[Insight-users] Centerline

[Simon ESNEAULT]

Hi Dan and all,

We use here your nice
contribution<http://www.midasjournal.org/browse/publication/213>for
the centerline extraction, and we also had some trouble with
centerlines near the border, with a crash and that kind of backtrace :

1 - 0x00000001001a0d28: itk::InterpolateImageFunction<itk::Image<float,
3u>, double>::Evaluate(itk::Point<double, 3u> const ) const in
libThEndosize.dylib
2 - 0x0000000100194eb4:
itk::PhysicalCentralDifferenceImageFunction<itk::Image<float, 3u>,
double>::Evaluate(itk::Point<double, 3u> const ) const in
libThEndosize.dylib
3 - 0x00000001001951c4: itk::SingleImageCostFunction<itk::Image<float, 3u>
>::GetDerivative(itk::Array<double> const , itk::Array<double> ) const in
libThEndosize.dylib
4 - 0x0000000100620ae1:
itk::RegularStepGradientDescentBaseOptimizer::ResumeOptimization() in
libThItk.dylib
5 - 0x0000000100620f62:
itk::RegularStepGradientDescentBaseOptimizer::StartOptimization() in
libThItk.dylib
6 - 0x00000001001ac692: itk::ArrivalFunctionToPathFilter<itk::Image<float,
3u>, itk::PolyLineParametricPath<3u> >::GenerateData() in
libThEndosize.dylib
7 - 0x00000001001b0651: itk::SpeedFunctionToPathFilter<itk::Image<float,
3u>, itk::PolyLineParametricPath<3u> >::GenerateData() in
libThEndosize.dylib

Our assumption was also that in some case when the centerline was near the
border the gradient descent optimizer ask for a point outside of the image,
leading to that crash, but we disdn't use the "padding" hack. So my
question is : how much should be the padding to be sure that a crash like
that won't occurs ?

Thanks again for your contribution.

-Simon

On Sun, Apr 29, 2012 at 00:28, Dan Mueller <dan.muel at gmail.com> wrote:

> Hi Charu,
>
> (I was just re-reading my email, I don't think I was clear enough.)
>
> I used Fast Marching to extract the paths in your 3d dataset. Then I
> projected both the dataset and the paths onto a 2d image, which was
> attached to my previous email. In short: the method works for 3d data.
>
> Cheers, Dan
>
> On 29 April 2012 07:54, Dan Mueller <dan.muel at gmail.com> wrote:
> > Hi Charu,
> >
> > The image I attached to my previous email was a MIP of your 3d
> > dataset. This method works with both 2d or 3d data.
> >
> > Cheers, Dan
> >
> > On 29 April 2012 05:17, chans at cs.uh.edu <chans at cs.uh.edu> wrote:
> >> Hi Dan,
> >>
> >> Thank You for your reply. I looked at Fast Marching minimization. It
> works
> >> for 2d images. What, I have here is 3d data.
> >>
> >> Thank You
> >> Charu
> >>
> >> --
> >> View this message in context:
> http://itk-insight-users.2283740.n2.nabble.com/Centerline-tp7507501p7509617.html
> >> Sent from the ITK Insight Users mailing list archive at Nabble.com.
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Simon Esneault - Therenva
Centre d'Innovation Technologique
Centre Cardio-Pneumologique
CHU Pontchaillou
Rennes, France
Tel : +33 (0)6 64 61 30 94
Mail : simon.esneault at therenva.com
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