[Insight-users] Brain Segmentation of inhomogeneous images

[Luis Ibanez]

Hi Andre,

You may want to take a look at the MRIBiasFieldCorrection filter:
http://www.itk.org/Insight/Doxygen/html/classitk_1_1MRIBiasFieldCorrectionFilter.html

and its use in the application:

            InsightApplications/MRIBiasCorrection

You will find useful to read the related papers:

    http://www.ia.unc.edu/public/styner/docs/tmi00.pdf
    http://www.ia.unc.edu/public/styner/docs/StynerTR97.pdf

listed in the README file.


    Regards,


        Luis


-------------------------------
a.bongers at mediri.com wrote:
> Hi,
> 
> I am trying to use a Bayes Classifier to segment white ang gray brain matter from MRI images. Works O.K. so far, but I have the problem that many 3D images have varying gray-values e.g. in within the white matter. Thats probably due to RF inhomognieties from the coil or the like. 
> The problem is that due to these slowly varying intensities the segmentation mis-calssifies GM and WM e.g. in the back of the brain.
> 
> Has anybody a helpful idea to get better results ?
> I was thinking about hig-pass filtering the images to homogenize the intensities.
> Is there a high- or bandpass filter in itk ?
> 
> Thanks a lot!
> 
> André
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