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Identify the metal by thresholding. If you're talking about Xray CT, then
try to keep your data 16 bit. Xray images are given in Hounsfield units
which relate to the density of electrons in the attennuating medium. Metal
is a good one-or-two thousand units higher than the next highest material in
your scan (bone) so thresholding a 16 bit (long integer) image leaves no
scope for ambiguity. The low resolution might be due to heavy smoothing
which is often necessary when a CT image contains metal - Metal gives rise
to 'streaking' artefacts which are reduced by smoothing.
After the thresholding you want to view the metal in 3D ?
I've yet to see some good 3D rendering in imageJ (this is where somebody
probes me wrong). It might be best to run an edge filter on the thresholded
image to get co-ordinates of the surface voxels (those with significant
'edge-ness') and then import those co-ordinates to something else like Matlab.
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