Hi Ralf,
Thanks for the hints. It helps in searching in right direction.
Best Regards,
Arpit
On Thu, Mar 5, 2015 at 9:49 PM, Floca, Ralf Omar <[email protected]
> wrote:
> Hi Arpit,
>
> you are welcome.
>
> Just two hints.
>
> 1) It is a multimodal problem. So look for multimodal cost functions like
> Normalized Mutual Information or Mattes Mutual Information (in ITK, mostly
> the search space is less noise then with the simple itk Mutual Information).
>
> 2) From your mail I assume that you have a intra-personal problem
> statement (aka registering data of one person and not of many persons). If
> it is just about registering the Heads (skull) then a rigid transformation
> model should be sufficient. If you have changes in the brain topology (e.g.
> brain shift due to surgery or tumor growth, changes in longitudinal follow
> up) which you want to compensate it becomes much harder (and a deformable
> registration problem).
>
> Best regards,
> Ralf
>
> Von: Arpit Paliwal [mailto:[email protected]]
> Gesendet: Freitag, 27. Februar 2015 15:01
> An: Floca, Ralf Omar
> Cc: [email protected]
> Betreff: Re: CT MR 3D Fusion (Arpit Paliwal)
>
> Hi Ralf,
>
> Thanks for your detailed reply.
>
> I am new to image based applications. I would like to do CT & MR
> registration of human brain with C++ classes.
> Thanks for pointing me to ITK. It seems ITK framework can help me with
> the registration.
>
> In the meantime I'll also explore the working of MITK workbench for the
> registration.
>
> Best Regards,
> Arpit
>
>
> On Wed, Feb 25, 2015 at 9:49 PM, Floca, Ralf Omar <
> [email protected]> wrote:
> Dear Arpit,
>
> regarding your questions
>
> > Is there any class available in MITK to achieve the 'automatic' 3D
> > registration of CT & MR ?
>
> Just to be sure that we are not talking on crossed purposes: Are you
> searching for a solution on (1) the C++-class levels (so e.g. for own
> programs) or on (2) the MITK workbench level?
>
> For (1) I would advise you to look at the registration framework that is
> part of ITK [1] and offers several options for image registrations. Have
> also a look at the ITK SoftwareGuide book 2 chapter 3 "Registration" [2] or
> at the ITK mailinglist. The ITK registration pipeline - as any itk filter
> pipeline - can directly be integrated in your MITK code.
>
> For (2) There is a registration plug-in in the MITK release which offers a
> wrapping for ITK v3 registration algorithms. So there is the possibility to
> determine rigid/affine registrations.
> Remark 1: to exploit all possibilities the advanced tab must be activated.
> See a recent mailinglist conversation on that topic [3].
> Remark 2: The current implementation in the MITK workbench only produces
> the mapped image. So on this level you have no access the transformation
> determined by the registration algorithm
>
> > registration of CT & MR ?
> Despite the technical level above, the answer is: It depends.
>
> It depends heavily on your problem statement (e.g. which body region,
> quality/peculiarities of your input data, what is the goal of your
> registration (it makes a huge differences e.g. if you look at the pelvis
> for example and you say, I want the bony structures registered or the
> bowel), and so on). So this question cannot be answered reasonably without
> knowing more details.
>
> Hope this answer helps at least a little bit.
>
> Kind regards,
>
> Ralf Floca
>
>
> [1] http://www.itk.org/
> [2] http://www.itk.org/ItkSoftwareGuide.pdf
> [3] http://sourceforge.net/p/mitk/mailman/message/33466315/
>
>
> > -----Ursprüngliche Nachricht-----
> > Message: 3
> > Date: Sun, 15 Feb 2015 22:07:06 +0530
> > From: Arpit Paliwal < >
> > Subject: [mitk-users] CT MR 3D Fusion
> > To: "[email protected]"
> > <[email protected]>
> > Message-ID:
> > <CALTt7XiivY-
> > [email protected]>
> > Content-Type: text/plain; charset="utf-8"
> >
> > Dear All,
> >
> > I am working on 3D CT / MR image registration (fusion).
> > Is there any class available in MITK to achieve the 'automatic' 3D
> > registration of CT & MR ?
> > For e.g. I provide CT & MR images as input & get the required
> > transformation as output.
> >
> > Best Regards,
> > Arpit
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