Hi Hila,

we use the upsampling to ensure that no voxel that is crossed by a fiber is left out. This might happen if the distance between two points on the fiber is too large. And as said in my previous email, the filter does not calculate the number of fibers per voxel. But if desired it could easily be redesigned to do so. Just visit each voxel only once per fiber and skip the normalization step.

Regarding the runtime error you encountered, could you ad a bug to our bugtracker and upload the according .fib needed to reproduce the bug? I will have a look at it in the next couple of days.

Best
Peter

On 21.03.2012 10:58, Hila Hiler wrote:
In addition,

I investigated the code of itkTractDensityImageFilter and wondered :
why is the up-sampling necessary ? I guess that the connection between density and upsampling isn't comprehensible for me. and however, how is the sampling correlated to your algorithm description (that measures number of fibers per a voxel)?

any information or links to data sources would be very helpful.

Best,
Hila

On Tue, Mar 20, 2012 at 10:45 AM, Hila Hiler <[email protected] <mailto:[email protected]>> wrote:

    I'm starting to wonder whether the data of fibers that inserted is
    incorrect, although I generated the .fib file as suggested.

    And the bar "fiber bundle statistics" presents:
    fibers

    Number of fibers: 10000

    Mean fiber length: 7.01857cm

    Median fiber length: 6.93052cm

    Standard deviation: 5.39865cm


    But still I got that run time error that is illustrated in the
    attached file.

    now I can't do nothing with this module because the same error
    represented in each application...


    What's the reason for this?


    Regards,

    Hila


    On Mon, Mar 19, 2012 at 10:44 AM, Hila Hiler <[email protected]
    <mailto:[email protected]>> wrote:

        Thank you Peter.

        I tried to use the GUI in order to generate a density image
        but I encountered with a run time error that indicates about
        an access violation reading location in:

        vtkIdType GetNumberOfPoints() {return
        this->Data->GetNumberOfTuples();}

        any ideas?


        On Sun, Mar 18, 2012 at 10:24 AM, Peter Neher
        <[email protected]
        <mailto:[email protected]>> wrote:

            Dear Hila,

            we basically walk along the fiber and increase the grey
            value of each encountered voxel. Afterwards everything is
            normalized to one. So you don't get absolute values how
            many fibers are passing each voxel but an indicator of
            where are many and where are only few fibers in the image.

            The filter is called in
            QmitkFiberProcessingView::GenerateTractDensityImage so you
            can use that as a reference. The simplest example would be
            the following:

            itk::TractDensityImageFilter< float >::Pointer generator =
            itk::TractDensityImageFilter< float >::New();
            generator->SetFiberBundle(fib);
            generator->Update();

            where fib is a mitk::FiberBundleX::Pointer.

            Best
            Peter


            On 16.03.2012 18:28, Hila Hiler wrote:
            Thank you!

            would you please explain :
               - how this filter works (a brief description of the
            algorithm) ?
               - example of how to use this filter ? (which inputs to
            insert, how to get the output ...)

            many thanks in advance ...

            Best,
            Hila


            On Thu, Mar 15, 2012 at 6:32 PM, Peter Neher
            <[email protected]
            <mailto:[email protected]>> wrote:

                Actually I recently changed the name to
                itk::TractDensityImageFilter.

                On 15.03.2012 13:20, Fritzsche, Klaus H. wrote:

                Dear Hila,

                die you see the
                itk::TractsToProbabilityImageFilterin
                Modules/DiffusionImaging/Algorithms?

                Best

                Klaus

                *Von:*Hila Hiler [mailto:[email protected]]
                *Gesendet:* Donnerstag, 15. März 2012 12:54
                *An:* Neher, Peter
                *Cc:* [email protected]
                <mailto:[email protected]>
                *Betreff:* [mitk-users] Fwd: need advice:
                measurement of density of fibers

                Dear Peter, Mitk's users

                Would you please consider my question?
                any ideas/thoughts would be very appreciated!

                It's obvious that the density equation is:
                [samples/volume]*[samples/fiber]

                but I'm afraid it's not the right aspect to this
                challenge.

                maybe the bundle color’s gradients can provide any
                helpful details?


                Best,
                Hila


                ---------- Forwarded message ----------
                From: *Hila Hiler* <[email protected]
                <mailto:[email protected]>>
                Date: Sat, Mar 10, 2012 at 10:10 PM
                Subject: need advice: measurement of density of fibers
                To: [email protected]
                <mailto:[email protected]>

                Hi all,

                How I can calculate the fibers density from a
                .fib/.vtk 3d image ?
                I thought to calculate it along it's direction of
                longitude.
                maybe I should consider to calculate the number of
                fibers which are crossing an orthogonal plane?

                another q: how  I can achieve the gradient value
                which is represented as a color on the .fib file?




-- Dipl.-Inform. Peter Neher
            German Cancer Research Centre
            (DKFZ, Deutsches Krebsforschungszentrum in der 
Helmholtz-Gemeinschaft, Stiftung des öffentlichen Rechts)
            Division of Medical and Biological Informatics
            Im Neuenheimer Feld 280, D-69120 Heidelberg

            Phone: 49-(0)6221-42-3552, Fax: 49-(0)6221-42-2345
            E-Mail:[email protected]  <mailto:[email protected]>, 
Web:www.dkfz.de  <http://www.dkfz.de>

            The information contained in this message may be confidential and 
legally protected under applicable law. The message is intended solely for the 
addressee(s). If you are not the intended recipient, you are hereby notified 
that any use, forwarding, dissemination, or reproduction of this message is 
strictly prohibited and may be unlawful. If you are not the intended recipient, 
please contact the sender by return e-mail and destroy all copies of the 
original message.





--
Dipl.-Inform. Peter Neher
German Cancer Research Centre
(DKFZ, Deutsches Krebsforschungszentrum in der Helmholtz-Gemeinschaft, Stiftung 
des öffentlichen Rechts)
Division of Medical and Biological Informatics
Im Neuenheimer Feld 280, D-69120 Heidelberg

Phone: 49-(0)6221-42-3552, Fax: 49-(0)6221-42-2345
E-Mail: [email protected], Web: www.dkfz.de

The information contained in this message may be confidential and legally 
protected under applicable law. The message is intended solely for the 
addressee(s). If you are not the intended recipient, you are hereby notified 
that any use, forwarding, dissemination, or reproduction of this message is 
strictly prohibited and may be unlawful. If you are not the intended recipient, 
please contact the sender by return e-mail and destroy all copies of the 
original message.

------------------------------------------------------------------------------
This SF email is sponsosred by:
Try Windows Azure free for 90 days Click Here 
http://p.sf.net/sfu/sfd2d-msazure
_______________________________________________
mitk-users mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/mitk-users

Reply via email to