as they form a vessel+bone complex in intensity space).
Hope this helps
Luca
--
Luca Antiga, PhD
Cofounder and Principal Scientist, Orobix Srl
via L.A. Muratori 3, 24123 Bergamo, Italy
orobix: www.orobix.com
home: lantiga.github.com
twitter: twitter.com/lantiga
On Sep 19, 2012, at 5:03 PM, Lingfeng Zhuang wrote:
> Hi all,
>
> I tried use vmtkimagevesselenhancement to enhancement vessel. But I found no
> vessel is enhanced, instead, bone (like tooth) is enhanced.
>
> The script run is
>
> vmtkimagecast -ifile "Brain_CTA.mhd" -type float --pipe
> vmtkimagevesselenhancement -method sato -sigmamax 2 -sigmasteps 2 --pipe
> vmtkimagemipviewer
>
> Regards,
>
> zlf
>
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