[Insight-users] Smoothing Vector Images

[Merrem, Andreas]

Hi Bill and Sergio,

Thank you for your answers.

I tried using nth element adaptors and the VectorIndexSelectionCastImageFilter, but it doesn't make it faster, what takes time is really the smoothing itself (as you already expected). 

Yes, I built both the itk library and the application in release mode. Do you think a second is a reasonable amount of time for smoothing 3 image volumes of size 256*256*22?

If anyone knows a smoothing filter that does Gaussian smoothing and works faster than the itk recursive filter (perhaps something in frequency space) that would be a great help. 





-----Ursprüngliche Nachricht-----
Von: Bill Lorensen [mailto:bill.lorensen at gmail.com] 
Gesendet: Dienstag, 15. Juni 2010 20:12
An: Merrem, Andreas
Cc: Luis Ibanez; insight-users at itk.org
Betreff: Re: [Insight-users] Smoothing Vector Images

First question: are you building ITK and your app with Release?

On Tue, Jun 15, 2010 at 11:34 AM, Merrem, Andreas <andreas.merrem at medma.uni-heidelberg.de> wrote:
> Hi Luis, hi everyone,
>
> I am trying to smooth 3D image volumes of size 256 * 256 * 22 pixels, 
> in which each pixel contains a 3 dimensional itk::CovariantVector. The 
> vector components should be smoothed independently over the whole 
> volume. My current solution is to first copy the 3 vector components 
> in each pixel into
> 3 separate images with pixel type float, then use the 
> itk::RecursiveGaussianImageFilter for smoothing on all 3 images, and 
> finally copy the pixel values of the smoothed images back into the 
> covariant vector image.
>
> My problem is that this procedure takes about one second. As a part of 
> a registration program, this leads to extremely slow registration 
> (about 10 minutes for one 256*256*22 dicom volume). Is there a way to 
> use less memory by avoiding the copying, or do you know a different, 
> faster technique of applying a Gaussian filter?
>
> Thanks a lot,
>
> Andreas
>
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