[Insight-users] which registration method do you recommend

[Luis Ibanez]

Hi Alireza,

There are many potential approaches for segmenting fiducials.

The suitability of a segmentation methods to your problem
will depend on the contrast of the fiducial, the fiducial
size and shape, and the image resolution, among other things.

It is hard to recommend you a segmentation method without
having more information about the characteristics of your
images.

Is it possible for you to post in a web page a screen shot of
any of your images illustrating the view of a fiducial ?


    Thanks


       Luis


---------------------------
Alireza Salamy wrote:
> Hi luis,
> Is there any algorithm in ITK to find the fiducial and give out the 
> coordinate of fiducial points?if no,from where shall I find some hint 
> for writting an algorithm in C++ or C to find the coordinates of the 
> fiducial?I want the algorithm to be as accurate as possible so I don't 
> want to combine itk+Vtk to ask the user defining the points.
> It is so cruial for me .Please help me if it is possible.
> Alireza
> 
> */Luis Ibanez <luis.ibanez at kitware.com>/* wrote:
> 
> 
> 
>     Hi Alireza,
> 
> 
>     You are dealing with at 2D / 3D registration problem.
> 
> 
>     Here is one possible way to address it:
> 
> 
>     1) Segment the fiducial from your preoperative MRI image.
>     Generate with them a list of point coordinates (x,y,z).
>     Load those coordinates into an itkPointSet.
> 
>     2) Segment the black&white patters from the 2D video image
>     Load those coordinates into an itkPointSet.
> 
>     3) Use the itkRigid3DPerspectiveTransform.h along with the
>     PointSetToPointSetRegistration framework that is described
>     in the Examples:
> 
>     Insight/Examples/Patented/
>     IterativeClosestPoint1.cxx
>     IterativeClosestPoint2.cxx
>     IterativeClosestPoint3.cxx
> 
> 
> 
>     Regards,
> 
> 
>     Luis
> 
> 
>     ---------------------
>     Alireza Salamy wrote:
>      > *Hi all Insight users,*
>      > *I am working on the project which is displaying of MR images in the
>      > operation room by means of Mixed reality for future use in
>     neurosurgical
>      > operation rooms.this involves fusion of optical images from a web
>     camera
>      > with preoperatively acquired MRI images.the geometrical
>     correspondence
>      > between optical and MRI images is to be carried out in two
>      > steps:1-initial registration of MRI and physical reality.2-real-time
>      > tracking to compensate for motion of the camera relative to the MRI
>      > image.my duty deals with the first problem.*
>      > *I construct a phantom that is visible both in MRI images and
>     optical
>      > images.this is used together with a bitting fixation device to
>     achieve a
>      > reproducible position relative to the skull.It contain at least 3
>     points
>      > identifiable in MRI images,e.g.containing a lipid with
>     characteristic
>      > MRI signal,as well as a structure easily recognized in the optical
>      > image,e.g a simple geometrical pattern in Black and White.*
>      > *It would be great if you recommend me an algorithm for registration
>      > between the phantom that I made and physical reality,finding the
>      > geometrical relationship(transformation matrix) between the
>     volunteer 's
>      > head and the phantom.this involves identifying the MRI-visible
>     points in
>      > the phantom and using the known geometric relationship between
>     these and
>      > the optical pattern.*
>      > *thank you very much for your help.*
>      > *Alireza*
>      > **
>      >
>      >
>      >
>      >
>      >
>      >
>      >
>      >
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