[Insight-users] segmentation registration

[Luis Ibanez]

Hi Michael,

In order to get a feeling of what kind  of
volume rendering approach you want to use
you could test your data with the free
version of VolView.

http://www.kitware.com/products/volview.html

For segmenting the tissue, level sets may
not be appropriate since the tag lines are
probably more intense than the tissue
differences. You can easily figure out the
relative differences by computing the gradient
magnitude of the image. If in the gradient
magnitude, the edges of the tag lines are
more intense than the edges of the tonge,
then it is unlikely that level sets would
be ablo to segment the tonge itself.


You should give it a try to watersheds,
althought this will require some user
interaction/supervision.


You will find examples on watersheds on the
SoftwareGuide and an interactive watershed
segmenation tool in InsightApplications.


I would suggest you to do supervised segmentation
of only one initial tonge dataset. Then do deformable
registration of this dataset with the dataset of the
next time step, and then map the segmenation of the
first one through the deformation field. That is,
perform segmentation via registration with a segmented
model.



Regards,



    Luis



---------------
a a wrote:

> Hi to all,
>  
> i have a set of tagged MRI slices of a tongue, which i have to render 
> the volume and measure the deformation based on the tagged lines. For 
> the image processing part, i've decided to use ITK, but i need some 
> guidelines as i'm new to this area:
>  
> Can the segmentation tools (i.e. GeodesicActiveContour) be used to 
> segment the images in 3D (i.e. multiple slices loaded as a volume), are 
> there any examples for that?
> As i will need to visualize (VTK) and analyse the deformable solid model 
> of the tongue, are there any tools/examples for tracking the deformation 
> of the tongue and the tagged lines? Can anyone roughly tell me the steps 
> to take to achieve this, thanks.
>  
>  
> have a nice day
> Michael
> 
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