Metal artifact : final step

The last time, we had created a clean sinogram. We will use an inverse radon transform to reconstruct the image from the sinogram.

Fig .7 : Corrected image, without metal replacing (left), with metal replacing (right)

Here we can see that the metal artifact is gone, the image is ready to be analyzed. We have the choice to replace or not the metallic part after removing the artifact.

One thing to do would be to find a way to segment the metallic part without using a threshold. The threshold has to be determined by the user for each image and some datasets contains more than 500 images.

The method we're currently using with quite good results is the mean-shift segmentation.

Finally, a photo of a real case, here the artifacts were messing with the Digital Image Correlation:

Fig .8 : CT scan of an Mg alloy, before correction (left), after correction (right)

It 's the end of a long series of posts, I hope you enjoyed it.