Hello,
Usually, scanners do this for you and you don't have to do it manually,
we only use constants for i0 (--i0) and dark (--idark). If you have to
do it, you can use itk to do it projection per projection. The filters
you use are
itk::SubractImageFilter (difference between two images)
itk::DivideImageFilter (ratio between two images)
itk::LogImageFilter
I've done this for some cases, e.g., XRadRawToAttenuationImageFilter,
look at the code.
Simon
On 22/04/2016 13:27, AMJAD N wrote:
Hello users,
I have read Flat field image correction using dark ( projection with
CT-off, detector-on ) and bright ( projection with CT-on, detector-on
and no object in between CT and detector ) images procured before
scanning any substance.
correction = log (bright image) - log ( projection-dark image ); //
for all projections
This pre-processed images are then fed to FDK algorithm.
Did someone here tried this method? If I want to implement this, do I
have to write a separate class for this? Any suggestions for that?
PS: Presently I am using LUTbasedVariableI0RawToAttenuationImageFilter
and I am getting reasonably good output. When i implemented FDK in
MATLAB i used this flat field correction and result was good. So I
want to know the impact with RTK.
Thanks and Regards,
AMJAD N
_______________________________________________
Rtk-users mailing list
[email protected]
http://public.kitware.com/mailman/listinfo/rtk-users
_______________________________________________
Rtk-users mailing list
[email protected]
http://public.kitware.com/mailman/listinfo/rtk-users
